Dynamic parallelism numba
Missing CUDA Features¶. Numba does not implement all features of CUDA, yet. Some missing features are listed below: dynamic parallelism; texture memory. ,(*) Note: newer CUDA devices support device-side kernel launching; this feature is called dynamic parallelism but Numba does not support it currently) ...
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 Dynamic parallelism numba 相關參考資料
3.1. Overview — Numba 0.20.0 documentation
3.1.4. Missing CUDA Features¶. Numba does not implement all features of CUDA, yet. Some missing features are listed below: dynamic parallelism ... http://numba.pydata.org 3.1. Overview - Numba
Missing CUDA Features¶. Numba does not implement all features of CUDA, yet. Some missing features are listed below: dynamic parallelism; texture memory. http://numba.pydata.org Writing CUDA Kernels - Numba
(*) Note: newer CUDA devices support device-side kernel launching; this feature is called dynamic parallelism but Numba does not support it currently) ... https://numba.pydata.org Automatic parallelization with @jit - Numba
Setting the parallel option for jit() enables a Numba transformation pass that attempts to automatically parallelize and perform other optimizations on ... https://numba.pydata.org Writing CUDA Kernels — Numba 0.50.1 documentation
(*) Note: newer CUDA devices support device-side kernel launching; this feature is called dynamic parallelism but Numba does not support it currently) ... https://numba.pydata.org The Threading Layers — Numba 0.50.1 documentation
Any library in use with these forms of parallelism must exhibit safe behaviour under the ... The number of threads can be set dynamically at runtime using ... https://numba.pydata.org Overview — Numba 0.50.1 documentation
Missing CUDA Features¶. Numba does not implement all features of CUDA, yet. Some missing features are listed below: dynamic parallelism. texture memory. https://numba.pydata.org Untyped global name 'child_launch' when using CUDA ...
2018年7月4日 — Numba does not implement all features of CUDA, yet. Some missing features are listed below: dynamic parallelism; texture memory. https://stackoverflow.com Linear algebra in a @cuda.jit decorated function #4186 - GitHub
2019年6月15日 — If dynamic parallelism is added to numba, could these cuBLAS functions be used from within a kernel? Also, are there libraries in CUDA C/C++ ... https://github.com |