gfr
gpu-kernel-runner
gfr | gpu-kernel-runner | |
---|---|---|
1 | 1 | |
61 | 18 | |
- | - | |
0.0 | 6.7 | |
over 2 years ago | 10 days ago | |
C++ | C++ | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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gfr
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Wiki page that lists potential reasons why you're getting a Device Lost error
I am using this on Stadia for my job: https://github.com/googlestadia/gfr , it should work on PC too, this can be better in some situations and works on AMD too.
gpu-kernel-runner
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How Jensen Huang's Nvidia Is Powering the A.I. Revolution
> but all the alternatives require significant redesign in languages and tools people are unfamiliar with and we can't afford that overhead
Where I work, we've made it a principle to stay OpenCL-compatible even while going with NVIDIA due to their better-performing GPUs. I even go as far as writing kernels that can be compiled as either CUDA C++ or OpenCL-C, with a bit of duct-tape adapter headers:
https://github.com/eyalroz/gpu-kernel-runner/blob/main/kerne...
https://github.com/eyalroz/gpu-kernel-runner/blob/main/kerne...
of course, if you're working with higher-level frameworks then it's more difficult, and you depend on whether or not they provided different backends. So, no thrust for AMD GPUs, for example, but pytorch and TensorFlow do let you use them.
What are some alternatives?
apitrace - Tools for tracing OpenGL, Direct3D, and other graphics APIs
BabelStream - STREAM, for lots of devices written in many programming models
3d-game-shaders-for-beginners - 🎮 A step-by-step guide to implementing SSAO, depth of field, lighting, normal mapping, and more for your 3D game.
ArrayFire - ArrayFire: a general purpose GPU library.
ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!