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Test GPU utilization of 4 V100s
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@samuelburnham
samuelburnham committed Dec 1, 2023
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2 changes: 1 addition & 1 deletion .github/workflows/gpu-bench-workflow-dispatch.yml
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Expand Up @@ -11,7 +11,7 @@ concurrency:
jobs:
gpu-benchmark:
name: Run local fibonacci bench
runs-on: [self-hosted, gpu-bench-test-l4-x4]
runs-on: [self-hosted, gpu-bench-test-v100-x4]
steps:
# Set up GPU
# Check we have access to the machine's Nvidia drivers
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Benchmarks

Table of Contents

Overview

This benchmark report shows the Fibonacci GPU benchmark.
Tesla V100-SXM2-16GB
Intel(R) Xeon(R) CPU @ 2.30GHz
117.905 GB RAM

Benchmark Results

LEM Fibonacci Prove - rc = 100

fib-ref=921a5a9579c3d52e31c6f16e6e1d9c4a6c164530
num-100 4.33 s (✅ 1.00x)
num-200 8.87 s (✅ 1.00x)

LEM Fibonacci Prove - rc = 600

fib-ref=921a5a9579c3d52e31c6f16e6e1d9c4a6c164530
num-100 3.58 s (✅ 1.00x)
num-200 7.90 s (✅ 1.00x)

LEM Fibonacci Prove - rc = 900

fib-ref=921a5a9579c3d52e31c6f16e6e1d9c4a6c164530
num-100 3.48 s (✅ 1.00x)
num-200 8.38 s (✅ 1.00x)

LEM Fibonacci Prove - rc = 1000

fib-ref=921a5a9579c3d52e31c6f16e6e1d9c4a6c164530
num-100 3.82 s (✅ 1.00x)
num-200 8.91 s (✅ 1.00x)

LEM Fibonacci Prove - rc = 1200

fib-ref=921a5a9579c3d52e31c6f16e6e1d9c4a6c164530
num-100 4.58 s (✅ 1.00x)
num-200 7.62 s (✅ 1.00x)

Made with criterion-table

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