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Any such books, courses etc will be much appreciated.
Great book series on the subject of HPC. Not sure if it actually touches GPU. Great material anyway. BONUS: it's free!
From there, hopefully you'll have the intuition to actually evaluate whether a given resource being recommended here is any good.
SPIR-V is important in the compute shader space, especially because DXIL and Metal's AIR are similar. I'm going to link three articles critical of SPIR-V: [3], [4], [5].
WebGPU [6] is interesting for a number of reasons, largely because they're trying to actually nail down the semantics, and also make it safe (see the uniformity analysis [7] in particular, which is a very "compiler" approach to a GPU-specific problem). Both Tint and naga projects are open source, with lots of high quality discussion in the issue trackers.
Shader languages suck, and we really need a good one. Promising approaches are Circle [8] (which is C++ based, very advanced but not open source), and Slang [9] (an evolution of HLSL). The Vcc work (also related to [4]) is worth studying.
Best of luck! This is a fascinating, if frustrating, space, and there's lots of room to improve things.
[1]: https://www.gfxstrand.net/faith/blog/
[1a]: https://www.collabora.com/news-and-blog/blog/2024/04/25/re-c...
[2]: https://mastodon.gamedev.place/@gfxstrand
[3]: https://kvark.github.io/spirv/2021/05/01/spirv-horrors.html
[4]: https://xol.io/blah/the-trouble-with-spirv/
[5]: https://themaister.net/blog/2022/08/21/my-personal-hell-of-t...
[6]: https://github.com/gpuweb/gpuweb
[7]: https://www.w3.org/TR/2022/WD-WGSL-20220505/#uniformity-over...
1. play around with the NVPTX LLVM backend and/or try compiling CUDA with Clang,
2. get familiar with the PTX ISA,
3. play around with ptxas + nvdisasm.
Multiflow still has some relevant ideas [2]
Programming on Parallel Machines: GPU, Multicore, Clusters and More. Gives you a look at some of the issues [3]
SPIRV-VM is a virtual machine for executing SPIR-V shaders [4]
NyuziRaster: Optimizing Rasterizer Performance and Energy in the Nyuzi Open Source GPU [5]
Ocelot is a modular dynamic compilation framework for heterogeneous systems, providing various backend targets for CUDA programs and analysis modules for the PTX virtual instruction set. [6]
glslang is the Khronos-reference front end for GLSL/ESSL, partial front end for HLSL, and a SPIR-V generator.
[1]: https://www.goodreads.com/book/show/83895.Computer_Organizat...
[2]: https://en.wikipedia.org/wiki/Multiflow
[3]: http://heather.cs.ucdavis.edu/parprocbook
[4]: https://github.com/dfranx/SPIRV-VM
[5]: https://www.cs.binghamton.edu/~millerti/nyuziraster.pdf
https://scholarworks.iu.edu/dspace/items/3ab772c9-92c9-4f59-...
Newer editions of Computer Organization and Design: The Hardware Software Interface covers GPUs [1] Multiflow still has some relevant ideas [2] Programming on Parallel Machines: GPU, Multicore, Clusters and More. Gives you a look at some of the issues [3] SPIRV-VM is a virtual machine for executing SPIR-V shaders [4] NyuziRaster: Optimizing Rasterizer Performance and Energy in the Nyuzi Open Source GPU [5] Ocelot is…
Pixel Planes/Pixel Flow [1]
The Geometry Engine: A VLSI Geometry System for Graphics [2]
Tim Purcell's research [3]
BrookGPU [4]
GRAMPS: A Programming Model for Graphics Pipelines [5]
[1]: https://www.cs.unc.edu/~pxfl/
[2]: https://graphics.stanford.edu/courses/cs148-10-summer/docs/1...
[3]: http://graphics.stanford.edu/~tpurcell/