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chore: minor changes in
StoreCore
(#1241)
* Factor out common code for finalizing interning * Make `intern_digest` just return `usize` * Improve some docstrings
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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/8784130537
Benchmark Results
LEM Fibonacci Prove - rc = 100
ref=bb04f94ab5510d5e1c4ac94315c5abcb27edbb11
ref=8802da5c85d26129167c3ba7ef4e7ed22f56707a
num-100
1.50 s
(✅ 1.00x)1.50 s
(✅ 1.00x faster)num-200
2.87 s
(✅ 1.00x)2.85 s
(✅ 1.01x faster)LEM Fibonacci Prove - rc = 600
ref=bb04f94ab5510d5e1c4ac94315c5abcb27edbb11
ref=8802da5c85d26129167c3ba7ef4e7ed22f56707a
num-100
1.88 s
(✅ 1.00x)1.89 s
(✅ 1.00x slower)num-200
3.11 s
(✅ 1.00x)3.10 s
(✅ 1.00x faster)Made with criterion-table