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bench: Make Xor benchmark more representative
To make the benchmarks representative, I've collected the write-vector's sizes during IBD for every invocation of `util::Xor` until 860k blocks, and used it as a basis for the micro-benchmarks, having a similar distribution of random data (taking the 1000 most frequent ones, making sure the very big ones are also covered). And even though we already have serialization tests, `AutoFileXor` was added to serializing 1 MB via the provided key_bytes. This was used to test the effect of disabling obfuscation. > cmake -B build -DBUILD_BENCH=ON -DCMAKE_BUILD_TYPE=Release \ && cmake --build build -j$(nproc) \ && build/src/bench/bench_bitcoin -filter='XorHistogram|AutoFileXor' -min-time=10000 C++ compiler .......................... AppleClang 16.0.0.16000026 | ns/byte | byte/s | err% | total | benchmark |--------------------:|--------------------:|--------:|----------:|:---------- | 1.07 | 937,527,289.88 | 0.4% | 10.24 | `AutoFileXor` | 0.87 | 1,149,859,017.49 | 0.3% | 10.80 | `XorHistogram` C++ compiler .......................... GNU 13.2.0 | ns/byte | byte/s | err% | ins/byte | cyc/byte | IPC | bra/byte | miss% | total | benchmark |--------------------:|--------------------:|--------:|----------------:|----------------:|-------:|---------------:|--------:|----------:|:---------- | 1.87 | 535,253,389.72 | 0.0% | 9.20 | 3.45 | 2.669 | 1.03 | 0.1% | 11.02 | `AutoFileXor` | 1.70 | 587,844,715.57 | 0.0% | 9.35 | 5.41 | 1.729 | 1.05 | 1.7% | 10.95 | `XorHistogram`
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1 changed files with 12 additions and 5 deletions
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@ -7,17 +7,24 @@
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#include <span.h>
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#include <streams.h>
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#include <cmath>
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#include <cstddef>
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#include <map>
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#include <vector>
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static void Xor(benchmark::Bench& bench)
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{
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FastRandomContext frc{/*fDeterministic=*/true};
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auto data{frc.randbytes<std::byte>(1024)};
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auto key{frc.randbytes<std::byte>(31)};
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FastRandomContext rng{/*fDeterministic=*/true};
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auto test_data{rng.randbytes<std::byte>(1 << 20)};
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bench.batch(data.size()).unit("byte").run([&] {
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util::Xor(data, key);
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std::vector key_bytes{rng.randbytes<std::byte>(8)};
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uint64_t key;
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std::memcpy(&key, key_bytes.data(), 8);
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size_t offset{0};
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bench.batch(test_data.size()).unit("byte").run([&] {
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util::Xor(test_data, key_bytes, offset++);
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ankerl::nanobench::doNotOptimizeAway(test_data);
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});
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}
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