AusStockChecker
ILGPU
| AusStockChecker | ILGPU | |
|---|---|---|
| 1 | 12 | |
| 8 | 1,359 | |
| - | - | |
| 0.0 | 8.5 | |
| about 3 years ago | 2 days ago | |
| C# | C# | |
| MIT License | GNU General Public License v3.0 or later |
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AusStockChecker
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Rtx 3080 Stock Order Updates Megathread
no idea if this is ok to post this here, but should relate to stock levels. hopefully this might help others assuming you have the know-how: https://github.com/DeathCradle/AusStockChecker
ILGPU
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My negative views on Rust (2023)
> https://github.com/m4rs-mt/ILGPU/releases/tag/v1.5.1
> Sept 2023.
you guys just don't get it - there's a reason why CUDA is a dialect of C/C++ and not C# and it's not because the engineers at NVIDIA have just never heard of C#.
- .Net high performance computing
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Ilgpu: Write GPU programs with C# and F#
Given IL itself is an abstract stack-based bytecode, it can be compiled to the corresponding IR, which can then target corresponding back-end - this is what ILGPU does.
C# (and F# by extension) also allows to write system-ish code, with references to locals and same C primitives, which means that you're not sacrificing in performance by having the language be higher-level. After all, you're using ILGPUs APIs first and foremost.
It also lets you do things like PTX assembly (learned about it today, haven't seen that sample before): https://github.com/m4rs-mt/ILGPU/blob/master/Samples/InlineP...
- Bend: The first high-level language that runs natively on GPUs (via HVM2)
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ILGPU VS ComputeSharp - a user suggested alternative
2 projects | 27 Oct 2023
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CUDA integration for C#
I've had a good experience with ILGPU: clean API, loads of samples, nice community. Apologies for a shameless plug, but I used it in one of my projects and happened to write a blog post about it: https://timiskhakov.github.io/posts/computing-the-convex-hull-on-gpu. Hope it helps!
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Is there a way to utilize the gpu in a C# program?
https://github.com/Sergio0694/ComputesSharp is always being recommended to me. But I also just found this one https://github.com/m4rs-mt/ILGPU which looks very interesting. There are a lot of libraries which allow you to execute on the gpu
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Is there a way to run metal shaders on CPU threads?
I would checkout the github for more details, or ask on the discord for more specifics, but all the kernels are compiled into IL by the C# compiler, then at runtime the ILGPU compiler converts them from IL into PTX, OpenCL, or back into IL (in a special way to maintain thread grouping and stuff). Then PTX / OpenCL /IL is compiled and run using the respective runtimes. Cuda for PTX, the OpenCL runtime for OpenCL, and .net for IL. We have talked about creating a CPU execution path that tries to match speeds with CPU code, but I do not think it is a big priority.
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What is ILGPU | Links | FAQ
Github repo
What are some alternatives?
novideo_srgb - Calibrate monitors to sRGB or other color spaces on NVIDIA GPUs, based on EDID data or ICC profiles
CUDAfy.NET - CUDAfy .NET allows easy development of high performance GPGPU applications completely from the .NET. It's developed in C#.
ZenTimings
NvAPIWrapper - NvAPIWrapper is a .Net wrapper for NVIDIA public API, capable of managing all aspects of a display setup using NVIDIA GPUs
PS3Tools - Open Source PlayStation Tools
arisen-studio - Browse, Download and Install Mods for PlayStation 3 & Xbox 360
Hybridizer - Examples of C# code compiled to GPU by hybridizer
Play - Free and open source singing game with song editor for desktop, mobile, and smart TV
Amplifier.NET - Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.
GPSaveConverter - Utility to transfer save files between the games installed from the Xbox app and other storefronts. https://ko-fi.com/fr33dan
arrayfire-rust - Rust wrapper for ArrayFire