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Coroutine simplifications and generalization (#1160)
* Some simplifications * `GlobalAllocator` does not need to be mutable * Generalized `recurse` and `post_recursion` * Moved nil to outside the loop
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Benchmarks
Table of Contents
Overview
This benchmark report shows the Fibonacci GPU benchmark.
NVIDIA L4
Intel(R) Xeon(R) CPU @ 2.20GHz
32 vCPUs
125 GB RAM
Workflow run: https://github.com/lurk-lab/lurk-rs/actions/runs/7982795723
Benchmark Results
LEM Fibonacci Prove - rc = 100
ref=3d2f7f61686c716bc3722a9e864eccfe03f926a4
ref=5458a5308d6a370a09ba6543aab3a1a3d7883c1a
num-100
1.45 s
(✅ 1.00x)1.45 s
(✅ 1.00x faster)num-200
2.77 s
(✅ 1.00x)2.78 s
(✅ 1.00x slower)LEM Fibonacci Prove - rc = 600
ref=3d2f7f61686c716bc3722a9e864eccfe03f926a4
ref=5458a5308d6a370a09ba6543aab3a1a3d7883c1a
num-100
1.82 s
(✅ 1.00x)1.83 s
(✅ 1.01x slower)num-200
3.01 s
(✅ 1.00x)3.02 s
(✅ 1.00x slower)Made with criterion-table