New measurements: ``` goal_10: 181.910200 ms, kernel: 37.241050 ms goal_20: 386.540215 ms, kernel: 83.497428 ms goal_30: 648.282057 ms, kernel: 117.038447 ms goal_40: 946.733191 ms, kernel: 168.369124 ms goal_50: 1325.846873 ms, kernel: 223.838786 ms goal_60: 1734.175705 ms, kernel: 285.594486 ms goal_70: 2199.522317 ms, kernel: 351.659865 ms goal_80: 2700.077802 ms, kernel: 428.303337 ms goal_90: 3260.446641 ms, kernel: 515.976499 ms goal_100: 3865.503733 ms, kernel: 600.229962 ms ``` Previously, goal_100 took 7.8s. |
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| .. | ||
| inundation | ||
| mergeSort | ||
| mvcgen | ||
| qsort | ||
| sym | ||
| .gitignore | ||
| accumulate_profile.py | ||
| arith_eval.ml | ||
| big_beq.lean | ||
| big_beq_rec.lean | ||
| big_deceq.lean | ||
| big_deceq_rec.lean | ||
| big_do.lean | ||
| big_match.lean | ||
| big_match_nat.lean | ||
| big_match_nat_split.lean | ||
| big_match_partial.lean | ||
| big_omega.lean | ||
| big_struct.lean | ||
| big_struct_dep.lean | ||
| binarytrees.ghc-6.hs | ||
| binarytrees.lean | ||
| binarytrees.lean.args | ||
| binarytrees.lean.expected.out | ||
| binarytrees.ocaml-2.ml | ||
| binarytrees.st.hs | ||
| binarytrees.st.lean | ||
| binarytrees.st.mlton-2.sml | ||
| binarytrees.st.sml | ||
| binarytrees.st.swift | ||
| binarytrees.swift | ||
| binarytrees5.ml | ||
| binarytrees5_multicore.ml | ||
| bv_decide_inequality.lean | ||
| bv_decide_large_aig.lean | ||
| bv_decide_mod.lean | ||
| bv_decide_mul.lean | ||
| bv_decide_realworld.lean | ||
| bv_decide_rewriter.lean | ||
| channel.lean | ||
| charactersIn.lean | ||
| compile.sh | ||
| const_fold.hs | ||
| const_fold.lean | ||
| const_fold.lean.args | ||
| const_fold.lean.expected.out | ||
| const_fold.ml | ||
| const_fold.sml | ||
| const_fold.swift | ||
| cross.yaml | ||
| dag_hassorry_issue.lean | ||
| dag_hassorry_issue.lean.args | ||
| dag_hassorry_issue.lean.expected.out | ||
| deriv.hs | ||
| deriv.lean | ||
| deriv.lean.args | ||
| deriv.lean.expected.out | ||
| deriv.ml | ||
| deriv.sml | ||
| deriv.swift | ||
| ex-50-50-1.leq | ||
| flake.lock | ||
| flake.nix | ||
| full-stdlib.exec.yaml | ||
| ghc-gc.py | ||
| hashmap.lean | ||
| identifier_completion.lean | ||
| identifier_completion_didOpen.log | ||
| identifier_completion_initialization.log | ||
| identifier_completion_runner.lean | ||
| ilean_roundtrip.lean | ||
| iterators.lean | ||
| lean-gc.py | ||
| liasolver.lean | ||
| liasolver.lean.args | ||
| liasolver.lean.expected.out | ||
| Makefile | ||
| mlkit-gc.py | ||
| mut_rec_wf.lean | ||
| nat_repr.lean | ||
| nat_repr.lean.args | ||
| nat_repr.lean.expected.out | ||
| ocaml-gc.py | ||
| omega_stress.lean | ||
| parser.lean | ||
| perf.py | ||
| phashmap.lean | ||
| qsort.hs | ||
| qsort.lean | ||
| qsort.lean.args | ||
| qsort.lean.expected.out | ||
| qsort.ml | ||
| qsort.sml | ||
| qsort.swift | ||
| rbmap.hs | ||
| rbmap.lean | ||
| rbmap.lean.args | ||
| rbmap.lean.expected.out | ||
| rbmap.ml | ||
| rbmap.sml | ||
| rbmap.swift | ||
| rbmap2.lean | ||
| rbmap3.lean | ||
| rbmap500k.lean | ||
| rbmap_checkpoint.hs | ||
| rbmap_checkpoint.lean | ||
| rbmap_checkpoint.lean.args | ||
| rbmap_checkpoint.lean.expected.out | ||
| rbmap_checkpoint.ml | ||
| rbmap_checkpoint.sml | ||
| rbmap_checkpoint.swift | ||
| rbmap_checkpoint2.lean | ||
| rbmap_checkpoint2.sml | ||
| rbmap_checkpoint_cpp_lean3.cpp | ||
| rbmap_checkpoint_cpp_std.cpp | ||
| rbmap_cpp_lean3.cpp | ||
| rbmap_cpp_std.cpp | ||
| rbmap_fbip.lean | ||
| rbmap_library.lean | ||
| README.md | ||
| reduceMatch.lean | ||
| report.py | ||
| riscv-ast.lean | ||
| run.sh | ||
| server_startup.lean | ||
| server_startup.log | ||
| sigmaIterator.lean | ||
| simp_arith1.lean | ||
| simp_bubblesort_256.lean | ||
| simp_congr.lean | ||
| simp_local.lean | ||
| simp_subexpr.lean | ||
| speedcenter.exec.velcom.yaml | ||
| speedcenter.yaml | ||
| states35.lean | ||
| test_single.sh | ||
| treemap.lean | ||
| unionfind.lean | ||
| unionfind.lean.args | ||
| unionfind.lean.expected.out | ||
| unionfind_clean.lean | ||
| watchdogRss.lean | ||
| workspaceSymbols.lean | ||
| workspaceSymbolsNewRanges.lean | ||
Lean Benchmark Suites
This folder contains multiple small Lean programs for benchmarking used by two separate benchmark suites based on the temci benchmarking tool:
- The light-weight "Speedcenter" suite benchmarks the current build of Lean. It can be used for quick comparisons on the cmdline and powers the Lean Speedcenter website.
- The heavy-weight "Cross" suite benchmarks multiple Lean configurations and other functional compilers against each other and generates CSV and HTML reports from that. It was created for the paper "Counting Immutable Beans - Reference Counting Optimized for Purely Functional Programming" (IFL19).
Speedcenter Suite
Requirements:
- A local Lean build in
../../build/release. Build at least thebintarget. - temci. Using Nix, open a nix-shell in the project
root directory to add a compatible version to your PATH. Alternatively, try
pip3 install git+https://github.com/parttimenerd/temci.git.
To execute the suite and save the results in base.yaml, run (in this folder)
temci exec --config speedcenter.yaml --out base.yaml
Other interesting exec flags:
- use
--runs Nto modify the default number of 10 runs per benchmark - use
--included_blocks fastto excluded slow benchmarks like the stdlib benchmark. You can replacefastwith any benchmark name or label inspeedcenter.exec.yaml.
If you have multiple saved result files, you can compare them with
temci report --config speedcenter.yaml report1.yaml report2.yaml ...
Cross Suite
We recommend using Nix for building/obtaining all Lean variants and used compilers in a reproducible way. After installing Nix, running the benchmarks is as easy as
nix develop
make
This will record 50 runs for each benchmark configuration (this can be changed with runs in cross.yaml),
generate results in report_lean.csv and report_cross.csv, and print them to stdout in a tabulated format.
It will also generate HTML reports in report/ comparing the time-based benchmarks.
In order to reduce noise in the benchmarking data, you may instead want to try calling make inside a
temci shell:
temci short shell --sudo --preset usable --cpuset_active make
Using root powers, this will temporarily configure your machine similarly to the LLVM benchmarking recommendations and move all your other processes to a single CPU core.