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425278d17b
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add-dnsseed-keva-one
add-kex-keva-one-dns
cn
cn_merge
cn_mining
fix-qt-dpi-warning
idb-fix
inlude-qpainterpath
issue_19
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keva-gui
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kvazar
main
master
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rx
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${ noResults }
1 Commits (425278d17bd0edf8a3a7cc81e55016f7fd8e7726)
Author | SHA1 | Message | Date |
---|---|---|---|
Gavin Andresen |
7072c544b5
|
Support very-fast-running benchmarks
Avoid calling gettimeofday every time through the benchmarking loop, by keeping track of how long each loop takes and doubling the number of iterations done between time checks when they take less than 1/16'th of the total elapsed time. |
9 years ago |
Gavin Andresen |
535ed9223d
|
Simple benchmarking framework
Benchmarking framework, loosely based on google's micro-benchmarking library (https://github.com/google/benchmark) Wny not use the Google Benchmark framework? Because adding Even More Dependencies isn't worth it. If we get a dozen or three benchmarks and need nanosecond-accurate timings of threaded code then switching to the full-blown Google Benchmark library should be considered. The benchmark framework is hard-coded to run each benchmark for one wall-clock second, and then spits out .csv-format timing information to stdout. It is left as an exercise for later (or maybe never) to add command-line arguments to specify which benchmark(s) to run, how long to run them for, how to format results, etc etc etc. Again, see the Google Benchmark framework for where that might end up. See src/bench/MilliSleep.cpp for a sanity-test benchmark that just benchmarks 'sleep 100 milliseconds.' To compile and run benchmarks: cd src; make bench Sample output: Benchmark,count,min,max,average Sleep100ms,10,0.101854,0.105059,0.103881 |
9 years ago |