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Use Bn256/Grumpkin curves as a default setting (#1039)
* chore: Use Bn256/Grumpkin curves by default in field.rs * chore: Use Bn256/Grumpkin curves by default in symbol.rs * chore: Use Bn256/Grumpkin curves by default in parser/syntax.rs * chore: Use Bn256/Grumpkin curves by default in eval/lang.rs * chore: Use Bn256/Grumpkin curves by default in parser/string.rs * chore: Use Bn256/Grumpkin curves by default in public_parameters/mod.rs * chore: Use Bn256/Grumpkin curves by default in parser/base.rs * chore: Use Bn256/Grumpkin curves by default in z_data/z_cont.rs * chore: Use Bn256/Grumpkin curves by default in z_data/z_expr.rs * chore: Use Bn256/Grumpkin curves by default in z_data/z_store.rs * chore: Use Bn256/Grumpkin curves by default in circuit/gadgets/constraints.rs * chore: Use Bn256/Grumpkin curves by default in z_data/serde/mod.rs * chore: Use Bn256/Grumpkin curves by default in z_data/z_ptr.rs * chore: Use Bn256/Grumpkin curves by default in circuit/circuit_frame.rs * chore: Use Bn256/Grumpkin curves by default in lem/store.rs * chore: Use Bn256/Grumpkin curves by default in num.rs * chore: Use Bn256/Grumpkin curves by default in num.rs * chore: Use Bn256/Grumpkin curves by default in lem/tests/eval_tests.rs * chore: Use Bn256/Grumpkin curves by default in lem/tests/misc.rs * chore: Use Bn256/Grumpkin curves by default in lem/tests/nivc_steps.rs * chore: Use Bn256/Grumpkin curves by default in proof/tests/nova_tests_lem.rs * chore: Use Bn256/Grumpkin curves by default in coprocessor/trie/mod.rs * chore: Use Bn256/Grumpkin curves by default in lem/multiframe.rs * chore: Use Bn256/Grumpkin curves by default in coroutine/memoset/demo.rs * chore: Use Bn256/Grumpkin curves by default in coroutine/memoset/mod.rs * chore: Use Bn256/Grumpkin curves by default in coprocessor/gadgets.rs --------- Co-authored-by: Gabriel Barreto <gabriel.aquino.barreto@gmail.com>
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Benchmarks
Table of Contents
Overview
This benchmark report shows the Fibonacci GPU benchmark.
NVIDIA GeForce RTX 4070
AMD Ryzen 9 3950X 16-Core Processor
32 vCPUs
125 GB RAM
Workflow run: https://github.com/lurk-lab/lurk-rs/actions/runs/7669261501
Benchmark Results
LEM Fibonacci Prove - rc = 100
ref=a9b537bb86aa1e31e157d3dfe95c16c1b35bcaef
ref=8b4c10e79550d23518c0331a470e1d4247b061ce
num-100
1.34 s
(✅ 1.00x)1.35 s
(✅ 1.00x slower)num-200
2.58 s
(✅ 1.00x)2.58 s
(✅ 1.00x slower)LEM Fibonacci Prove - rc = 600
ref=a9b537bb86aa1e31e157d3dfe95c16c1b35bcaef
ref=8b4c10e79550d23518c0331a470e1d4247b061ce
num-100
1.61 s
(✅ 1.00x)1.61 s
(✅ 1.00x faster)num-200
2.69 s
(✅ 1.00x)2.68 s
(✅ 1.00x faster)Made with criterion-table