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* refactor: avoid distant else, convert to `and_then` - Simplified return flow in `InversePoseidonCache` `get` method in `hash.rs` using `and_then`. - Refactored variable allocation within `from_ptr` method in `memoset/env.rs`. - Made minor clean-up and formatting improvements to improve readability across multiple files. * refactor: convert divergent if .. let to let .. else * refactor: Refactor if let .. else into let .. else where relevant in store.rs - Simplify code logic by replacing `if let` syntax with `let ... else`. * refactor: transform match on option to let-else where relevant
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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/7953072176
Benchmark Results
LEM Fibonacci Prove - rc = 100
ref=f2d70f4f7c295cde6f07ae391f601a0d49c3965e
ref=afa34a24d8209b1f1a92e453e37892c98ca2df42
num-100
1.45 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=f2d70f4f7c295cde6f07ae391f601a0d49c3965e
ref=afa34a24d8209b1f1a92e453e37892c98ca2df42
num-100
1.84 s
(✅ 1.00x)1.85 s
(✅ 1.01x slower)num-200
3.04 s
(✅ 1.00x)3.04 s
(✅ 1.00x slower)Made with criterion-table