expected
Thrust
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18 | 4 | |
1,402 | 4,839 | |
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2.1 | 6.9 | |
4 months ago | 3 months ago | |
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expected
- Functional Programming in Modern C++: The Imperatives Must Go ā Victor Ciura [video]
- Functional exception-less error handling with C++23's optional and expected
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C++23's New Fold Algorithms - C++ Team Blog
On this topic Sy Brand is a guarantee, in fact he did the https://github.com/TartanLlama/expected and several presentation of the subject.
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What is the status of the monadic operations for std::expected? It seems like they made it into the standard for C++23, but they don't actually seem to be available in the std::expected implementation (in MSVC's STL)
In the meantime, I may use the TartanLlama implementation (here) and plan around replacing it with the real deal in the near future.
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ADSP Episode 114: Rust, Val, Carbon, ChatGPT & Errors with Barry Revzin!
Sy Brand's tl::expected
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Daily bit(e) of C++ | Error handling
expected is my favourite little part of cpp23, Iām using it often in codebase with https://github.com/TartanLlama/expected š
- Noticing the the difference in coding when going back to C++
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What are some cool modern libraries you enjoy using?
outcome and/or expected
- Do you use builder pattern?
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Why should I have written ZeroMQ in C, not C++ (2012)
Eventually you'll be able to use std::expected in C++23!
https://en.cppreference.com/w/cpp/header/expected
Don't throw exceptions, require the caller to handle errors and propagate them up the stack (everything returns an expected) if they cannot be handled. You are forced to model the error domains instead of just throwing an exception and assuming the caller knows to catch it and do something with it.
Java has checked exceptions, but, Kotlin decided to abandon them.
The nice codebases I have worked on stick to the Result type in Swift or Kotlin. And thus you are forced to 'translate' errors (exceptions?) as described in Alan Griffith's 'Exceptional Java'.
https://accu.org/journals/overload/10/48/griffiths_406/
"If a checked exception is thrown (to indicate an operation failure) by a method in one package it is not to be propagated by a calling method in a second package. Instead the exception is caught and "translated". Translation converts the exception into: an appropriate return status for the method, a checked exception appropriate to the calling package or an unchecked exception recognised by the system. (Translation to another exception type frequently involves "wrapping".)"
If you can't wait for C++23, there's a single header implementation here.
https://github.com/TartanLlama/expected
Thrust
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AMD's CDNA 3 Compute Architecture
this is frankly starting to sound a lot like the ridiculous "blue bubbles" discourse.
AMD's products have generally failed to catch traction because their implementations are halfassed and buggy and incomplete (despite promising more features, these are often paper features or career-oriented development from now-departed developers). all of the same "developer B" stuff from openGL really applies to openCL as well.
http://richg42.blogspot.com/2014/05/the-truth-on-opengl-driv...
AMD has left a trail of abandoned code and disappointed developers in their wake. These two repos are the same thing for AMD's ecosystem and NVIDIA's ecosystem, how do you think the support story compares?
https://github.com/HSA-Libraries/Bolt
https://github.com/NVIDIA/thrust
in the last few years they have (once again) dumped everything and started over, ROCm supported essentially no consumer cards and rotated support rapidly even in the CDNA world. It offers no binary compatibility support story, it has to be compiled for specific chips within a generation, not even just "RDNA3" but "Navi 31 specifically". Etc etc. And nobody with consumer cards could access it until like, six months ago, and that still is only on windows, consumer cards are not even supported on linux (!).
https://geohot.github.io/blog/jekyll/update/2023/06/07/a-div...
This is on top of the actual problems that still remain, as geohot found out. Installing ROCm is a several-hour process that will involve debugging the platform just to get it to install, and then you will probably find that the actual code demos segfault when you run them.
AMD's development processes are not really open, and actual development is silo'd inside the company with quarterly code dumps outside. The current code is not guaranteed to run on the actual driver itself, they do not test it even in the supported configurations.
it hasn't got traction because it's a low-quality product and nobody can even access it and run it anyway.
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Parallel Computations in C++: Where Do I Begin?
For a higher level GPU interface, Thrust provides "standard library"-like functions that run in parallel on the GPU (Nvidia only)
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What are some cool modern libraries you enjoy using?
For GPGPU, I like thrust. C++-idiomatic way of writing CUDA code, passing between host and device, etc.
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A vision of a multi-threaded Emacs
Users should work with higher level primitives like tasks, parallel loops, asynchronous functions etc. Think TBB, Thrust, Taskflow, lparallel for CL, etc.
What are some alternatives?
libCat - šāā¬ A runtime for C++26 w/out libC or POSIX. Smaller binaries, only arena allocators, SIMD, stronger type safety than STL, and value-based errors!
CUB - THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
AECforWebAssembly - A port of ArithmeticExpressionCompiler from x86 to WebAssembly, so that the programs written in the language can run in a browser. The compiler has been rewritten from JavaScript into C++.
ArrayFire - ArrayFire: a general purpose GPU library.
cpp-libp2p - C++17 implementation of libp2p
Boost.Compute - A C++ GPU Computing Library for OpenCL
magnum - Lightweight and modular C++11 graphics middleware for games and data visualization
HPX - The C++ Standard Library for Parallelism and Concurrency
stb - stb single-file public domain libraries for C/C++
moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
PEGTL - Parsing Expression Grammar Template Library
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System