63 lines
3.4 KiB
Nim
63 lines
3.4 KiB
Nim
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# Constantine
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# Copyright (c) 2018-2019 Status Research & Development GmbH
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# Copyright (c) 2020-Present Mamy André-Ratsimbazafy
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# Licensed and distributed under either of
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# * MIT license (license terms in the root directory or at http://opensource.org/licenses/MIT).
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# * Apache v2 license (license terms in the root directory or at http://www.apache.org/licenses/LICENSE-2.0).
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# at your option. This file may not be copied, modified, or distributed except according to those terms.
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import
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std/[strformat, strutils],
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../benchmarks/platforms,
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tracer
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# Reporting benchmark result
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# -------------------------------------------------------
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proc reportCli*(metrics: seq[Metadata], flags: string) =
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let name = when SupportsCPUName: cpuName() else: "(name auto-detection not implemented for this CPU family)"
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echo "\nCPU: ", name
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when SupportsGetTicks:
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# https://blog.trailofbits.com/2019/10/03/tsc-frequency-for-all-better-profiling-and-benchmarking/
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# https://www.agner.org/optimize/blog/read.php?i=838
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echo "The CPU Cycle Count is indicative only. It cannot be used to compare across systems, works at your CPU nominal frequency and is sensitive to overclocking, throttling and frequency scaling (powersaving and Turbo Boost)."
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const lineSep = &"""|{'-'.repeat(50)}|{'-'.repeat(14)}|{'-'.repeat(20)}|{'-'.repeat(15)}|{'-'.repeat(17)}|{'-'.repeat(26)}|{'-'.repeat(26)}|"""
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echo "\n"
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echo lineSep
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echo &"""|{"Procedures":^50}|{"# of Calls":^14}|{"Throughput (ops/s)":^20}|{"Time (µs)":^15}|{"Avg Time (µs)":^17}|{"CPU cycles (in billions)":^26}|{"Avg cycles (in billions)":^26}|"""
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echo &"""|{flags:^50}|{' '.repeat(14)}|{' '.repeat(20)}|{' '.repeat(15)}|{' '.repeat(17)}|{"indicative only":^26}|{"indicative only":^26}|"""
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echo lineSep
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for m in metrics:
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if m.numCalls == 0:
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continue
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# TODO: running variance / standard deviation but the Welford method is quite costly.
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# https://nim-lang.org/docs/stats.html / https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Welford's_online_algorithm
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let cumulTimeUs = m.cumulatedTimeNs.float64 * 1e-3
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let avgTimeUs = cumulTimeUs / m.numCalls.float64
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let throughput = 1e6 / avgTimeUs
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let cumulCyclesBillions = m.cumulatedCycles.float64 * 1e-9
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let avgCyclesBillions = cumulCyclesBillions / m.numCalls.float64
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echo &"""|{m.procName:<50}|{m.numCalls:>14}|{throughput:>20.3f}|{cumulTimeUs:>15.3f}|{avgTimeUs:>17.3f}|"""
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echo lineSep
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else:
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const lineSep = &"""|{'-'.repeat(50)}|{'-'.repeat(14)}|{'-'.repeat(20)}|{'-'.repeat(15)}|{'-'.repeat(17)}|"""
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echo "\n"
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echo lineSep
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echo &"""|{"Procedures":^50}|{"# of Calls":^14}|{"Throughput (ops/s)":^20}|{"Time (µs)":^15}|{"Avg Time (µs)":^17}|"""
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echo &"""|{flags:^50}|{' '.repeat(14)}|{' '.repeat(20)}|{' '.repeat(15)}|{' '.repeat(17)}|"""
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echo lineSep
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for m in metrics:
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if m.numCalls == 0:
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continue
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# TODO: running variance / standard deviation but the Welford method is quite costly.
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# https://nim-lang.org/docs/stats.html / https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Welford's_online_algorithm
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let cumulTimeUs = m.cumulatedTimeNs.float64 * 1e-3
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let avgTimeUs = cumulTimeUs / m.numCalls.float64
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let throughput = 1e6 / avgTimeUs
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echo &"""|{m.procName:<50}|{m.numCalls:>14}|{throughput:>20.3f}|{cumulTimeUs:>15.3f}|{avgTimeUs:>17.3f}|"""
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echo lineSep
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