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* Better LEM synthesizer * Suggestions and comments * Suggestions and simplifications * into_iter -> iter * Brought back output hints * Removed weird test
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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/8119934170
Benchmark Results
LEM Fibonacci Prove - rc = 100
ref=eaf996c69d0c47c6f316b9359ff144ddcaf17f47
ref=de92cfbcc0b405978b94c6a36df644b02b457215
num-100
1.46 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=eaf996c69d0c47c6f316b9359ff144ddcaf17f47
ref=de92cfbcc0b405978b94c6a36df644b02b457215
num-100
1.83 s
(✅ 1.00x)1.83 s
(✅ 1.00x faster)num-200
3.02 s
(✅ 1.00x)3.02 s
(✅ 1.00x slower)Made with criterion-table