nanobench
coz
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nanobench | coz | |
---|---|---|
13 | 18 | |
1,301 | 3,819 | |
- | 2.0% | |
5.0 | 6.0 | |
8 months ago | 8 days ago | |
C++ | C | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nanobench
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The issue of unit tests and performance measurements (Benchmark)
An alternative is tracking the number of instructions a test executes: https://github.com/martinus/nanobench
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how do you properly benchmark?
Nano bench is a great library with low overhead. https://github.com/martinus/nanobench
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Much Faster than std::string, fmt::format, std::to_chars, std::time and more?
I've done a relatively simple test of taking random doubles (between 0 and 1), converting them to a C string via std::to_chars and then converting that C string back to a double via std::from_chars vs his xeerx::chars_to and got the following results on my machine via nanobench:
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Can you give an example of well-designed C++ code, and explain why you think it is so?
I like https://nanobench.ankerl.com/
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Best accurate way to measure/compare elapsed time in C++
Of course, the best way to benchmark is nanobench: https://nanobench.ankerl.com/
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The 23 year-old C++ developers with three job offers over $500k
I've created robin-hood-hashing and nanobench, and recently made some contributions to Bitcoin and doxygen
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I don’t know which container to use (and at this point I’m too afraid to ask)
Right. Regex runtime construction is known to be slow, so ideally the state machinery construction is built at compile time (boost.xpressive, ctre). Also, boost.regex is faster than most of the std implementations if compile time isn’t possible. And if that’s no good rewrite without regex. Since it sounds like it’s all encapsulated at least it would be easy to measure the options. These days I use this one to compare https://nanobench.ankerl.com/
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I'm writing a microbenchmarking library called "precision" without any macros. What do you guys think of the API?
You can check the API of nanobench which also doesn't use macros, as far as I have used it.
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C++20 std::format is 2x slower than std::fstream?
I've tried again with your latest changes and decided to use https://github.com/martinus/nanobench for a better benchmark and got the following output:
- Nanobench: Fast, Accurate, Single-Header Microbenchmarking Functionality For C++
coz
- Coz: Causal Profiling
- Coz: Finding code that counts with causal profiling
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Why is SwitchToThread using so many resources?
But let's take the guesswork out of profilers. Use Coz. It's a causal profiler that performs experiments to determine what code would see the greatest performance improvement of the whole program if made faster. There's a video in the link; I think the best demonstration they had was a program that saw the greatest improvement by optimizing a function that ranked #30 by a sampling profiler.
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Performance analysing tools
Coz. It's in a Debian package so you don't have to build it. Watch the video embedded in the page I linked; I;m all about profiling, but the devil is if you're not a statistician, you don't know how to read profiler results.
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How much does Rust's bounds checking actually cost?
I think https://github.com/plasma-umass/coz solves most problems related to noise in benchmarks.
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Why would introducing a panic cause a 20% performance increase
Perhaps you're thinking of the coz profiler (https://github.com/plasma-umass/coz)?
- Coz: Finding Code That Counts with Causal Profiling
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Ask HN: Has anyone used Coz for casual profiling?
I was thinking of doing some kernel profiling, and stumbled upon this interesting repo: https://github.com/plasma-umass/coz
I'm pretty intrigued by the concept, and was wondering if anyone here tried out Coz.
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Best accurate way to measure/compare elapsed time in C++
https://github.com/plasma-umass/coz https://youtu.be/7g1Acy5eGbE
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Performance variation when moving functions between files
Could it be an issue of binary layout? Have a look at the coz profiler which has a rust port.
What are some alternatives?
benchmark - A microbenchmark support library
Sampling Profiler for Python - Simple Python sampling profiler
fast_io - C++20 Concepts IO library which is 10x faster than stdio and iostream
php-spx - A simple & straight-to-the-point PHP profiling extension with its built-in web UI
robin-hood-hashing - Fast & memory efficient hashtable based on robin hood hashing for C++11/14/17/20
stabilizer - Stabilizer: Rigorous Performance Evaluation (llvm-12 fork)
curl4cpp - Single header cURL wrapper for C++ around libcURL
nng - nanomsg-next-generation -- light-weight brokerless messaging
ut - C++20 μ(micro)/Unit Testing Framework
zmqpp - 0mq 'highlevel' C++ bindings
bench-rest - bench-rest - benchmark REST (HTTP/HTTPS) API's. node.js client module for easy load testing / benchmarking REST API's using a simple structure/DSL can create REST flows with setup and teardown and returns (measured) metrics.
MTuner - MTuner is a C/C++ memory profiler and memory leak finder for Windows, PlayStation 4 and 3, Android and other platforms