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* Implement MemoSet. * Add len and cardinality to MultiSet. * Use expect_test. * Refactor. * Rename to format_to_string_simple. * Rebase/fix. * Make comments doc comments. * Handle missing value when synthesizing shape. * Add explanatory comments. * Abstract transcript. * Abstract CircuitTranscript. * Rename. * Remove superflous bound. * Always allocate query when synthesizing. * Remove dbg. * Add r() to Transcript. * Eliminate pesky T. * Add MemoSet module doc. * Move associated type from Query to CircuitQuery. * Be more generic. * One more Q. * Fix typo. * Grammar. * Remove redundant assert_eq. --------- Co-authored-by: porcuquine <[email protected]>
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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
125.78 GB RAM
Workflow run: https://github.com/lurk-lab/lurk-rs/actions/runs/7495244275
Benchmark Results
LEM Fibonacci Prove - rc = 100
fib-ref=1751b93d8b9d22c4860b1183cac6db0967d8f0e8
fib-ref=d9a54a6b4d995d71de835a3785c6d7e449cf92af
num-100
1.73 s
(✅ 1.00x)1.73 s
(✅ 1.00x faster)num-200
3.33 s
(✅ 1.00x)3.32 s
(✅ 1.00x faster)LEM Fibonacci Prove - rc = 600
fib-ref=1751b93d8b9d22c4860b1183cac6db0967d8f0e8
fib-ref=d9a54a6b4d995d71de835a3785c6d7e449cf92af
num-100
1.95 s
(✅ 1.00x)1.94 s
(✅ 1.00x faster)num-200
3.34 s
(✅ 1.00x)3.33 s
(✅ 1.00x faster)Made with criterion-table