threadx
Thrust
threadx | Thrust | |
---|---|---|
13 | 4 | |
2,431 | 4,839 | |
- | - | |
0.0 | 6.9 | |
4 months ago | 3 months ago | |
C | C++ | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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threadx
- Bill Lamie: Story of a man and his real-time operating systems
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Microsoft opens sources ThreadX RTOS used in Raspberry Pis
It is not open source. The source code is open but with an evaluation, i.e. proprietary license:
https://github.com/azure-rtos/threadx/blob/master/LICENSE.tx...
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Eclipse ThreadX
License looked alright, until I came across this: https://github.com/azure-rtos/threadx/blob/a8e5d0946c31385ff...
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PlatformIO and Zephyr is a bad idea
Portability, mainly. Zephyr runs on a wide variety of architectures and 450+ variations of popular boards are already supported upstream (adding more often being pretty easy). In your particular example, your own preferences with regards to building on top of open-source software may play a role too. For example, Azure RTOS is not open source, and its license will, among other things, prevent you to use it in production on other hardware than what's listed herehere. So easily moving from one hardware vendor / SoC to the other might be a problem, should this be a requirement (and it kind of becomes one for a lot of people in these times if silicon shortage)
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Linux vs. QNX/VxWorks for a climate control system - Education
Honestly as long as you use one of the supported MCU families ThreadX is probably a better choice these days given how much better NetX is over FreeRTOS’ TCP implementation.
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As a guess, what percentage of embedded projects actually need the R in RTOS?
Azure RTOS/ThreadX is only free on approved pre-licensed uCs, but with that said, there's a ton of devices covered by it so it's an option for a lot of projects.
- Using FreeRTOS Compatibility Kit with AZURE RTOS on STM32F7
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What are some cool modern libraries you enjoy using?
I'm interested in something equivalent to tx_byte_pool but for non-embedded usage where I want a custom allocator for defined pools. Do you know if mimalloc can do this? I see it has custom heaps, but I didn't see any functions to create one from raw memory.
- FreeRTos with SMP and the Zynq processor
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Thoughts? They look great though!
source is apparently available but no idea what licensing it uses
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.