Bolt
libmill
Bolt | libmill | |
---|---|---|
3 | 2 | |
370 | 2,701 | |
- | - | |
0.0 | 0.0 | |
about 8 years ago | about 3 years ago | |
C++ | C | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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Bolt
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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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High quality OpenCL compute libraries
what I'm saying is there are options on that that make it more likely for what you're looking to exist; I haven't surveyed the existing libs as much but without templates and the integration of single source you're not bound to find libraries to exist; it's why opencl doesn't have those things really; however I name droped the amd targetted OpenCL thrust equivalent - https://github.com/HSA-Libraries/Bolt - I don't know if you can really achieve opencl multi-accelerator compatibility with it though.
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Nvidia in the Valley
OpenCL had a bit of a "second-mover curse" where instead of trying to solve one problem (GPGPU acceleration) it tried to solve everything (a generalized framework for heterogeneous dispatch) and it just kinda sucks to actually use. It's not that it's slower or faster, in principle it should be the same speed when dispatched to the hardware (+/- any C/C++ optimization gotchas of course), but it just requires an obscene amount of boilerplate to "draw the first triangle" (or, launch the first kernel), much like Vulkan.
HIP was supposed to rectify this, but now you're buying into AMD's custom language and its limitations... and there are limitations, things that CUDA can do that HIP can't (texture unit access was an early one - and texture units aren't just for texturing, they're for coalescing all kinds of 2d/3d/higher-dimensional memory access). And AMD has a history of abandoning these projects after a couple years and leaving them behind and unsupported... like their Thrust framework counterpart, Bolt, which hasn't been updated in 8 years now.
https://github.com/HSA-Libraries/Bolt
The old bit about "Vendor B" leaving behind a "trail of projects designed to pad resumes and show progress to middle managers" still reigns absolutely true with AMD. AMD has a big uphill climb in general to shake this reputation about being completely unserious with their software... and I'm not even talking about drivers here.
http://richg42.blogspot.com/2014/05/the-truth-on-opengl-driv...
libmill
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Show HN: A pure C89 implementation of Go channels, with blocking selects
libmill (https://github.com/sustrik/libmill) and libdill (https://github.com/sustrik/libdill) should be similar and probably mentioned.
As far as I understand the differences between CspChan and libmill might be that libmill also implements lightweight tasks (coroutines) and everything that goes with it (IO multiplexing, async timers, etc), while CspChan uses OS threads?
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libmill - Go-style concurrency in C
https://github.com/sustrik/libmill/blob/e8937e624757663f5379...
They wrote a macro (or in this case a set of macros) to transform that into valid C code.
What are some alternatives?
Boost.Compute - A C++ GPU Computing Library for OpenCL
libdill - Structured concurrency in C
Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
A C++14 library for executors - C++ library for executors
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
RaftLib - The RaftLib C++ library, streaming/dataflow concurrency via C++ iostream-like operators
junction - Concurrent data structures in C++
SObjectizer - SObjectizer: it's all about in-process message dispatching!
HPX - The C++ Standard Library for Parallelism and Concurrency
CUB - THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.