From 5702ae1d1a9d9474ce7b93a6660531b9ea57da37 Mon Sep 17 00:00:00 2001 From: GrahamZen <931252924@qq.com> Date: Sat, 9 Sep 2023 12:14:46 -0400 Subject: [PATCH 1/7] finish 1.2 --- src/kernel.cu | 564 +++++++++++++++++++++++++++----------------------- 1 file changed, 304 insertions(+), 260 deletions(-) diff --git a/src/kernel.cu b/src/kernel.cu index 74dffcb..8848975 100644 --- a/src/kernel.cu +++ b/src/kernel.cu @@ -20,15 +20,15 @@ /** * Check for CUDA errors; print and exit if there was a problem. */ -void checkCUDAError(const char *msg, int line = -1) { - cudaError_t err = cudaGetLastError(); - if (cudaSuccess != err) { - if (line >= 0) { - fprintf(stderr, "Line %d: ", line); - } - fprintf(stderr, "Cuda error: %s: %s.\n", msg, cudaGetErrorString(err)); - exit(EXIT_FAILURE); - } +void checkCUDAError(const char* msg, int line = -1) { + cudaError_t err = cudaGetLastError(); + if (cudaSuccess != err) { + if (line >= 0) { + fprintf(stderr, "Line %d: ", line); + } + fprintf(stderr, "Cuda error: %s: %s.\n", msg, cudaGetErrorString(err)); + exit(EXIT_FAILURE); + } } @@ -66,22 +66,22 @@ dim3 threadsPerBlock(blockSize); // Consider why you would need two velocity buffers in a simulation where each // boid cares about its neighbors' velocities. // These are called ping-pong buffers. -glm::vec3 *dev_pos; -glm::vec3 *dev_vel1; -glm::vec3 *dev_vel2; +glm::vec3* dev_pos; +glm::vec3* dev_vel1; +glm::vec3* dev_vel2; // LOOK-2.1 - these are NOT allocated for you. You'll have to set up the thrust // pointers on your own too. // For efficient sorting and the uniform grid. These should always be parallel. -int *dev_particleArrayIndices; // What index in dev_pos and dev_velX represents this particle? -int *dev_particleGridIndices; // What grid cell is this particle in? +int* dev_particleArrayIndices; // What index in dev_pos and dev_velX represents this particle? +int* dev_particleGridIndices; // What grid cell is this particle in? // needed for use with thrust thrust::device_ptr dev_thrust_particleArrayIndices; thrust::device_ptr dev_thrust_particleGridIndices; -int *dev_gridCellStartIndices; // What part of dev_particleArrayIndices belongs -int *dev_gridCellEndIndices; // to this cell? +int* dev_gridCellStartIndices; // What part of dev_particleArrayIndices belongs +int* dev_gridCellEndIndices; // to this cell? // TODO-2.3 - consider what additional buffers you might need to reshuffle // the position and velocity data to be coherent within cells. @@ -99,13 +99,13 @@ glm::vec3 gridMinimum; ******************/ __host__ __device__ unsigned int hash(unsigned int a) { - a = (a + 0x7ed55d16) + (a << 12); - a = (a ^ 0xc761c23c) ^ (a >> 19); - a = (a + 0x165667b1) + (a << 5); - a = (a + 0xd3a2646c) ^ (a << 9); - a = (a + 0xfd7046c5) + (a << 3); - a = (a ^ 0xb55a4f09) ^ (a >> 16); - return a; + a = (a + 0x7ed55d16) + (a << 12); + a = (a ^ 0xc761c23c) ^ (a >> 19); + a = (a + 0x165667b1) + (a << 5); + a = (a + 0xd3a2646c) ^ (a << 9); + a = (a + 0xfd7046c5) + (a << 3); + a = (a ^ 0xb55a4f09) ^ (a >> 16); + return a; } /** @@ -113,63 +113,63 @@ __host__ __device__ unsigned int hash(unsigned int a) { * Function for generating a random vec3. */ __host__ __device__ glm::vec3 generateRandomVec3(float time, int index) { - thrust::default_random_engine rng(hash((int)(index * time))); - thrust::uniform_real_distribution unitDistrib(-1, 1); + thrust::default_random_engine rng(hash((int)(index * time))); + thrust::uniform_real_distribution unitDistrib(-1, 1); - return glm::vec3((float)unitDistrib(rng), (float)unitDistrib(rng), (float)unitDistrib(rng)); + return glm::vec3((float)unitDistrib(rng), (float)unitDistrib(rng), (float)unitDistrib(rng)); } /** * LOOK-1.2 - This is a basic CUDA kernel. * CUDA kernel for generating boids with a specified mass randomly around the star. */ -__global__ void kernGenerateRandomPosArray(int time, int N, glm::vec3 * arr, float scale) { - int index = (blockIdx.x * blockDim.x) + threadIdx.x; - if (index < N) { - glm::vec3 rand = generateRandomVec3(time, index); - arr[index].x = scale * rand.x; - arr[index].y = scale * rand.y; - arr[index].z = scale * rand.z; - } +__global__ void kernGenerateRandomPosArray(int time, int N, glm::vec3* arr, float scale) { + int index = (blockIdx.x * blockDim.x) + threadIdx.x; + if (index < N) { + glm::vec3 rand = generateRandomVec3(time, index); + arr[index].x = scale * rand.x; + arr[index].y = scale * rand.y; + arr[index].z = scale * rand.z; + } } /** * Initialize memory, update some globals */ void Boids::initSimulation(int N) { - numObjects = N; - dim3 fullBlocksPerGrid((N + blockSize - 1) / blockSize); - - // LOOK-1.2 - This is basic CUDA memory management and error checking. - // Don't forget to cudaFree in Boids::endSimulation. - cudaMalloc((void**)&dev_pos, N * sizeof(glm::vec3)); - checkCUDAErrorWithLine("cudaMalloc dev_pos failed!"); - - cudaMalloc((void**)&dev_vel1, N * sizeof(glm::vec3)); - checkCUDAErrorWithLine("cudaMalloc dev_vel1 failed!"); - - cudaMalloc((void**)&dev_vel2, N * sizeof(glm::vec3)); - checkCUDAErrorWithLine("cudaMalloc dev_vel2 failed!"); - - // LOOK-1.2 - This is a typical CUDA kernel invocation. - kernGenerateRandomPosArray<<>>(1, numObjects, - dev_pos, scene_scale); - checkCUDAErrorWithLine("kernGenerateRandomPosArray failed!"); - - // LOOK-2.1 computing grid params - gridCellWidth = 2.0f * std::max(std::max(rule1Distance, rule2Distance), rule3Distance); - int halfSideCount = (int)(scene_scale / gridCellWidth) + 1; - gridSideCount = 2 * halfSideCount; - - gridCellCount = gridSideCount * gridSideCount * gridSideCount; - gridInverseCellWidth = 1.0f / gridCellWidth; - float halfGridWidth = gridCellWidth * halfSideCount; - gridMinimum.x -= halfGridWidth; - gridMinimum.y -= halfGridWidth; - gridMinimum.z -= halfGridWidth; - - // TODO-2.1 TODO-2.3 - Allocate additional buffers here. - cudaDeviceSynchronize(); + numObjects = N; + dim3 fullBlocksPerGrid((N + blockSize - 1) / blockSize); + + // LOOK-1.2 - This is basic CUDA memory management and error checking. + // Don't forget to cudaFree in Boids::endSimulation. + cudaMalloc((void**)&dev_pos, N * sizeof(glm::vec3)); + checkCUDAErrorWithLine("cudaMalloc dev_pos failed!"); + + cudaMalloc((void**)&dev_vel1, N * sizeof(glm::vec3)); + checkCUDAErrorWithLine("cudaMalloc dev_vel1 failed!"); + + cudaMalloc((void**)&dev_vel2, N * sizeof(glm::vec3)); + checkCUDAErrorWithLine("cudaMalloc dev_vel2 failed!"); + + // LOOK-1.2 - This is a typical CUDA kernel invocation. + kernGenerateRandomPosArray << > > (1, numObjects, + dev_pos, scene_scale); + checkCUDAErrorWithLine("kernGenerateRandomPosArray failed!"); + + // LOOK-2.1 computing grid params + gridCellWidth = 2.0f * std::max(std::max(rule1Distance, rule2Distance), rule3Distance); + int halfSideCount = (int)(scene_scale / gridCellWidth) + 1; + gridSideCount = 2 * halfSideCount; + + gridCellCount = gridSideCount * gridSideCount * gridSideCount; + gridInverseCellWidth = 1.0f / gridCellWidth; + float halfGridWidth = gridCellWidth * halfSideCount; + gridMinimum.x -= halfGridWidth; + gridMinimum.y -= halfGridWidth; + gridMinimum.z -= halfGridWidth; + + // TODO-2.1 TODO-2.3 - Allocate additional buffers here. + cudaDeviceSynchronize(); } @@ -180,42 +180,42 @@ void Boids::initSimulation(int N) { /** * Copy the boid positions into the VBO so that they can be drawn by OpenGL. */ -__global__ void kernCopyPositionsToVBO(int N, glm::vec3 *pos, float *vbo, float s_scale) { - int index = threadIdx.x + (blockIdx.x * blockDim.x); +__global__ void kernCopyPositionsToVBO(int N, glm::vec3* pos, float* vbo, float s_scale) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); - float c_scale = -1.0f / s_scale; + float c_scale = -1.0f / s_scale; - if (index < N) { - vbo[4 * index + 0] = pos[index].x * c_scale; - vbo[4 * index + 1] = pos[index].y * c_scale; - vbo[4 * index + 2] = pos[index].z * c_scale; - vbo[4 * index + 3] = 1.0f; - } + if (index < N) { + vbo[4 * index + 0] = pos[index].x * c_scale; + vbo[4 * index + 1] = pos[index].y * c_scale; + vbo[4 * index + 2] = pos[index].z * c_scale; + vbo[4 * index + 3] = 1.0f; + } } -__global__ void kernCopyVelocitiesToVBO(int N, glm::vec3 *vel, float *vbo, float s_scale) { - int index = threadIdx.x + (blockIdx.x * blockDim.x); +__global__ void kernCopyVelocitiesToVBO(int N, glm::vec3* vel, float* vbo, float s_scale) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); - if (index < N) { - vbo[4 * index + 0] = vel[index].x + 0.3f; - vbo[4 * index + 1] = vel[index].y + 0.3f; - vbo[4 * index + 2] = vel[index].z + 0.3f; - vbo[4 * index + 3] = 1.0f; - } + if (index < N) { + vbo[4 * index + 0] = vel[index].x + 0.3f; + vbo[4 * index + 1] = vel[index].y + 0.3f; + vbo[4 * index + 2] = vel[index].z + 0.3f; + vbo[4 * index + 3] = 1.0f; + } } /** * Wrapper for call to the kernCopyboidsToVBO CUDA kernel. */ -void Boids::copyBoidsToVBO(float *vbodptr_positions, float *vbodptr_velocities) { - dim3 fullBlocksPerGrid((numObjects + blockSize - 1) / blockSize); +void Boids::copyBoidsToVBO(float* vbodptr_positions, float* vbodptr_velocities) { + dim3 fullBlocksPerGrid((numObjects + blockSize - 1) / blockSize); - kernCopyPositionsToVBO << > >(numObjects, dev_pos, vbodptr_positions, scene_scale); - kernCopyVelocitiesToVBO << > >(numObjects, dev_vel1, vbodptr_velocities, scene_scale); + kernCopyPositionsToVBO << > > (numObjects, dev_pos, vbodptr_positions, scene_scale); + kernCopyVelocitiesToVBO << > > (numObjects, dev_vel1, vbodptr_velocities, scene_scale); - checkCUDAErrorWithLine("copyBoidsToVBO failed!"); + checkCUDAErrorWithLine("copyBoidsToVBO failed!"); - cudaDeviceSynchronize(); + cudaDeviceSynchronize(); } @@ -229,47 +229,87 @@ void Boids::copyBoidsToVBO(float *vbodptr_positions, float *vbodptr_velocities) * Compute the new velocity on the body with index `iSelf` due to the `N` boids * in the `pos` and `vel` arrays. */ -__device__ glm::vec3 computeVelocityChange(int N, int iSelf, const glm::vec3 *pos, const glm::vec3 *vel) { - // Rule 1: boids fly towards their local perceived center of mass, which excludes themselves - // Rule 2: boids try to stay a distance d away from each other - // Rule 3: boids try to match the speed of surrounding boids - return glm::vec3(0.0f, 0.0f, 0.0f); +__device__ glm::vec3 computeVelocityChange(int N, int iSelf, const glm::vec3* pos, const glm::vec3* vel) { + glm::vec3 my_pos = pos[iSelf]; + glm::vec3 perceived_center{ 0 }; + glm::vec3 c{ 0 }; + glm::vec3 perceived_velocity{ 0 }; + int rule1_neighbor_count = 0; + int rule3_neighbor_count = 0; + for (int i = 0; i < N; i++) + { + const glm::vec3 boid_pos = pos[i]; + if (i == iSelf) continue; + float dist = glm::distance(boid_pos, my_pos); + // Rule 1: boids fly towards their local perceived center of mass, which excludes themselves + if (dist < rule1Distance) { + rule1_neighbor_count++; + perceived_center += boid_pos; + } + // Rule 2: boids try to stay a distance d away from each other + if (dist < rule2Distance) + c -= (boid_pos - my_pos); + // Rule 3: boids try to match the speed of surrounding boids + if (dist < rule3Distance) { + rule3_neighbor_count++; + perceived_velocity += vel[i]; + } + } + glm::vec3 res = glm::vec3(0); + if (rule1_neighbor_count > 0) { + perceived_center /= rule1_neighbor_count; + res += (perceived_center - my_pos) * rule1Scale; + } + res += c * rule2Scale; + if (rule3_neighbor_count > 0) { + perceived_velocity /= rule3_neighbor_count; + res += perceived_velocity * rule3Scale; + } + return res; } /** * TODO-1.2 implement basic flocking * For each of the `N` bodies, update its position based on its current velocity. */ -__global__ void kernUpdateVelocityBruteForce(int N, glm::vec3 *pos, - glm::vec3 *vel1, glm::vec3 *vel2) { - // Compute a new velocity based on pos and vel1 - // Clamp the speed - // Record the new velocity into vel2. Question: why NOT vel1? +__global__ void kernUpdateVelocityBruteForce(int N, glm::vec3* pos, + glm::vec3* vel1, glm::vec3* vel2) { + int index = threadIdx.x + (blockIdx.x * blockDim.x); + if (index >= N) return; + // Compute a new velocity based on pos and vel1 + glm::vec3 vel_change = computeVelocityChange(N, index, pos, vel1); + glm::vec3 new_vel = vel1[index] + vel_change; + // Clamp the speed + if (glm::length(new_vel) > maxSpeed) { + new_vel = glm::normalize(new_vel) * maxSpeed; + } + // Record the new velocity into vel2. Question: why NOT vel1? + vel2[index] = new_vel; } /** * LOOK-1.2 Since this is pretty trivial, we implemented it for you. * For each of the `N` bodies, update its position based on its current velocity. */ -__global__ void kernUpdatePos(int N, float dt, glm::vec3 *pos, glm::vec3 *vel) { - // Update position by velocity - int index = threadIdx.x + (blockIdx.x * blockDim.x); - if (index >= N) { - return; - } - glm::vec3 thisPos = pos[index]; - thisPos += vel[index] * dt; - - // Wrap the boids around so we don't lose them - thisPos.x = thisPos.x < -scene_scale ? scene_scale : thisPos.x; - thisPos.y = thisPos.y < -scene_scale ? scene_scale : thisPos.y; - thisPos.z = thisPos.z < -scene_scale ? scene_scale : thisPos.z; - - thisPos.x = thisPos.x > scene_scale ? -scene_scale : thisPos.x; - thisPos.y = thisPos.y > scene_scale ? -scene_scale : thisPos.y; - thisPos.z = thisPos.z > scene_scale ? -scene_scale : thisPos.z; - - pos[index] = thisPos; +__global__ void kernUpdatePos(int N, float dt, glm::vec3* pos, glm::vec3* vel) { + // Update position by velocity + int index = threadIdx.x + (blockIdx.x * blockDim.x); + if (index >= N) { + return; + } + glm::vec3 thisPos = pos[index]; + thisPos += vel[index] * dt; + + // Wrap the boids around so we don't lose them + thisPos.x = thisPos.x < -scene_scale ? scene_scale : thisPos.x; + thisPos.y = thisPos.y < -scene_scale ? scene_scale : thisPos.y; + thisPos.z = thisPos.z < -scene_scale ? scene_scale : thisPos.z; + + thisPos.x = thisPos.x > scene_scale ? -scene_scale : thisPos.x; + thisPos.y = thisPos.y > scene_scale ? -scene_scale : thisPos.y; + thisPos.z = thisPos.z > scene_scale ? -scene_scale : thisPos.z; + + pos[index] = thisPos; } // LOOK-2.1 Consider this method of computing a 1D index from a 3D grid index. @@ -279,179 +319,183 @@ __global__ void kernUpdatePos(int N, float dt, glm::vec3 *pos, glm::vec3 *vel) { // for(y) // for(z)? Or some other order? __device__ int gridIndex3Dto1D(int x, int y, int z, int gridResolution) { - return x + y * gridResolution + z * gridResolution * gridResolution; + return x + y * gridResolution + z * gridResolution * gridResolution; } __global__ void kernComputeIndices(int N, int gridResolution, - glm::vec3 gridMin, float inverseCellWidth, - glm::vec3 *pos, int *indices, int *gridIndices) { - // TODO-2.1 - // - Label each boid with the index of its grid cell. - // - Set up a parallel array of integer indices as pointers to the actual - // boid data in pos and vel1/vel2 + glm::vec3 gridMin, float inverseCellWidth, + glm::vec3* pos, int* indices, int* gridIndices) { + // TODO-2.1 + // - Label each boid with the index of its grid cell. + // - Set up a parallel array of integer indices as pointers to the actual + // boid data in pos and vel1/vel2 } // LOOK-2.1 Consider how this could be useful for indicating that a cell // does not enclose any boids -__global__ void kernResetIntBuffer(int N, int *intBuffer, int value) { - int index = (blockIdx.x * blockDim.x) + threadIdx.x; - if (index < N) { - intBuffer[index] = value; - } +__global__ void kernResetIntBuffer(int N, int* intBuffer, int value) { + int index = (blockIdx.x * blockDim.x) + threadIdx.x; + if (index < N) { + intBuffer[index] = value; + } } -__global__ void kernIdentifyCellStartEnd(int N, int *particleGridIndices, - int *gridCellStartIndices, int *gridCellEndIndices) { - // TODO-2.1 - // Identify the start point of each cell in the gridIndices array. - // This is basically a parallel unrolling of a loop that goes - // "this index doesn't match the one before it, must be a new cell!" +__global__ void kernIdentifyCellStartEnd(int N, int* particleGridIndices, + int* gridCellStartIndices, int* gridCellEndIndices) { + // TODO-2.1 + // Identify the start point of each cell in the gridIndices array. + // This is basically a parallel unrolling of a loop that goes + // "this index doesn't match the one before it, must be a new cell!" } __global__ void kernUpdateVelNeighborSearchScattered( - int N, int gridResolution, glm::vec3 gridMin, - float inverseCellWidth, float cellWidth, - int *gridCellStartIndices, int *gridCellEndIndices, - int *particleArrayIndices, - glm::vec3 *pos, glm::vec3 *vel1, glm::vec3 *vel2) { - // TODO-2.1 - Update a boid's velocity using the uniform grid to reduce - // the number of boids that need to be checked. - // - Identify the grid cell that this particle is in - // - Identify which cells may contain neighbors. This isn't always 8. - // - For each cell, read the start/end indices in the boid pointer array. - // - Access each boid in the cell and compute velocity change from - // the boids rules, if this boid is within the neighborhood distance. - // - Clamp the speed change before putting the new speed in vel2 + int N, int gridResolution, glm::vec3 gridMin, + float inverseCellWidth, float cellWidth, + int* gridCellStartIndices, int* gridCellEndIndices, + int* particleArrayIndices, + glm::vec3* pos, glm::vec3* vel1, glm::vec3* vel2) { + // TODO-2.1 - Update a boid's velocity using the uniform grid to reduce + // the number of boids that need to be checked. + // - Identify the grid cell that this particle is in + // - Identify which cells may contain neighbors. This isn't always 8. + // - For each cell, read the start/end indices in the boid pointer array. + // - Access each boid in the cell and compute velocity change from + // the boids rules, if this boid is within the neighborhood distance. + // - Clamp the speed change before putting the new speed in vel2 } __global__ void kernUpdateVelNeighborSearchCoherent( - int N, int gridResolution, glm::vec3 gridMin, - float inverseCellWidth, float cellWidth, - int *gridCellStartIndices, int *gridCellEndIndices, - glm::vec3 *pos, glm::vec3 *vel1, glm::vec3 *vel2) { - // TODO-2.3 - This should be very similar to kernUpdateVelNeighborSearchScattered, - // except with one less level of indirection. - // This should expect gridCellStartIndices and gridCellEndIndices to refer - // directly to pos and vel1. - // - Identify the grid cell that this particle is in - // - Identify which cells may contain neighbors. This isn't always 8. - // - For each cell, read the start/end indices in the boid pointer array. - // DIFFERENCE: For best results, consider what order the cells should be - // checked in to maximize the memory benefits of reordering the boids data. - // - Access each boid in the cell and compute velocity change from - // the boids rules, if this boid is within the neighborhood distance. - // - Clamp the speed change before putting the new speed in vel2 + int N, int gridResolution, glm::vec3 gridMin, + float inverseCellWidth, float cellWidth, + int* gridCellStartIndices, int* gridCellEndIndices, + glm::vec3* pos, glm::vec3* vel1, glm::vec3* vel2) { + // TODO-2.3 - This should be very similar to kernUpdateVelNeighborSearchScattered, + // except with one less level of indirection. + // This should expect gridCellStartIndices and gridCellEndIndices to refer + // directly to pos and vel1. + // - Identify the grid cell that this particle is in + // - Identify which cells may contain neighbors. This isn't always 8. + // - For each cell, read the start/end indices in the boid pointer array. + // DIFFERENCE: For best results, consider what order the cells should be + // checked in to maximize the memory benefits of reordering the boids data. + // - Access each boid in the cell and compute velocity change from + // the boids rules, if this boid is within the neighborhood distance. + // - Clamp the speed change before putting the new speed in vel2 } /** * Step the entire N-body simulation by `dt` seconds. */ void Boids::stepSimulationNaive(float dt) { - // TODO-1.2 - use the kernels you wrote to step the simulation forward in time. - // TODO-1.2 ping-pong the velocity buffers + // TODO-1.2 - use the kernels you wrote to step the simulation forward in time. + dim3 fullBlocksPerGrid((numObjects + blockSize - 1) / blockSize); + kernUpdateVelocityBruteForce << > > (numObjects, dev_pos, dev_vel1, dev_vel2); + kernUpdatePos << > > (numObjects, dt, dev_pos, dev_vel2); + // TODO-1.2 ping-pong the velocity buffers + std::swap(dev_vel1, dev_vel2); } void Boids::stepSimulationScatteredGrid(float dt) { - // TODO-2.1 - // Uniform Grid Neighbor search using Thrust sort. - // In Parallel: - // - label each particle with its array index as well as its grid index. - // Use 2x width grids. - // - Unstable key sort using Thrust. A stable sort isn't necessary, but you - // are welcome to do a performance comparison. - // - Naively unroll the loop for finding the start and end indices of each - // cell's data pointers in the array of boid indices - // - Perform velocity updates using neighbor search - // - Update positions - // - Ping-pong buffers as needed + // TODO-2.1 + // Uniform Grid Neighbor search using Thrust sort. + // In Parallel: + // - label each particle with its array index as well as its grid index. + // Use 2x width grids. + // - Unstable key sort using Thrust. A stable sort isn't necessary, but you + // are welcome to do a performance comparison. + // - Naively unroll the loop for finding the start and end indices of each + // cell's data pointers in the array of boid indices + // - Perform velocity updates using neighbor search + // - Update positions + // - Ping-pong buffers as needed } void Boids::stepSimulationCoherentGrid(float dt) { - // TODO-2.3 - start by copying Boids::stepSimulationNaiveGrid - // Uniform Grid Neighbor search using Thrust sort on cell-coherent data. - // In Parallel: - // - Label each particle with its array index as well as its grid index. - // Use 2x width grids - // - Unstable key sort using Thrust. A stable sort isn't necessary, but you - // are welcome to do a performance comparison. - // - Naively unroll the loop for finding the start and end indices of each - // cell's data pointers in the array of boid indices - // - BIG DIFFERENCE: use the rearranged array index buffer to reshuffle all - // the particle data in the simulation array. - // CONSIDER WHAT ADDITIONAL BUFFERS YOU NEED - // - Perform velocity updates using neighbor search - // - Update positions - // - Ping-pong buffers as needed. THIS MAY BE DIFFERENT FROM BEFORE. + // TODO-2.3 - start by copying Boids::stepSimulationNaiveGrid + // Uniform Grid Neighbor search using Thrust sort on cell-coherent data. + // In Parallel: + // - Label each particle with its array index as well as its grid index. + // Use 2x width grids + // - Unstable key sort using Thrust. A stable sort isn't necessary, but you + // are welcome to do a performance comparison. + // - Naively unroll the loop for finding the start and end indices of each + // cell's data pointers in the array of boid indices + // - BIG DIFFERENCE: use the rearranged array index buffer to reshuffle all + // the particle data in the simulation array. + // CONSIDER WHAT ADDITIONAL BUFFERS YOU NEED + // - Perform velocity updates using neighbor search + // - Update positions + // - Ping-pong buffers as needed. THIS MAY BE DIFFERENT FROM BEFORE. } void Boids::endSimulation() { - cudaFree(dev_vel1); - cudaFree(dev_vel2); - cudaFree(dev_pos); + cudaFree(dev_vel1); + cudaFree(dev_vel2); + cudaFree(dev_pos); - // TODO-2.1 TODO-2.3 - Free any additional buffers here. + // TODO-2.1 TODO-2.3 - Free any additional buffers here. } void Boids::unitTest() { - // LOOK-1.2 Feel free to write additional tests here. - - // test unstable sort - int *dev_intKeys; - int *dev_intValues; - int N = 10; - - std::unique_ptrintKeys{ new int[N] }; - std::unique_ptrintValues{ new int[N] }; - - intKeys[0] = 0; intValues[0] = 0; - intKeys[1] = 1; intValues[1] = 1; - intKeys[2] = 0; intValues[2] = 2; - intKeys[3] = 3; intValues[3] = 3; - intKeys[4] = 0; intValues[4] = 4; - intKeys[5] = 2; intValues[5] = 5; - intKeys[6] = 2; intValues[6] = 6; - intKeys[7] = 0; intValues[7] = 7; - intKeys[8] = 5; intValues[8] = 8; - intKeys[9] = 6; intValues[9] = 9; - - cudaMalloc((void**)&dev_intKeys, N * sizeof(int)); - checkCUDAErrorWithLine("cudaMalloc dev_intKeys failed!"); - - cudaMalloc((void**)&dev_intValues, N * sizeof(int)); - checkCUDAErrorWithLine("cudaMalloc dev_intValues failed!"); - - dim3 fullBlocksPerGrid((N + blockSize - 1) / blockSize); - - std::cout << "before unstable sort: " << std::endl; - for (int i = 0; i < N; i++) { - std::cout << " key: " << intKeys[i]; - std::cout << " value: " << intValues[i] << std::endl; - } - - // How to copy data to the GPU - cudaMemcpy(dev_intKeys, intKeys.get(), sizeof(int) * N, cudaMemcpyHostToDevice); - cudaMemcpy(dev_intValues, intValues.get(), sizeof(int) * N, cudaMemcpyHostToDevice); - - // Wrap device vectors in thrust iterators for use with thrust. - thrust::device_ptr dev_thrust_keys(dev_intKeys); - thrust::device_ptr dev_thrust_values(dev_intValues); - // LOOK-2.1 Example for using thrust::sort_by_key - thrust::sort_by_key(dev_thrust_keys, dev_thrust_keys + N, dev_thrust_values); - - // How to copy data back to the CPU side from the GPU - cudaMemcpy(intKeys.get(), dev_intKeys, sizeof(int) * N, cudaMemcpyDeviceToHost); - cudaMemcpy(intValues.get(), dev_intValues, sizeof(int) * N, cudaMemcpyDeviceToHost); - checkCUDAErrorWithLine("memcpy back failed!"); - - std::cout << "after unstable sort: " << std::endl; - for (int i = 0; i < N; i++) { - std::cout << " key: " << intKeys[i]; - std::cout << " value: " << intValues[i] << std::endl; - } - - // cleanup - cudaFree(dev_intKeys); - cudaFree(dev_intValues); - checkCUDAErrorWithLine("cudaFree failed!"); - return; + // LOOK-1.2 Feel free to write additional tests here. + + // test unstable sort + int* dev_intKeys; + int* dev_intValues; + int N = 10; + + std::unique_ptrintKeys{ new int[N] }; + std::unique_ptrintValues{ new int[N] }; + + intKeys[0] = 0; intValues[0] = 0; + intKeys[1] = 1; intValues[1] = 1; + intKeys[2] = 0; intValues[2] = 2; + intKeys[3] = 3; intValues[3] = 3; + intKeys[4] = 0; intValues[4] = 4; + intKeys[5] = 2; intValues[5] = 5; + intKeys[6] = 2; intValues[6] = 6; + intKeys[7] = 0; intValues[7] = 7; + intKeys[8] = 5; intValues[8] = 8; + intKeys[9] = 6; intValues[9] = 9; + + cudaMalloc((void**)&dev_intKeys, N * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_intKeys failed!"); + + cudaMalloc((void**)&dev_intValues, N * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_intValues failed!"); + + dim3 fullBlocksPerGrid((N + blockSize - 1) / blockSize); + + std::cout << "before unstable sort: " << std::endl; + for (int i = 0; i < N; i++) { + std::cout << " key: " << intKeys[i]; + std::cout << " value: " << intValues[i] << std::endl; + } + + // How to copy data to the GPU + cudaMemcpy(dev_intKeys, intKeys.get(), sizeof(int) * N, cudaMemcpyHostToDevice); + cudaMemcpy(dev_intValues, intValues.get(), sizeof(int) * N, cudaMemcpyHostToDevice); + + // Wrap device vectors in thrust iterators for use with thrust. + thrust::device_ptr dev_thrust_keys(dev_intKeys); + thrust::device_ptr dev_thrust_values(dev_intValues); + // LOOK-2.1 Example for using thrust::sort_by_key + thrust::sort_by_key(dev_thrust_keys, dev_thrust_keys + N, dev_thrust_values); + + // How to copy data back to the CPU side from the GPU + cudaMemcpy(intKeys.get(), dev_intKeys, sizeof(int) * N, cudaMemcpyDeviceToHost); + cudaMemcpy(intValues.get(), dev_intValues, sizeof(int) * N, cudaMemcpyDeviceToHost); + checkCUDAErrorWithLine("memcpy back failed!"); + + std::cout << "after unstable sort: " << std::endl; + for (int i = 0; i < N; i++) { + std::cout << " key: " << intKeys[i]; + std::cout << " value: " << intValues[i] << std::endl; + } + + // cleanup + cudaFree(dev_intKeys); + cudaFree(dev_intValues); + checkCUDAErrorWithLine("cudaFree failed!"); + return; } From 9e1726a28c4639eb219157e5c6cae9e16fea93e3 Mon Sep 17 00:00:00 2001 From: GrahamZen <931252924@qq.com> Date: Sat, 9 Sep 2023 20:20:46 -0400 Subject: [PATCH 2/7] Finish 2.1 1. Switch to UNIFORM_GRID 2. Set a larger N --- src/kernel.cu | 111 ++++++++++++++++++++++++++++++++++++++++++++++++-- src/main.cpp | 4 +- 2 files changed, 110 insertions(+), 5 deletions(-) diff --git a/src/kernel.cu b/src/kernel.cu index 8848975..547e462 100644 --- a/src/kernel.cu +++ b/src/kernel.cu @@ -168,7 +168,18 @@ void Boids::initSimulation(int N) { gridMinimum.y -= halfGridWidth; gridMinimum.z -= halfGridWidth; - // TODO-2.1 TODO-2.3 - Allocate additional buffers here. + // DONE-2.1 TODO-2.3 - Allocate additional buffers here. + cudaMalloc((void**)&dev_particleArrayIndices, N * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_particleArrayIndices failed!"); + + cudaMalloc((void**)&dev_particleGridIndices, N * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_particleGridIndices failed!"); + + cudaMalloc((void**)&dev_gridCellStartIndices, N * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_gridCellStartIndices failed!"); + + cudaMalloc((void**)&dev_gridCellEndIndices, N * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_gridCellEndIndices failed!"); cudaDeviceSynchronize(); } @@ -325,10 +336,17 @@ __device__ int gridIndex3Dto1D(int x, int y, int z, int gridResolution) { __global__ void kernComputeIndices(int N, int gridResolution, glm::vec3 gridMin, float inverseCellWidth, glm::vec3* pos, int* indices, int* gridIndices) { + int index = blockIdx.x * blockDim.x + threadIdx.x; // TODO-2.1 // - Label each boid with the index of its grid cell. + glm::vec3 curr_pos = pos[index] - gridMin; + int x = (int)(curr_pos.x * inverseCellWidth); + int y = (int)(curr_pos.y * inverseCellWidth); + int z = (int)(curr_pos.z * inverseCellWidth); + gridIndices[index] = gridIndex3Dto1D(x, y, z, gridResolution); // - Set up a parallel array of integer indices as pointers to the actual // boid data in pos and vel1/vel2 + indices[index] = index; } // LOOK-2.1 Consider how this could be useful for indicating that a cell @@ -346,6 +364,20 @@ __global__ void kernIdentifyCellStartEnd(int N, int* particleGridIndices, // Identify the start point of each cell in the gridIndices array. // This is basically a parallel unrolling of a loop that goes // "this index doesn't match the one before it, must be a new cell!" + int index = blockIdx.x * blockDim.x + threadIdx.x; + if (index >= N) return; + if (index == 0) { + gridCellStartIndices[particleGridIndices[index]] = index; + return; + } + if (index == N-1) { + gridCellEndIndices[particleGridIndices[index]] = index; + return; + } + if (particleGridIndices[index] != particleGridIndices[index-1]) { + gridCellStartIndices[particleGridIndices[index]] = index; + gridCellEndIndices[particleGridIndices[index-1]] = index-1; + } } __global__ void kernUpdateVelNeighborSearchScattered( @@ -358,10 +390,68 @@ __global__ void kernUpdateVelNeighborSearchScattered( // the number of boids that need to be checked. // - Identify the grid cell that this particle is in // - Identify which cells may contain neighbors. This isn't always 8. + int index = blockIdx.x * blockDim.x + threadIdx.x; + if (index > N) + return; + int iSelf = particleArrayIndices[index]; + glm::vec3 cell_idx = (pos[iSelf] - gridMin) * inverseCellWidth; + glm::ivec3 cell_idx_floor = glm::clamp(cell_idx-glm::vec3(0.5), glm::vec3(0), glm::vec3(gridResolution)); + + glm::vec3 my_pos = pos[iSelf]; + glm::vec3 perceived_center{ 0 }; + glm::vec3 c{ 0 }; + glm::vec3 perceived_velocity{ 0 }; + int rule1_neighbor_count = 0; + int rule3_neighbor_count = 0; + for (int x = cell_idx_floor.x; x < cell_idx_floor.x+2; x++) + { + for (int y = cell_idx_floor.y; y < cell_idx_floor.y+2; y++) + { + for (int z = cell_idx_floor.z; z < cell_idx_floor.z+2; z++) + { // - For each cell, read the start/end indices in the boid pointer array. - // - Access each boid in the cell and compute velocity change from + int curr_grid_index = gridIndex3Dto1D(x, y, z, gridResolution); + int start_index = gridCellStartIndices[curr_grid_index]; + if(start_index == -1) continue; + int end_index = gridCellEndIndices[curr_grid_index]; + for (int i = start_index; i <= end_index; i++) + { + const int curr_real_id = particleArrayIndices[i]; + const glm::vec3 boid_pos = pos[curr_real_id]; + if (curr_real_id == iSelf) continue; + float dist = glm::distance(boid_pos, my_pos); + // - Access each boid in the cell and compute velocity change from // the boids rules, if this boid is within the neighborhood distance. + if (dist < rule1Distance) { + rule1_neighbor_count++; + perceived_center += boid_pos; + } + if (dist < rule2Distance) + c -= (boid_pos - my_pos); + if (dist < rule3Distance) { + rule3_neighbor_count++; + perceived_velocity += vel1[curr_real_id]; + } + } + } + } + } + glm::vec3 res = glm::vec3(0); + if (rule1_neighbor_count > 0) { + perceived_center /= rule1_neighbor_count; + res += (perceived_center - my_pos) * rule1Scale; + } + res += c * rule2Scale; + if (rule3_neighbor_count > 0) { + perceived_velocity /= rule3_neighbor_count; + res += perceived_velocity * rule3Scale; + } + glm::vec3 new_vel = vel1[iSelf] + res; // - Clamp the speed change before putting the new speed in vel2 + if (glm::length(new_vel) > maxSpeed) { + new_vel = glm::normalize(new_vel) * maxSpeed; + } + vel2[iSelf] = new_vel; } __global__ void kernUpdateVelNeighborSearchCoherent( @@ -398,16 +488,27 @@ void Boids::stepSimulationNaive(float dt) { void Boids::stepSimulationScatteredGrid(float dt) { // TODO-2.1 // Uniform Grid Neighbor search using Thrust sort. + dim3 fullBlocksPerGrid((numObjects + blockSize - 1) / blockSize); // In Parallel: // - label each particle with its array index as well as its grid index. + kernComputeIndices << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, dev_pos, dev_particleArrayIndices, dev_particleGridIndices); // Use 2x width grids. // - Unstable key sort using Thrust. A stable sort isn't necessary, but you // are welcome to do a performance comparison. + dev_thrust_particleGridIndices=thrust::device_ptr(dev_particleGridIndices); + dev_thrust_particleArrayIndices=thrust::device_ptr(dev_particleArrayIndices); + thrust::sort_by_key(dev_thrust_particleGridIndices, dev_thrust_particleGridIndices + numObjects, dev_thrust_particleArrayIndices); // - Naively unroll the loop for finding the start and end indices of each // cell's data pointers in the array of boid indices + kernResetIntBuffer<<>>(numObjects, dev_gridCellStartIndices, -1); + kernResetIntBuffer<<>>(numObjects, dev_gridCellEndIndices, -1); + kernIdentifyCellStartEnd << > > (numObjects, dev_particleGridIndices, dev_gridCellStartIndices, dev_gridCellEndIndices); // - Perform velocity updates using neighbor search + kernUpdateVelNeighborSearchScattered << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, gridCellWidth, dev_gridCellStartIndices, dev_gridCellEndIndices, dev_particleArrayIndices, dev_pos, dev_vel1, dev_vel2); // - Update positions + kernUpdatePos << > > (numObjects, dt, dev_pos, dev_vel2); // - Ping-pong buffers as needed + std::swap(dev_vel1, dev_vel2); } void Boids::stepSimulationCoherentGrid(float dt) { @@ -433,7 +534,11 @@ void Boids::endSimulation() { cudaFree(dev_vel2); cudaFree(dev_pos); - // TODO-2.1 TODO-2.3 - Free any additional buffers here. + // DONE-2.1 TODO-2.3 - Free any additional buffers here. + cudaFree(dev_particleArrayIndices); + cudaFree(dev_particleGridIndices); + cudaFree(dev_gridCellStartIndices); + cudaFree(dev_gridCellEndIndices); } void Boids::unitTest() { diff --git a/src/main.cpp b/src/main.cpp index b82c8c6..9ede42f 100644 --- a/src/main.cpp +++ b/src/main.cpp @@ -14,11 +14,11 @@ // LOOK-2.1 LOOK-2.3 - toggles for UNIFORM_GRID and COHERENT_GRID #define VISUALIZE 1 -#define UNIFORM_GRID 0 +#define UNIFORM_GRID 1 #define COHERENT_GRID 0 // LOOK-1.2 - change this to adjust particle count in the simulation -const int N_FOR_VIS = 5000; +const int N_FOR_VIS = 500000; const float DT = 0.2f; /** From 617f1660a03384969dfdc48f5c0fd6c8d2882790 Mon Sep 17 00:00:00 2001 From: GrahamZen <931252924@qq.com> Date: Sat, 9 Sep 2023 21:38:48 -0400 Subject: [PATCH 3/7] partially finish 2.3 --- src/kernel.cu | 100 ++++++++++++++++++++++++++++++++++++++++++++++---- 1 file changed, 92 insertions(+), 8 deletions(-) diff --git a/src/kernel.cu b/src/kernel.cu index 547e462..d18215c 100644 --- a/src/kernel.cu +++ b/src/kernel.cu @@ -67,6 +67,7 @@ dim3 threadsPerBlock(blockSize); // boid cares about its neighbors' velocities. // These are called ping-pong buffers. glm::vec3* dev_pos; +glm::vec3* dev_pos1; glm::vec3* dev_vel1; glm::vec3* dev_vel2; @@ -133,6 +134,14 @@ __global__ void kernGenerateRandomPosArray(int time, int N, glm::vec3* arr, floa } } +__global__ void kernRearrangeArray(int N, glm::vec3* src, glm::vec3* dest, glm::vec3* src2, glm::vec3* dest2, int* indices) { + int index = (blockIdx.x * blockDim.x) + threadIdx.x; + if (index < N) { + dest[index] = src[indices[index]]; + dest2[index] = src2[indices[index]]; + } +} + /** * Initialize memory, update some globals */ @@ -169,6 +178,9 @@ void Boids::initSimulation(int N) { gridMinimum.z -= halfGridWidth; // DONE-2.1 TODO-2.3 - Allocate additional buffers here. + cudaMalloc((void**)&dev_pos1, N * sizeof(glm::vec3)); + checkCUDAErrorWithLine("cudaMalloc dev_pos1 failed!"); + cudaMalloc((void**)&dev_particleArrayIndices, N * sizeof(int)); checkCUDAErrorWithLine("cudaMalloc dev_particleArrayIndices failed!"); @@ -280,7 +292,7 @@ __device__ glm::vec3 computeVelocityChange(int N, int iSelf, const glm::vec3* po } /** -* TODO-1.2 implement basic flocking +* DONE-1.2 implement basic flocking * For each of the `N` bodies, update its position based on its current velocity. */ __global__ void kernUpdateVelocityBruteForce(int N, glm::vec3* pos, @@ -337,7 +349,7 @@ __global__ void kernComputeIndices(int N, int gridResolution, glm::vec3 gridMin, float inverseCellWidth, glm::vec3* pos, int* indices, int* gridIndices) { int index = blockIdx.x * blockDim.x + threadIdx.x; - // TODO-2.1 + // DONE-2.1 // - Label each boid with the index of its grid cell. glm::vec3 curr_pos = pos[index] - gridMin; int x = (int)(curr_pos.x * inverseCellWidth); @@ -360,7 +372,7 @@ __global__ void kernResetIntBuffer(int N, int* intBuffer, int value) { __global__ void kernIdentifyCellStartEnd(int N, int* particleGridIndices, int* gridCellStartIndices, int* gridCellEndIndices) { - // TODO-2.1 + // DONE-2.1 // Identify the start point of each cell in the gridIndices array. // This is basically a parallel unrolling of a loop that goes // "this index doesn't match the one before it, must be a new cell!" @@ -386,7 +398,7 @@ __global__ void kernUpdateVelNeighborSearchScattered( int* gridCellStartIndices, int* gridCellEndIndices, int* particleArrayIndices, glm::vec3* pos, glm::vec3* vel1, glm::vec3* vel2) { - // TODO-2.1 - Update a boid's velocity using the uniform grid to reduce + // DONE-2.1 - Update a boid's velocity using the uniform grid to reduce // the number of boids that need to be checked. // - Identify the grid cell that this particle is in // - Identify which cells may contain neighbors. This isn't always 8. @@ -459,7 +471,7 @@ __global__ void kernUpdateVelNeighborSearchCoherent( float inverseCellWidth, float cellWidth, int* gridCellStartIndices, int* gridCellEndIndices, glm::vec3* pos, glm::vec3* vel1, glm::vec3* vel2) { - // TODO-2.3 - This should be very similar to kernUpdateVelNeighborSearchScattered, + // DONE-2.3 - This should be very similar to kernUpdateVelNeighborSearchScattered, // except with one less level of indirection. // This should expect gridCellStartIndices and gridCellEndIndices to refer // directly to pos and vel1. @@ -471,22 +483,80 @@ __global__ void kernUpdateVelNeighborSearchCoherent( // - Access each boid in the cell and compute velocity change from // the boids rules, if this boid is within the neighborhood distance. // - Clamp the speed change before putting the new speed in vel2 + int index = blockIdx.x * blockDim.x + threadIdx.x; + if (index > N) + return; + int iSelf = index; + glm::vec3 cell_idx = (pos[iSelf] - gridMin) * inverseCellWidth; + glm::ivec3 cell_idx_floor = glm::clamp(cell_idx-glm::vec3(0.5), glm::vec3(0), glm::vec3(gridResolution)); + + glm::vec3 my_pos = pos[iSelf]; + glm::vec3 perceived_center{ 0 }; + glm::vec3 c{ 0 }; + glm::vec3 perceived_velocity{ 0 }; + int rule1_neighbor_count = 0; + int rule3_neighbor_count = 0; + for (int x = cell_idx_floor.x; x < cell_idx_floor.x+2; x++) + { + for (int y = cell_idx_floor.y; y < cell_idx_floor.y+2; y++) + { + for (int z = cell_idx_floor.z; z < cell_idx_floor.z+2; z++) + { + int curr_grid_index = gridIndex3Dto1D(x, y, z, gridResolution); + int start_index = gridCellStartIndices[curr_grid_index]; + if(start_index == -1) continue; + int end_index = gridCellEndIndices[curr_grid_index]; + for (int i = start_index; i <= end_index; i++) + { + const int curr_real_id = i; + const glm::vec3 boid_pos = pos[curr_real_id]; + if (curr_real_id == iSelf) continue; + float dist = glm::distance(boid_pos, my_pos); + if (dist < rule1Distance) { + rule1_neighbor_count++; + perceived_center += boid_pos; + } + if (dist < rule2Distance) + c -= (boid_pos - my_pos); + if (dist < rule3Distance) { + rule3_neighbor_count++; + perceived_velocity += vel1[curr_real_id]; + } + } + } + } + } + glm::vec3 res = glm::vec3(0); + if (rule1_neighbor_count > 0) { + perceived_center /= rule1_neighbor_count; + res += (perceived_center - my_pos) * rule1Scale; + } + res += c * rule2Scale; + if (rule3_neighbor_count > 0) { + perceived_velocity /= rule3_neighbor_count; + res += perceived_velocity * rule3Scale; + } + glm::vec3 new_vel = vel1[iSelf] + res; + if (glm::length(new_vel) > maxSpeed) { + new_vel = glm::normalize(new_vel) * maxSpeed; + } + vel2[iSelf] = new_vel; } /** * Step the entire N-body simulation by `dt` seconds. */ void Boids::stepSimulationNaive(float dt) { - // TODO-1.2 - use the kernels you wrote to step the simulation forward in time. + // DONE-1.2 - use the kernels you wrote to step the simulation forward in time. dim3 fullBlocksPerGrid((numObjects + blockSize - 1) / blockSize); kernUpdateVelocityBruteForce << > > (numObjects, dev_pos, dev_vel1, dev_vel2); kernUpdatePos << > > (numObjects, dt, dev_pos, dev_vel2); - // TODO-1.2 ping-pong the velocity buffers + // DONE-1.2 ping-pong the velocity buffers std::swap(dev_vel1, dev_vel2); } void Boids::stepSimulationScatteredGrid(float dt) { - // TODO-2.1 + // DONE-2.1 // Uniform Grid Neighbor search using Thrust sort. dim3 fullBlocksPerGrid((numObjects + blockSize - 1) / blockSize); // In Parallel: @@ -527,6 +597,19 @@ void Boids::stepSimulationCoherentGrid(float dt) { // - Perform velocity updates using neighbor search // - Update positions // - Ping-pong buffers as needed. THIS MAY BE DIFFERENT FROM BEFORE. + dim3 fullBlocksPerGrid((numObjects + blockSize - 1) / blockSize); + kernComputeIndices << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, dev_pos, dev_particleArrayIndices, dev_particleGridIndices); + dev_thrust_particleGridIndices=thrust::device_ptr(dev_particleGridIndices); + dev_thrust_particleArrayIndices=thrust::device_ptr(dev_particleArrayIndices); + thrust::sort_by_key(dev_thrust_particleGridIndices, dev_thrust_particleGridIndices + numObjects, dev_thrust_particleArrayIndices); + kernResetIntBuffer<<>>(numObjects, dev_gridCellStartIndices, -1); + kernResetIntBuffer<<>>(numObjects, dev_gridCellEndIndices, -1); + kernIdentifyCellStartEnd << > > (numObjects, dev_particleGridIndices, dev_gridCellStartIndices, dev_gridCellEndIndices); + kernRearrangeArray<<>>(numObjects, dev_pos, dev_pos1, dev_vel1, dev_vel2, dev_particleArrayIndices); + + kernUpdateVelNeighborSearchCoherent << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, gridCellWidth, dev_gridCellStartIndices, dev_gridCellEndIndices, dev_pos, dev_vel2, dev_vel1); + kernUpdatePos << > > (numObjects, dt, dev_pos1, dev_vel1); + std::swap(dev_pos, dev_pos1); } void Boids::endSimulation() { @@ -535,6 +618,7 @@ void Boids::endSimulation() { cudaFree(dev_pos); // DONE-2.1 TODO-2.3 - Free any additional buffers here. + cudaFree(dev_pos1); cudaFree(dev_particleArrayIndices); cudaFree(dev_particleGridIndices); cudaFree(dev_gridCellStartIndices); From b711b6ca7f9f51369b5587239a013fa5f058272e Mon Sep 17 00:00:00 2001 From: GrahamZen <931252924@qq.com> Date: Sat, 9 Sep 2023 21:50:40 -0400 Subject: [PATCH 4/7] Finish 2.3 --- src/kernel.cu | 286 +++++++++++++++++++++++++------------------------- src/main.cpp | 4 +- 2 files changed, 145 insertions(+), 145 deletions(-) diff --git a/src/kernel.cu b/src/kernel.cu index d18215c..8194179 100644 --- a/src/kernel.cu +++ b/src/kernel.cu @@ -135,11 +135,11 @@ __global__ void kernGenerateRandomPosArray(int time, int N, glm::vec3* arr, floa } __global__ void kernRearrangeArray(int N, glm::vec3* src, glm::vec3* dest, glm::vec3* src2, glm::vec3* dest2, int* indices) { - int index = (blockIdx.x * blockDim.x) + threadIdx.x; - if (index < N) { - dest[index] = src[indices[index]]; - dest2[index] = src2[indices[index]]; - } + int index = (blockIdx.x * blockDim.x) + threadIdx.x; + if (index < N) { + dest[index] = src[indices[index]]; + dest2[index] = src2[indices[index]]; + } } /** @@ -178,20 +178,20 @@ void Boids::initSimulation(int N) { gridMinimum.z -= halfGridWidth; // DONE-2.1 TODO-2.3 - Allocate additional buffers here. - cudaMalloc((void**)&dev_pos1, N * sizeof(glm::vec3)); - checkCUDAErrorWithLine("cudaMalloc dev_pos1 failed!"); - - cudaMalloc((void**)&dev_particleArrayIndices, N * sizeof(int)); - checkCUDAErrorWithLine("cudaMalloc dev_particleArrayIndices failed!"); + cudaMalloc((void**)&dev_pos1, N * sizeof(glm::vec3)); + checkCUDAErrorWithLine("cudaMalloc dev_pos1 failed!"); + + cudaMalloc((void**)&dev_particleArrayIndices, N * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_particleArrayIndices failed!"); - cudaMalloc((void**)&dev_particleGridIndices, N * sizeof(int)); - checkCUDAErrorWithLine("cudaMalloc dev_particleGridIndices failed!"); + cudaMalloc((void**)&dev_particleGridIndices, N * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_particleGridIndices failed!"); - cudaMalloc((void**)&dev_gridCellStartIndices, N * sizeof(int)); - checkCUDAErrorWithLine("cudaMalloc dev_gridCellStartIndices failed!"); + cudaMalloc((void**)&dev_gridCellStartIndices, N * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_gridCellStartIndices failed!"); - cudaMalloc((void**)&dev_gridCellEndIndices, N * sizeof(int)); - checkCUDAErrorWithLine("cudaMalloc dev_gridCellEndIndices failed!"); + cudaMalloc((void**)&dev_gridCellEndIndices, N * sizeof(int)); + checkCUDAErrorWithLine("cudaMalloc dev_gridCellEndIndices failed!"); cudaDeviceSynchronize(); } @@ -348,17 +348,17 @@ __device__ int gridIndex3Dto1D(int x, int y, int z, int gridResolution) { __global__ void kernComputeIndices(int N, int gridResolution, glm::vec3 gridMin, float inverseCellWidth, glm::vec3* pos, int* indices, int* gridIndices) { - int index = blockIdx.x * blockDim.x + threadIdx.x; + int index = blockIdx.x * blockDim.x + threadIdx.x; // DONE-2.1 // - Label each boid with the index of its grid cell. - glm::vec3 curr_pos = pos[index] - gridMin; - int x = (int)(curr_pos.x * inverseCellWidth); - int y = (int)(curr_pos.y * inverseCellWidth); - int z = (int)(curr_pos.z * inverseCellWidth); - gridIndices[index] = gridIndex3Dto1D(x, y, z, gridResolution); + glm::vec3 curr_pos = pos[index] - gridMin; + int x = (int)(curr_pos.x * inverseCellWidth); + int y = (int)(curr_pos.y * inverseCellWidth); + int z = (int)(curr_pos.z * inverseCellWidth); + gridIndices[index] = gridIndex3Dto1D(x, y, z, gridResolution); // - Set up a parallel array of integer indices as pointers to the actual // boid data in pos and vel1/vel2 - indices[index] = index; + indices[index] = index; } // LOOK-2.1 Consider how this could be useful for indicating that a cell @@ -376,20 +376,20 @@ __global__ void kernIdentifyCellStartEnd(int N, int* particleGridIndices, // Identify the start point of each cell in the gridIndices array. // This is basically a parallel unrolling of a loop that goes // "this index doesn't match the one before it, must be a new cell!" - int index = blockIdx.x * blockDim.x + threadIdx.x; - if (index >= N) return; - if (index == 0) { - gridCellStartIndices[particleGridIndices[index]] = index; - return; - } - if (index == N-1) { - gridCellEndIndices[particleGridIndices[index]] = index; - return; - } - if (particleGridIndices[index] != particleGridIndices[index-1]) { - gridCellStartIndices[particleGridIndices[index]] = index; - gridCellEndIndices[particleGridIndices[index-1]] = index-1; - } + int index = blockIdx.x * blockDim.x + threadIdx.x; + if (index >= N) return; + if (index == 0) { + gridCellStartIndices[particleGridIndices[index]] = index; + return; + } + if (index == N - 1) { + gridCellEndIndices[particleGridIndices[index]] = index; + return; + } + if (particleGridIndices[index] != particleGridIndices[index - 1]) { + gridCellStartIndices[particleGridIndices[index]] = index; + gridCellEndIndices[particleGridIndices[index - 1]] = index - 1; + } } __global__ void kernUpdateVelNeighborSearchScattered( @@ -406,48 +406,48 @@ __global__ void kernUpdateVelNeighborSearchScattered( if (index > N) return; int iSelf = particleArrayIndices[index]; - glm::vec3 cell_idx = (pos[iSelf] - gridMin) * inverseCellWidth; - glm::ivec3 cell_idx_floor = glm::clamp(cell_idx-glm::vec3(0.5), glm::vec3(0), glm::vec3(gridResolution)); + glm::vec3 cell_idx = (pos[iSelf] - gridMin) * inverseCellWidth; + glm::ivec3 cell_idx_floor = glm::clamp(cell_idx - glm::vec3(0.5), glm::vec3(0), glm::vec3(gridResolution)); - glm::vec3 my_pos = pos[iSelf]; + glm::vec3 my_pos = pos[iSelf]; glm::vec3 perceived_center{ 0 }; glm::vec3 c{ 0 }; glm::vec3 perceived_velocity{ 0 }; int rule1_neighbor_count = 0; int rule3_neighbor_count = 0; - for (int x = cell_idx_floor.x; x < cell_idx_floor.x+2; x++) - { - for (int y = cell_idx_floor.y; y < cell_idx_floor.y+2; y++) - { - for (int z = cell_idx_floor.z; z < cell_idx_floor.z+2; z++) - { - // - For each cell, read the start/end indices in the boid pointer array. - int curr_grid_index = gridIndex3Dto1D(x, y, z, gridResolution); - int start_index = gridCellStartIndices[curr_grid_index]; - if(start_index == -1) continue; - int end_index = gridCellEndIndices[curr_grid_index]; - for (int i = start_index; i <= end_index; i++) - { + for (int x = cell_idx_floor.x; x < cell_idx_floor.x + 2; x++) + { + for (int y = cell_idx_floor.y; y < cell_idx_floor.y + 2; y++) + { + for (int z = cell_idx_floor.z; z < cell_idx_floor.z + 2; z++) + { + // - For each cell, read the start/end indices in the boid pointer array. + int curr_grid_index = gridIndex3Dto1D(x, y, z, gridResolution); + int start_index = gridCellStartIndices[curr_grid_index]; + if (start_index == -1) continue; + int end_index = gridCellEndIndices[curr_grid_index]; + for (int i = start_index; i <= end_index; i++) + { const int curr_real_id = particleArrayIndices[i]; - const glm::vec3 boid_pos = pos[curr_real_id]; - if (curr_real_id == iSelf) continue; - float dist = glm::distance(boid_pos, my_pos); - // - Access each boid in the cell and compute velocity change from - // the boids rules, if this boid is within the neighborhood distance. - if (dist < rule1Distance) { - rule1_neighbor_count++; - perceived_center += boid_pos; - } - if (dist < rule2Distance) - c -= (boid_pos - my_pos); - if (dist < rule3Distance) { - rule3_neighbor_count++; - perceived_velocity += vel1[curr_real_id]; - } - } - } - } - } + const glm::vec3 boid_pos = pos[curr_real_id]; + if (curr_real_id == iSelf) continue; + float dist = glm::distance(boid_pos, my_pos); + // - Access each boid in the cell and compute velocity change from + // the boids rules, if this boid is within the neighborhood distance. + if (dist < rule1Distance) { + rule1_neighbor_count++; + perceived_center += boid_pos; + } + if (dist < rule2Distance) + c -= (boid_pos - my_pos); + if (dist < rule3Distance) { + rule3_neighbor_count++; + perceived_velocity += vel1[curr_real_id]; + } + } + } + } + } glm::vec3 res = glm::vec3(0); if (rule1_neighbor_count > 0) { perceived_center /= rule1_neighbor_count; @@ -458,12 +458,12 @@ __global__ void kernUpdateVelNeighborSearchScattered( perceived_velocity /= rule3_neighbor_count; res += perceived_velocity * rule3Scale; } - glm::vec3 new_vel = vel1[iSelf] + res; + glm::vec3 new_vel = vel1[iSelf] + res; // - Clamp the speed change before putting the new speed in vel2 - if (glm::length(new_vel) > maxSpeed) { - new_vel = glm::normalize(new_vel) * maxSpeed; - } - vel2[iSelf] = new_vel; + if (glm::length(new_vel) > maxSpeed) { + new_vel = glm::normalize(new_vel) * maxSpeed; + } + vel2[iSelf] = new_vel; } __global__ void kernUpdateVelNeighborSearchCoherent( @@ -483,49 +483,49 @@ __global__ void kernUpdateVelNeighborSearchCoherent( // - Access each boid in the cell and compute velocity change from // the boids rules, if this boid is within the neighborhood distance. // - Clamp the speed change before putting the new speed in vel2 - int index = blockIdx.x * blockDim.x + threadIdx.x; + int index = blockIdx.x * blockDim.x + threadIdx.x; if (index > N) return; int iSelf = index; - glm::vec3 cell_idx = (pos[iSelf] - gridMin) * inverseCellWidth; - glm::ivec3 cell_idx_floor = glm::clamp(cell_idx-glm::vec3(0.5), glm::vec3(0), glm::vec3(gridResolution)); + glm::vec3 cell_idx = (pos[iSelf] - gridMin) * inverseCellWidth; + glm::ivec3 cell_idx_floor = glm::clamp(cell_idx - glm::vec3(0.5), glm::vec3(0), glm::vec3(gridResolution)); - glm::vec3 my_pos = pos[iSelf]; + glm::vec3 my_pos = pos[iSelf]; glm::vec3 perceived_center{ 0 }; glm::vec3 c{ 0 }; glm::vec3 perceived_velocity{ 0 }; int rule1_neighbor_count = 0; int rule3_neighbor_count = 0; - for (int x = cell_idx_floor.x; x < cell_idx_floor.x+2; x++) - { - for (int y = cell_idx_floor.y; y < cell_idx_floor.y+2; y++) - { - for (int z = cell_idx_floor.z; z < cell_idx_floor.z+2; z++) - { - int curr_grid_index = gridIndex3Dto1D(x, y, z, gridResolution); - int start_index = gridCellStartIndices[curr_grid_index]; - if(start_index == -1) continue; - int end_index = gridCellEndIndices[curr_grid_index]; - for (int i = start_index; i <= end_index; i++) - { + for (int x = cell_idx_floor.x; x < cell_idx_floor.x + 2; x++) + { + for (int y = cell_idx_floor.y; y < cell_idx_floor.y + 2; y++) + { + for (int z = cell_idx_floor.z; z < cell_idx_floor.z + 2; z++) + { + int curr_grid_index = gridIndex3Dto1D(x, y, z, gridResolution); + int start_index = gridCellStartIndices[curr_grid_index]; + if (start_index == -1) continue; + int end_index = gridCellEndIndices[curr_grid_index]; + for (int i = start_index; i <= end_index; i++) + { const int curr_real_id = i; - const glm::vec3 boid_pos = pos[curr_real_id]; - if (curr_real_id == iSelf) continue; - float dist = glm::distance(boid_pos, my_pos); - if (dist < rule1Distance) { - rule1_neighbor_count++; - perceived_center += boid_pos; - } - if (dist < rule2Distance) - c -= (boid_pos - my_pos); - if (dist < rule3Distance) { - rule3_neighbor_count++; - perceived_velocity += vel1[curr_real_id]; - } - } - } - } - } + const glm::vec3 boid_pos = pos[curr_real_id]; + if (curr_real_id == iSelf) continue; + float dist = glm::distance(boid_pos, my_pos); + if (dist < rule1Distance) { + rule1_neighbor_count++; + perceived_center += boid_pos; + } + if (dist < rule2Distance) + c -= (boid_pos - my_pos); + if (dist < rule3Distance) { + rule3_neighbor_count++; + perceived_velocity += vel1[curr_real_id]; + } + } + } + } + } glm::vec3 res = glm::vec3(0); if (rule1_neighbor_count > 0) { perceived_center /= rule1_neighbor_count; @@ -536,11 +536,11 @@ __global__ void kernUpdateVelNeighborSearchCoherent( perceived_velocity /= rule3_neighbor_count; res += perceived_velocity * rule3Scale; } - glm::vec3 new_vel = vel1[iSelf] + res; - if (glm::length(new_vel) > maxSpeed) { - new_vel = glm::normalize(new_vel) * maxSpeed; - } - vel2[iSelf] = new_vel; + glm::vec3 new_vel = vel1[iSelf] + res; + if (glm::length(new_vel) > maxSpeed) { + new_vel = glm::normalize(new_vel) * maxSpeed; + } + vel2[iSelf] = new_vel; } /** @@ -561,24 +561,24 @@ void Boids::stepSimulationScatteredGrid(float dt) { dim3 fullBlocksPerGrid((numObjects + blockSize - 1) / blockSize); // In Parallel: // - label each particle with its array index as well as its grid index. - kernComputeIndices << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, dev_pos, dev_particleArrayIndices, dev_particleGridIndices); + kernComputeIndices << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, dev_pos, dev_particleArrayIndices, dev_particleGridIndices); // Use 2x width grids. // - Unstable key sort using Thrust. A stable sort isn't necessary, but you // are welcome to do a performance comparison. - dev_thrust_particleGridIndices=thrust::device_ptr(dev_particleGridIndices); - dev_thrust_particleArrayIndices=thrust::device_ptr(dev_particleArrayIndices); - thrust::sort_by_key(dev_thrust_particleGridIndices, dev_thrust_particleGridIndices + numObjects, dev_thrust_particleArrayIndices); + dev_thrust_particleGridIndices = thrust::device_ptr(dev_particleGridIndices); + dev_thrust_particleArrayIndices = thrust::device_ptr(dev_particleArrayIndices); + thrust::sort_by_key(dev_thrust_particleGridIndices, dev_thrust_particleGridIndices + numObjects, dev_thrust_particleArrayIndices); // - Naively unroll the loop for finding the start and end indices of each // cell's data pointers in the array of boid indices - kernResetIntBuffer<<>>(numObjects, dev_gridCellStartIndices, -1); - kernResetIntBuffer<<>>(numObjects, dev_gridCellEndIndices, -1); - kernIdentifyCellStartEnd << > > (numObjects, dev_particleGridIndices, dev_gridCellStartIndices, dev_gridCellEndIndices); + kernResetIntBuffer << > > (numObjects, dev_gridCellStartIndices, -1); + kernResetIntBuffer << > > (numObjects, dev_gridCellEndIndices, -1); + kernIdentifyCellStartEnd << > > (numObjects, dev_particleGridIndices, dev_gridCellStartIndices, dev_gridCellEndIndices); // - Perform velocity updates using neighbor search - kernUpdateVelNeighborSearchScattered << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, gridCellWidth, dev_gridCellStartIndices, dev_gridCellEndIndices, dev_particleArrayIndices, dev_pos, dev_vel1, dev_vel2); + kernUpdateVelNeighborSearchScattered << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, gridCellWidth, dev_gridCellStartIndices, dev_gridCellEndIndices, dev_particleArrayIndices, dev_pos, dev_vel1, dev_vel2); // - Update positions - kernUpdatePos << > > (numObjects, dt, dev_pos, dev_vel2); + kernUpdatePos << > > (numObjects, dt, dev_pos, dev_vel2); // - Ping-pong buffers as needed - std::swap(dev_vel1, dev_vel2); + std::swap(dev_vel1, dev_vel2); } void Boids::stepSimulationCoherentGrid(float dt) { @@ -597,19 +597,19 @@ void Boids::stepSimulationCoherentGrid(float dt) { // - Perform velocity updates using neighbor search // - Update positions // - Ping-pong buffers as needed. THIS MAY BE DIFFERENT FROM BEFORE. - dim3 fullBlocksPerGrid((numObjects + blockSize - 1) / blockSize); - kernComputeIndices << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, dev_pos, dev_particleArrayIndices, dev_particleGridIndices); - dev_thrust_particleGridIndices=thrust::device_ptr(dev_particleGridIndices); - dev_thrust_particleArrayIndices=thrust::device_ptr(dev_particleArrayIndices); - thrust::sort_by_key(dev_thrust_particleGridIndices, dev_thrust_particleGridIndices + numObjects, dev_thrust_particleArrayIndices); - kernResetIntBuffer<<>>(numObjects, dev_gridCellStartIndices, -1); - kernResetIntBuffer<<>>(numObjects, dev_gridCellEndIndices, -1); - kernIdentifyCellStartEnd << > > (numObjects, dev_particleGridIndices, dev_gridCellStartIndices, dev_gridCellEndIndices); - kernRearrangeArray<<>>(numObjects, dev_pos, dev_pos1, dev_vel1, dev_vel2, dev_particleArrayIndices); - - kernUpdateVelNeighborSearchCoherent << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, gridCellWidth, dev_gridCellStartIndices, dev_gridCellEndIndices, dev_pos, dev_vel2, dev_vel1); - kernUpdatePos << > > (numObjects, dt, dev_pos1, dev_vel1); - std::swap(dev_pos, dev_pos1); + dim3 fullBlocksPerGrid((numObjects + blockSize - 1) / blockSize); + kernComputeIndices << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, dev_pos, dev_particleArrayIndices, dev_particleGridIndices); + dev_thrust_particleGridIndices = thrust::device_ptr(dev_particleGridIndices); + dev_thrust_particleArrayIndices = thrust::device_ptr(dev_particleArrayIndices); + thrust::sort_by_key(dev_thrust_particleGridIndices, dev_thrust_particleGridIndices + numObjects, dev_thrust_particleArrayIndices); + kernResetIntBuffer << > > (numObjects, dev_gridCellStartIndices, -1); + kernResetIntBuffer << > > (numObjects, dev_gridCellEndIndices, -1); + kernIdentifyCellStartEnd << > > (numObjects, dev_particleGridIndices, dev_gridCellStartIndices, dev_gridCellEndIndices); + kernRearrangeArray << > > (numObjects, dev_pos, dev_pos1, dev_vel1, dev_vel2, dev_particleArrayIndices); + + kernUpdateVelNeighborSearchCoherent << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, gridCellWidth, dev_gridCellStartIndices, dev_gridCellEndIndices, dev_pos1, dev_vel2, dev_vel1); + kernUpdatePos << > > (numObjects, dt, dev_pos1, dev_vel1); + std::swap(dev_pos, dev_pos1); } void Boids::endSimulation() { @@ -618,11 +618,11 @@ void Boids::endSimulation() { cudaFree(dev_pos); // DONE-2.1 TODO-2.3 - Free any additional buffers here. - cudaFree(dev_pos1); - cudaFree(dev_particleArrayIndices); - cudaFree(dev_particleGridIndices); - cudaFree(dev_gridCellStartIndices); - cudaFree(dev_gridCellEndIndices); + cudaFree(dev_pos1); + cudaFree(dev_particleArrayIndices); + cudaFree(dev_particleGridIndices); + cudaFree(dev_gridCellStartIndices); + cudaFree(dev_gridCellEndIndices); } void Boids::unitTest() { diff --git a/src/main.cpp b/src/main.cpp index 9ede42f..00c3982 100644 --- a/src/main.cpp +++ b/src/main.cpp @@ -15,10 +15,10 @@ // LOOK-2.1 LOOK-2.3 - toggles for UNIFORM_GRID and COHERENT_GRID #define VISUALIZE 1 #define UNIFORM_GRID 1 -#define COHERENT_GRID 0 +#define COHERENT_GRID 1 // LOOK-1.2 - change this to adjust particle count in the simulation -const int N_FOR_VIS = 500000; +const int N_FOR_VIS = 1000000; const float DT = 0.2f; /** From 6ca4f2ebc065932611511c1c13f0688702d9b5a6 Mon Sep 17 00:00:00 2001 From: GrahamZen <931252924@qq.com> Date: Sun, 10 Sep 2023 14:54:16 -0400 Subject: [PATCH 5/7] Optimize CUDA code --- src/kernel.cu | 87 ++++++++++++++++++++++++++------------------------- 1 file changed, 44 insertions(+), 43 deletions(-) diff --git a/src/kernel.cu b/src/kernel.cu index 8194179..3a9c8b6 100644 --- a/src/kernel.cu +++ b/src/kernel.cu @@ -403,44 +403,43 @@ __global__ void kernUpdateVelNeighborSearchScattered( // - Identify the grid cell that this particle is in // - Identify which cells may contain neighbors. This isn't always 8. int index = blockIdx.x * blockDim.x + threadIdx.x; - if (index > N) + if (index >= N) return; int iSelf = particleArrayIndices[index]; - glm::vec3 cell_idx = (pos[iSelf] - gridMin) * inverseCellWidth; - glm::ivec3 cell_idx_floor = glm::clamp(cell_idx - glm::vec3(0.5), glm::vec3(0), glm::vec3(gridResolution)); + const glm::vec3 cell_idx = (pos[iSelf] - gridMin) * inverseCellWidth; + const glm::ivec3 cell_idx_begin = glm::clamp(cell_idx - glm::vec3(0.5), glm::vec3(0), glm::vec3(gridResolution)); + const glm::ivec3 cell_idx_end = cell_idx_begin + glm::ivec3(2); - glm::vec3 my_pos = pos[iSelf]; + const glm::vec3 my_pos = pos[iSelf]; glm::vec3 perceived_center{ 0 }; glm::vec3 c{ 0 }; glm::vec3 perceived_velocity{ 0 }; int rule1_neighbor_count = 0; int rule3_neighbor_count = 0; - for (int x = cell_idx_floor.x; x < cell_idx_floor.x + 2; x++) + for (int x = cell_idx_begin.x; x < cell_idx_end.x; x++) { - for (int y = cell_idx_floor.y; y < cell_idx_floor.y + 2; y++) + for (int y = cell_idx_begin.y; y < cell_idx_end.y; y++) { - for (int z = cell_idx_floor.z; z < cell_idx_floor.z + 2; z++) + for (int z = cell_idx_begin.z; z < cell_idx_end.z; z++) { - // - For each cell, read the start/end indices in the boid pointer array. - int curr_grid_index = gridIndex3Dto1D(x, y, z, gridResolution); - int start_index = gridCellStartIndices[curr_grid_index]; + const int curr_grid_index = gridIndex3Dto1D(x, y, z, gridResolution); + const int start_index = gridCellStartIndices[curr_grid_index]; if (start_index == -1) continue; - int end_index = gridCellEndIndices[curr_grid_index]; + const int end_index = gridCellEndIndices[curr_grid_index]; for (int i = start_index; i <= end_index; i++) { const int curr_real_id = particleArrayIndices[i]; - const glm::vec3 boid_pos = pos[curr_real_id]; if (curr_real_id == iSelf) continue; - float dist = glm::distance(boid_pos, my_pos); - // - Access each boid in the cell and compute velocity change from - // the boids rules, if this boid is within the neighborhood distance. - if (dist < rule1Distance) { + const glm::vec3 boid_pos = pos[curr_real_id]; + const glm::vec3 vec_boid = boid_pos - my_pos; + float dist = glm::dot(vec_boid, vec_boid); + if (dist < rule1Distance * rule1Distance) { rule1_neighbor_count++; perceived_center += boid_pos; } - if (dist < rule2Distance) - c -= (boid_pos - my_pos); - if (dist < rule3Distance) { + if (dist < rule2Distance * rule2Distance) + c -= vec_boid; + if (dist < rule3Distance * rule3Distance) { rule3_neighbor_count++; perceived_velocity += vel1[curr_real_id]; } @@ -459,9 +458,9 @@ __global__ void kernUpdateVelNeighborSearchScattered( res += perceived_velocity * rule3Scale; } glm::vec3 new_vel = vel1[iSelf] + res; - // - Clamp the speed change before putting the new speed in vel2 - if (glm::length(new_vel) > maxSpeed) { - new_vel = glm::normalize(new_vel) * maxSpeed; + float speed2 = glm::dot(new_vel, new_vel); + if (speed2 > maxSpeed * maxSpeed) { + new_vel = new_vel * glm::inversesqrt(speed2) * maxSpeed; } vel2[iSelf] = new_vel; } @@ -484,43 +483,44 @@ __global__ void kernUpdateVelNeighborSearchCoherent( // the boids rules, if this boid is within the neighborhood distance. // - Clamp the speed change before putting the new speed in vel2 int index = blockIdx.x * blockDim.x + threadIdx.x; - if (index > N) + if (index >= N) return; int iSelf = index; - glm::vec3 cell_idx = (pos[iSelf] - gridMin) * inverseCellWidth; - glm::ivec3 cell_idx_floor = glm::clamp(cell_idx - glm::vec3(0.5), glm::vec3(0), glm::vec3(gridResolution)); + const glm::vec3 cell_idx = (pos[iSelf] - gridMin) * inverseCellWidth; + const glm::ivec3 cell_idx_begin = glm::clamp(cell_idx - glm::vec3(0.5), glm::vec3(0), glm::vec3(gridResolution)); + const glm::ivec3 cell_idx_end = cell_idx_begin + glm::ivec3(2); - glm::vec3 my_pos = pos[iSelf]; + const glm::vec3 my_pos = pos[iSelf]; glm::vec3 perceived_center{ 0 }; glm::vec3 c{ 0 }; glm::vec3 perceived_velocity{ 0 }; int rule1_neighbor_count = 0; int rule3_neighbor_count = 0; - for (int x = cell_idx_floor.x; x < cell_idx_floor.x + 2; x++) + for (int x = cell_idx_begin.x; x < cell_idx_end.x; x++) { - for (int y = cell_idx_floor.y; y < cell_idx_floor.y + 2; y++) + for (int y = cell_idx_begin.y; y < cell_idx_end.y; y++) { - for (int z = cell_idx_floor.z; z < cell_idx_floor.z + 2; z++) + for (int z = cell_idx_begin.z; z < cell_idx_end.z; z++) { - int curr_grid_index = gridIndex3Dto1D(x, y, z, gridResolution); - int start_index = gridCellStartIndices[curr_grid_index]; + const int curr_grid_index = gridIndex3Dto1D(x, y, z, gridResolution); + const int start_index = gridCellStartIndices[curr_grid_index]; if (start_index == -1) continue; - int end_index = gridCellEndIndices[curr_grid_index]; + const int end_index = gridCellEndIndices[curr_grid_index]; for (int i = start_index; i <= end_index; i++) { - const int curr_real_id = i; - const glm::vec3 boid_pos = pos[curr_real_id]; - if (curr_real_id == iSelf) continue; - float dist = glm::distance(boid_pos, my_pos); - if (dist < rule1Distance) { + if (i == iSelf) continue; + const glm::vec3 boid_pos = pos[i]; + const glm::vec3 vec_boid = boid_pos - my_pos; + float dist = glm::dot(vec_boid, vec_boid); + if (dist < rule1Distance * rule1Distance) { rule1_neighbor_count++; perceived_center += boid_pos; } - if (dist < rule2Distance) - c -= (boid_pos - my_pos); - if (dist < rule3Distance) { + if (dist < rule2Distance * rule2Distance) + c -= vec_boid; + if (dist < rule3Distance * rule3Distance) { rule3_neighbor_count++; - perceived_velocity += vel1[curr_real_id]; + perceived_velocity += vel1[i]; } } } @@ -537,8 +537,9 @@ __global__ void kernUpdateVelNeighborSearchCoherent( res += perceived_velocity * rule3Scale; } glm::vec3 new_vel = vel1[iSelf] + res; - if (glm::length(new_vel) > maxSpeed) { - new_vel = glm::normalize(new_vel) * maxSpeed; + float speed2 = glm::dot(new_vel, new_vel); + if (speed2 > maxSpeed * maxSpeed) { + new_vel = new_vel * glm::inversesqrt(speed2) * maxSpeed; } vel2[iSelf] = new_vel; } From 8182a8b71ee439ff3bdb0cafb2dbec5a65ac10c7 Mon Sep 17 00:00:00 2001 From: GrahamZen <931252924@qq.com> Date: Sun, 10 Sep 2023 16:46:41 -0400 Subject: [PATCH 6/7] fix a bug of malloc add code for testing 2.2 --- src/kernel.cu | 43 +++++++++++++++++++++++++++++++++++-------- 1 file changed, 35 insertions(+), 8 deletions(-) diff --git a/src/kernel.cu b/src/kernel.cu index 3a9c8b6..7464176 100644 --- a/src/kernel.cu +++ b/src/kernel.cu @@ -14,6 +14,7 @@ #ifndef imin #define imin( a, b ) ( ((a) < (b)) ? (a) : (b) ) #endif +#define TEST2_2 0 #define checkCUDAErrorWithLine(msg) checkCUDAError(msg, __LINE__) @@ -166,7 +167,11 @@ void Boids::initSimulation(int N) { checkCUDAErrorWithLine("kernGenerateRandomPosArray failed!"); // LOOK-2.1 computing grid params +#if TEST2_2 + gridCellWidth = std::max(std::max(rule1Distance, rule2Distance), rule3Distance); +#else gridCellWidth = 2.0f * std::max(std::max(rule1Distance, rule2Distance), rule3Distance); +#endif int halfSideCount = (int)(scene_scale / gridCellWidth) + 1; gridSideCount = 2 * halfSideCount; @@ -187,10 +192,10 @@ void Boids::initSimulation(int N) { cudaMalloc((void**)&dev_particleGridIndices, N * sizeof(int)); checkCUDAErrorWithLine("cudaMalloc dev_particleGridIndices failed!"); - cudaMalloc((void**)&dev_gridCellStartIndices, N * sizeof(int)); + cudaMalloc((void**)&dev_gridCellStartIndices, gridCellCount * sizeof(int)); checkCUDAErrorWithLine("cudaMalloc dev_gridCellStartIndices failed!"); - cudaMalloc((void**)&dev_gridCellEndIndices, N * sizeof(int)); + cudaMalloc((void**)&dev_gridCellEndIndices, gridCellCount * sizeof(int)); checkCUDAErrorWithLine("cudaMalloc dev_gridCellEndIndices failed!"); cudaDeviceSynchronize(); } @@ -407,9 +412,13 @@ __global__ void kernUpdateVelNeighborSearchScattered( return; int iSelf = particleArrayIndices[index]; const glm::vec3 cell_idx = (pos[iSelf] - gridMin) * inverseCellWidth; +#if TEST2_2 + const glm::ivec3 cell_idx_begin = cell_idx - glm::vec3(1); + const glm::ivec3 cell_idx_end = cell_idx_begin + glm::ivec3(2); +#else const glm::ivec3 cell_idx_begin = glm::clamp(cell_idx - glm::vec3(0.5), glm::vec3(0), glm::vec3(gridResolution)); const glm::ivec3 cell_idx_end = cell_idx_begin + glm::ivec3(2); - +#endif const glm::vec3 my_pos = pos[iSelf]; glm::vec3 perceived_center{ 0 }; glm::vec3 c{ 0 }; @@ -418,10 +427,16 @@ __global__ void kernUpdateVelNeighborSearchScattered( int rule3_neighbor_count = 0; for (int x = cell_idx_begin.x; x < cell_idx_end.x; x++) { + if (x < 0 || x >= gridResolution) + continue; for (int y = cell_idx_begin.y; y < cell_idx_end.y; y++) { + if (y < 0 || y >= gridResolution) + continue; for (int z = cell_idx_begin.z; z < cell_idx_end.z; z++) { + if (z < 0 || z >= gridResolution) + continue; const int curr_grid_index = gridIndex3Dto1D(x, y, z, gridResolution); const int start_index = gridCellStartIndices[curr_grid_index]; if (start_index == -1) continue; @@ -487,9 +502,13 @@ __global__ void kernUpdateVelNeighborSearchCoherent( return; int iSelf = index; const glm::vec3 cell_idx = (pos[iSelf] - gridMin) * inverseCellWidth; +#if TEST2_2 + const glm::ivec3 cell_idx_begin = cell_idx - glm::vec3(1); + const glm::ivec3 cell_idx_end = cell_idx_begin + glm::ivec3(2); +#else const glm::ivec3 cell_idx_begin = glm::clamp(cell_idx - glm::vec3(0.5), glm::vec3(0), glm::vec3(gridResolution)); const glm::ivec3 cell_idx_end = cell_idx_begin + glm::ivec3(2); - +#endif const glm::vec3 my_pos = pos[iSelf]; glm::vec3 perceived_center{ 0 }; glm::vec3 c{ 0 }; @@ -498,10 +517,16 @@ __global__ void kernUpdateVelNeighborSearchCoherent( int rule3_neighbor_count = 0; for (int x = cell_idx_begin.x; x < cell_idx_end.x; x++) { + if (x < 0 || x >= gridResolution) + continue; for (int y = cell_idx_begin.y; y < cell_idx_end.y; y++) { + if (y < 0 || y >= gridResolution) + continue; for (int z = cell_idx_begin.z; z < cell_idx_end.z; z++) { + if (z < 0 || z >= gridResolution) + continue; const int curr_grid_index = gridIndex3Dto1D(x, y, z, gridResolution); const int start_index = gridCellStartIndices[curr_grid_index]; if (start_index == -1) continue; @@ -560,6 +585,7 @@ void Boids::stepSimulationScatteredGrid(float dt) { // DONE-2.1 // Uniform Grid Neighbor search using Thrust sort. dim3 fullBlocksPerGrid((numObjects + blockSize - 1) / blockSize); + dim3 fullBlocksPerGridIntBuffer((gridCellCount + blockSize - 1) / blockSize); // In Parallel: // - label each particle with its array index as well as its grid index. kernComputeIndices << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, dev_pos, dev_particleArrayIndices, dev_particleGridIndices); @@ -571,8 +597,8 @@ void Boids::stepSimulationScatteredGrid(float dt) { thrust::sort_by_key(dev_thrust_particleGridIndices, dev_thrust_particleGridIndices + numObjects, dev_thrust_particleArrayIndices); // - Naively unroll the loop for finding the start and end indices of each // cell's data pointers in the array of boid indices - kernResetIntBuffer << > > (numObjects, dev_gridCellStartIndices, -1); - kernResetIntBuffer << > > (numObjects, dev_gridCellEndIndices, -1); + kernResetIntBuffer << > > (gridCellCount, dev_gridCellStartIndices, -1); + kernResetIntBuffer << > > (gridCellCount, dev_gridCellEndIndices, -1); kernIdentifyCellStartEnd << > > (numObjects, dev_particleGridIndices, dev_gridCellStartIndices, dev_gridCellEndIndices); // - Perform velocity updates using neighbor search kernUpdateVelNeighborSearchScattered << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, gridCellWidth, dev_gridCellStartIndices, dev_gridCellEndIndices, dev_particleArrayIndices, dev_pos, dev_vel1, dev_vel2); @@ -599,12 +625,13 @@ void Boids::stepSimulationCoherentGrid(float dt) { // - Update positions // - Ping-pong buffers as needed. THIS MAY BE DIFFERENT FROM BEFORE. dim3 fullBlocksPerGrid((numObjects + blockSize - 1) / blockSize); + dim3 fullBlocksPerGridIntBuffer((gridCellCount + blockSize - 1) / blockSize); kernComputeIndices << > > (numObjects, gridSideCount, gridMinimum, gridInverseCellWidth, dev_pos, dev_particleArrayIndices, dev_particleGridIndices); dev_thrust_particleGridIndices = thrust::device_ptr(dev_particleGridIndices); dev_thrust_particleArrayIndices = thrust::device_ptr(dev_particleArrayIndices); thrust::sort_by_key(dev_thrust_particleGridIndices, dev_thrust_particleGridIndices + numObjects, dev_thrust_particleArrayIndices); - kernResetIntBuffer << > > (numObjects, dev_gridCellStartIndices, -1); - kernResetIntBuffer << > > (numObjects, dev_gridCellEndIndices, -1); + kernResetIntBuffer << > > (gridCellCount, dev_gridCellStartIndices, -1); + kernResetIntBuffer << > > (gridCellCount, dev_gridCellEndIndices, -1); kernIdentifyCellStartEnd << > > (numObjects, dev_particleGridIndices, dev_gridCellStartIndices, dev_gridCellEndIndices); kernRearrangeArray << > > (numObjects, dev_pos, dev_pos1, dev_vel1, dev_vel2, dev_particleArrayIndices); From b8f6ae52748cb53361a5c0b4c13a9ecd6a19f535 Mon Sep 17 00:00:00 2001 From: GrahamZen <931252924@qq.com> Date: Sun, 10 Sep 2023 16:51:43 -0400 Subject: [PATCH 7/7] finish readme --- README.md | 48 ++++++++++++++++++++++++++++----- image/README/1694311599535.gif | Bin 0 -> 4429362 bytes image/README/1694316622131.png | Bin 0 -> 58302 bytes image/README/1694370123710.png | Bin 0 -> 604904 bytes image/README/1694378908002.png | Bin 0 -> 55733 bytes image/README/1694378967440.png | Bin 0 -> 22181 bytes 6 files changed, 42 insertions(+), 6 deletions(-) create mode 100644 image/README/1694311599535.gif create mode 100644 image/README/1694316622131.png create mode 100644 image/README/1694370123710.png create mode 100644 image/README/1694378908002.png create mode 100644 image/README/1694378967440.png diff --git a/README.md b/README.md index d63a6a1..cf6b366 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,47 @@ +![1694311599535](image/README/1694311599535.gif) **University of Pennsylvania, CIS 565: GPU Programming and Architecture, Project 1 - Flocking** -* (TODO) YOUR NAME HERE - * (TODO) [LinkedIn](), [personal website](), [twitter](), etc. -* Tested on: (TODO) Windows 22, i7-2222 @ 2.22GHz 22GB, GTX 222 222MB (Moore 2222 Lab) +* Gehan Zheng + * [LinkedIn](https://www.linkedin.com/in/gehan-zheng-05877b24a/), [personal website](https://grahamzen.github.io/). +* Tested on: Windows 10, AMD Ryzen 7 5800H @ 3.2GHz 16GB, GeForce RTX 3060 Laptop 6144MB (Personal Laptop) -### (TODO: Your README) +## Screenshot +* N=5000 +![1694316622131](image/README/1694316622131.png) -Include screenshots, analysis, etc. (Remember, this is public, so don't put -anything here that you don't want to share with the world.) +* N=160000 +![1694370123710](image/README/1694370123710.png) +## Performance Analysis + +* For each implementation, how does changing the number of boids affect performance? Why do you think this is? + +![1694378908002](image/README/1694378908002.png) + +For both three implementation, the performance is only getting worse when the number of boids is increasing. For the first one, it is because the execution time of CUDA component is too much when N is larger, since it iterate over all particles to search for neighbors. Similarly, for uniform grid and coherent uniform grid, once N exceeds a certain threshold, the execution time of non-CUDA components, such as memory swapping, increases substantially which cannot be offset by the performance improvement of CUDA components, resulting in a decrease in FPS. + +* For each implementation, how does changing the block count and block size affect performance? Why do you think this is? + +![1694378967440](image/README/1694378967440.png) + +When the block size is below a certain value, increasing the block size can lead to an increase in FPS, but when it exceeds this value, increasing the block size will result in a decrease in FPS. There are two possible reasons for this. + +Firstly, when the block size is below a certain value, increasing the block size causes the grid size to decrease. As a result, there is a reduction in the overhead required to launch fewer blocks. + +Secondly, each SM on the GPU has a limited number of SP and registers. When the block size becomes very large, it may not be possible to run all threads in a block concurrently due to these hardware limitations. Consequently, as the block size increases, FPS may decrease because not all threads can run in parallel effectively. + +* For the coherent uniform grid: did you experience any performance improvements with the more coherent uniform grid? Was this the outcome you expected? Why or why not? + +There is an obvious improvement in performance when using coherent uniform grid especially when the number of boids is large. This is because the coherent uniform grid can reduce the number of boids that need to be checked for each boid. + + +* Did changing cell width and checking 27 vs 8 neighboring cells affect performance? Why or why not? Be careful: it is insufficient (and possibly incorrect) to say that 27-cell is slower simply because there are more cells to check! + +| N | 8-cell | 27-cell | +| ---------- | ------ | ------- | +| 640000 | 200 | 650 | +| 1280000 | 58 | 274 | + +The result shown above using coherent uniform grid, and block size is 128. + +It did change the performance. When the number of boids is large, the 27-cell version is faster than the 8-cell version. 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