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partial bitcoin#23025: update nanobench add -min_time
includes: - eed99cf272426e5957bee35dc8e7d0798aec8ec0 - 153e6860e84df0a3d52e5a3b2fe9c37b5e0b029a
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@ -101,40 +101,33 @@ static void AddrManGetAddr(benchmark::Bench& bench)
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});
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}
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static void AddrManGood(benchmark::Bench& bench)
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static void AddrManAddThenGood(benchmark::Bench& bench)
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{
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/* Create many AddrMan objects - one to be modified at each loop iteration.
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* This is necessary because the AddrMan::Good() method modifies the
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* object, affecting the timing of subsequent calls to the same method and
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* we want to do the same amount of work in every loop iteration. */
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bench.epochs(5).epochIterations(1);
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const size_t addrman_count{bench.epochs() * bench.epochIterations()};
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std::vector<std::unique_ptr<AddrMan>> addrmans(addrman_count);
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for (size_t i{0}; i < addrman_count; ++i) {
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addrmans[i] = std::make_unique<AddrMan>(/* asmap */ std::vector<bool>(), /* deterministic */ false, /* consistency_check_ratio */ 0);
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FillAddrMan(*addrmans[i]);
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}
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auto markSomeAsGood = [](AddrMan& addrman) {
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for (size_t source_i = 0; source_i < NUM_SOURCES; ++source_i) {
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for (size_t addr_i = 0; addr_i < NUM_ADDRESSES_PER_SOURCE; ++addr_i) {
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if (addr_i % 32 == 0) {
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addrman.Good(g_addresses[source_i][addr_i]);
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}
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}
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}
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};
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uint64_t i = 0;
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CreateAddresses();
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bench.run([&] {
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markSomeAsGood(*addrmans.at(i));
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++i;
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// To make the benchmark independent of the number of evaluations, we always prepare a new addrman.
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// This is necessary because AddrMan::Good() method modifies the object, affecting the timing of subsequent calls
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// to the same method and we want to do the same amount of work in every loop iteration.
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//
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// This has some overhead (exactly the result of AddrManAdd benchmark), but that overhead is constant so improvements in
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// AddrMan::Good() will still be noticeable.
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AddrMan addrman(/* asmap */ std::vector<bool>(), /* deterministic */ false, /* consistency_check_ratio */ 0);
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AddAddressesToAddrMan(addrman);
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markSomeAsGood(addrman);
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});
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}
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BENCHMARK(AddrManAdd);
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BENCHMARK(AddrManSelect);
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BENCHMARK(AddrManGetAddr);
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BENCHMARK(AddrManGood);
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BENCHMARK(AddrManAddThenGood);
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@ -33,7 +33,7 @@
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// see https://semver.org/
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#define ANKERL_NANOBENCH_VERSION_MAJOR 4 // incompatible API changes
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#define ANKERL_NANOBENCH_VERSION_MINOR 3 // backwards-compatible changes
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#define ANKERL_NANOBENCH_VERSION_PATCH 4 // backwards-compatible bug fixes
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#define ANKERL_NANOBENCH_VERSION_PATCH 6 // backwards-compatible bug fixes
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///////////////////////////////////////////////////////////////////////////////////////////////////
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// public facing api - as minimal as possible
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@ -88,13 +88,15 @@
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} while (0)
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#endif
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#if defined(__linux__) && defined(PERF_EVENT_IOC_ID) && defined(PERF_COUNT_HW_REF_CPU_CYCLES) && defined(PERF_FLAG_FD_CLOEXEC) && \
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!defined(ANKERL_NANOBENCH_DISABLE_PERF_COUNTERS)
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// only enable perf counters on kernel 3.14 which seems to have all the necessary defines. The three PERF_... defines are not in
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// kernel 2.6.32 (all others are).
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#define ANKERL_NANOBENCH_PRIVATE_PERF_COUNTERS() 0
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#if defined(__linux__) && !defined(ANKERL_NANOBENCH_DISABLE_PERF_COUNTERS)
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# include <linux/version.h>
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# if LINUX_VERSION_CODE >= KERNEL_VERSION(3, 14, 0)
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// PERF_COUNT_HW_REF_CPU_CYCLES only available since kernel 3.3
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// PERF_FLAG_FD_CLOEXEC since kernel 3.14
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# undef ANKERL_NANOBENCH_PRIVATE_PERF_COUNTERS
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# define ANKERL_NANOBENCH_PRIVATE_PERF_COUNTERS() 1
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#else
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# define ANKERL_NANOBENCH_PRIVATE_PERF_COUNTERS() 0
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# endif
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#endif
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#if defined(__clang__)
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@ -2210,20 +2212,20 @@ struct IterationLogic::Impl {
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columns.emplace_back(10, 1, "err%", "%", rErrorMedian * 100.0);
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double rInsMedian = -1.0;
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if (mResult.has(Result::Measure::instructions)) {
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if (mBench.performanceCounters() && mResult.has(Result::Measure::instructions)) {
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rInsMedian = mResult.median(Result::Measure::instructions);
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columns.emplace_back(18, 2, "ins/" + mBench.unit(), "", rInsMedian / mBench.batch());
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}
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double rCycMedian = -1.0;
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if (mResult.has(Result::Measure::cpucycles)) {
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if (mBench.performanceCounters() && mResult.has(Result::Measure::cpucycles)) {
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rCycMedian = mResult.median(Result::Measure::cpucycles);
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columns.emplace_back(18, 2, "cyc/" + mBench.unit(), "", rCycMedian / mBench.batch());
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}
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if (rInsMedian > 0.0 && rCycMedian > 0.0) {
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columns.emplace_back(9, 3, "IPC", "", rCycMedian <= 0.0 ? 0.0 : rInsMedian / rCycMedian);
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}
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if (mResult.has(Result::Measure::branchinstructions)) {
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if (mBench.performanceCounters() && mResult.has(Result::Measure::branchinstructions)) {
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double rBraMedian = mResult.median(Result::Measure::branchinstructions);
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columns.emplace_back(17, 2, "bra/" + mBench.unit(), "", rBraMedian / mBench.batch());
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if (mResult.has(Result::Measure::branchmisses)) {
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@ -2402,6 +2404,14 @@ public:
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return (a + divisor / 2) / divisor;
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}
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ANKERL_NANOBENCH_NO_SANITIZE("integer", "undefined")
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static inline uint32_t mix(uint32_t x) noexcept {
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x ^= x << 13;
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x ^= x >> 17;
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x ^= x << 5;
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return x;
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}
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template <typename Op>
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ANKERL_NANOBENCH_NO_SANITIZE("integer", "undefined")
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void calibrate(Op&& op) {
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@ -2441,15 +2451,10 @@ public:
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uint64_t const numIters = 100000U + (std::random_device{}() & 3);
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uint64_t n = numIters;
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uint32_t x = 1234567;
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auto fn = [&]() {
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x ^= x << 13;
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x ^= x >> 17;
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x ^= x << 5;
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};
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beginMeasure();
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while (n-- > 0) {
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fn();
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x = mix(x);
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}
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endMeasure();
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detail::doNotOptimizeAway(x);
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@ -2459,8 +2464,8 @@ public:
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beginMeasure();
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while (n-- > 0) {
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// we now run *twice* so we can easily calculate the overhead
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fn();
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fn();
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x = mix(x);
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x = mix(x);
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}
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endMeasure();
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detail::doNotOptimizeAway(x);
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