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* CoroutineCircuit refactor * Memoset prover simplified * Fixed CircuitScope's provenances clone * Fixed LogMemoCircuit's multiset clone
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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/8267672791
Benchmark Results
LEM Fibonacci Prove - rc = 100
ref=e4bc325367c2ea9e4f70ec2bef63cfc7f41a2f29
ref=4e5cd03bdb3f1b354856ea3283b323589933c1c9
num-100
1.46 s
(✅ 1.00x)1.45 s
(✅ 1.00x faster)num-200
2.77 s
(✅ 1.00x)2.77 s
(✅ 1.00x faster)LEM Fibonacci Prove - rc = 600
ref=e4bc325367c2ea9e4f70ec2bef63cfc7f41a2f29
ref=4e5cd03bdb3f1b354856ea3283b323589933c1c9
num-100
1.85 s
(✅ 1.00x)1.83 s
(✅ 1.01x faster)num-200
3.05 s
(✅ 1.00x)3.07 s
(✅ 1.00x slower)Made with criterion-table