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atom | benchmark | |
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6 | 19 | |
265 | 8,389 | |
- | 1.8% | |
0.0 | 8.8 | |
almost 7 years ago | 9 days ago | |
Haskell | C++ | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
atom
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[ANNOUNCE] GHC 9.6.1-alpha1 is now available
Atom and Copilot for using Haskell to generate C for microcontrollers.
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Atom: An EDSL for embedded hard realtime applications
There seems to be a little more information on its github page: https://github.com/tomahawkins/atom
- Don’t Be Scared Of Functional Programming
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Do You Know Where Haskell Is Used?
Eaton is a manufacturer of electrical and hydraulic equipment, as well as components for the aviation and automotive sectors. The company is using Haskell for day-to-day tasks such as scripting, hardware simulation, remote control tools for vehicle systems, etc. However, the most interesting thing is that they have entrusted hydraulic elements to the control of code written in Atom DSL, which is also implemented in Haskell. Atom is used to develop hard real-time systems and allows describing declaratively the system state transition rules. During compilation, the tasks are scheduled, which is why the resulting code has a deterministic execution time and constant memory consumption. This makes verification of the obtained code much easier and generally increases the system security, which is, of course, very important in this subject domain. You can read about all this in more detail on the slides and in the Atom repository.
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Haskell @ Tesla
Do you use atom or some other free software framework for generating the firmware?
benchmark
- How can I check the execution time of a program rendered in SFML?
- How to Perf profile functions?
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how do you properly benchmark?
I'm aware of one by Google that I used a couple times, but IMO it's better to capture real runtime data from a fully-operational process than to carve out the benchmarkable bits and test them in isolation, so I track information during program testing and print it all to a log instead of using things like that.
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Benchmarking my data structure
If you just want to do some quick benchmarks, you can just use std::chrono::high_resolution_clock::now(). Call it before the code that you are benchmarking and then immediately after. Take them away and you have your duration. If you want to use a proper benchmarking tool then I can totally recommend Google Benchmark. Fantastic benchmarking tool. Honourable mention would be Quick Bench which is an online tool that uses Google Benchmark.
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Google benchmark : No rule to make Target***
I tried to install google benchmark(https://github.com/google/benchmark) in my ubuntu machine by :
- Best accurate way to measure/compare elapsed time in C++
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Don’t Be Scared Of Functional Programming
We don't know if it's a lie until we verify it and that's not difficult, you have a quicksort implementation in a couple of languages, you'll need to pass the necessary parameters to show the time needed by a function call to execute to the compiler or interpreter or you may use use a library(like benchmark for C++) and you're good to go.
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How to identify inefficient method calls?
If you are uncertain about the performance characteristics of a function you should ALWAYS benchmark it. Googles Benchmark library is wonderful for quick micro benchmarks. For more complex things, perhaps look into profiling and then look at invocation counts of copy constructors.
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Is there any fast allocator in std lib / boost for fixed size objects (not at compile time) but has deallocation methods?
Your compiler may be optimising away your loop, there. I typically use a micro-benchmarking tool for these types of tests. You could try Google Benchmark. It’s available in most OS’ package managers, but pretty easy to build from source if not
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Calculate Your Code Performance
C++: C++ has quite a number of benchmarking libraries some of the recent ones involving C++ 20's flexibility. The most notable being Google Bench and UT. C does not have many specific benchmarking libraries, but you can easily integrate C code with C++ benchmarking libraries in order to test the performance of your C code.
What are some alternatives?
verilog - A Verilog parser for Haskell.
Catch - A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
atom-msp430 - Definitions for using Atom with the MSP430 microcontroller family.
Google Test - GoogleTest - Google Testing and Mocking Framework
ion - An Ivory library inspired by Atom
Celero - C++ Benchmark Authoring Library/Framework
HVM - A massively parallel, optimal functional runtime in Rust
hayai - C++ benchmarking framework
processor-creative-kit - haskell prrocessor-creative-kit
Nonius - A C++ micro-benchmarking framework
fault-tree - A fault tree analysis library.
easy_profiler - Lightweight profiler library for c++