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Talk:GPU
,→Legacy GPGPU
== Nvidia architectures ==
Nevertheless, my own conclusions are:
* Tesla has 8 wide SIMD, executing a Warp of 32 threads over 4 cycles. * Fermi has 16 wide SIMD, executing a Warp of 32 threads over 2 cycles. * Kepler is somehow odd, not sure how the compute units are partitioned. * Maxwell and Pascal have 32 wide SIMD, executing a Warp of 32 threads over 1 cycle. * Volta and Turing seem to have 16 wide FPU SIMDs, but my own experiments show 32 wide VALU. [[User:Smatovic|Smatovic]] ([[User talk:Smatovic|talk]]) 10:17, 22 April 2021 (CEST) == SIMD + Scalar Unit == It seems every SIMD unit has one scalar unit on GPU architectures, executing things like branch-conditions or special functions the SIMD ALUs are not capable of. [[User:Smatovic|Smatovic]] ([[User talk:Smatovic|talk]]) 20:21, 22 April 2021 (CEST) == embedded CPU controller == It is not documented in the whitepapers, but it seems that every discrete GPU has an embedded CPU controller (e.g. Nvidia Falcon) who (speculation) launches the kernels. [[User:Smatovic|Smatovic]] ([[User talk:Smatovic|talk]]) 10:36, 22 April 2021 (CEST) == GPUs and Duncan's taxonomy ==It is not clear to me how the underlying hardware of GPU SIMD units of architectures with unified shader architecture is realized by different vendors, there is the concept of bit-sliced ALUs, there is the concept of pipelined vector processors, there is the concept of SIMD units with fix bit-width ALUs. The white papers from different vendors leave room for speculation, the different instruction throughputs for higher precision and lower precision too, what is left to the programmer is to do microbenchmarking and make conclusions on their own. https://en.wikipedia.org/wiki/Duncan%27s_taxonomy https://en.wikipedia.org/wiki/Flynn%27s_taxonomy [[User:Smatovic|Smatovic]] ([[User talk:Smatovic|talk]]) 13:58, 16 December 2021 (CET) == CPW GPU article == A suggestion of mine, keep this GPU article as an generalized overview of GPUs, with incremental updates for different frameworks and architectures. GPUs and GPGPU is a moving target with different platforms offering new feature sets, better open own articles for things like GPGPU, SIMT, CUDA, ROCm, oneAPI, Metal or simply link to Wikipedia containing the newest specs and infos. [[User:Smatovic|Smatovic]] ([[User talk:Smatovic|talk]]) 21:29, 27 April 2021 (CEST)