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* Removed `lang` and `reduction_count` from `prove_recursively` * Removed `Coprocessor` from `RecursiveSNARKTrait` * WIP removing coprocessor from `Prover` * Simplified `RecursiveSNARKTrait` * MultiFrame is FrameLike * Generic `Prover` * Generic `Proof` * Use multiframe input
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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/7629541532
Benchmark Results
LEM Fibonacci Prove - rc = 100
ref=7acfbb53bdadf32cd4a3397bd3e193776ffbdba1
ref=8046da0e91f8ca9eb41b5733efcd23ca47c4fcae
num-100
1.74 s
(✅ 1.00x)1.73 s
(✅ 1.00x faster)num-200
3.36 s
(✅ 1.00x)3.35 s
(✅ 1.00x faster)LEM Fibonacci Prove - rc = 600
ref=7acfbb53bdadf32cd4a3397bd3e193776ffbdba1
ref=8046da0e91f8ca9eb41b5733efcd23ca47c4fcae
num-100
2.05 s
(✅ 1.00x)2.03 s
(✅ 1.01x faster)num-200
3.41 s
(✅ 1.00x)3.39 s
(✅ 1.01x faster)Made with criterion-table