Catthoor, "Polyhedral parallel code generation for CUDA," ACM Trans. Archit. Code Optim., vol. 9, Jan. 2013.Sven Verdoolaege, Juan Carlos Juega, Albert Cohen, Jose´ Ignacio Go´mez, Christian Tenllado, and
PPCG是一个面向CUDA/OpenCL的polyhedral编译器“Polyhedral parallel code generation for CUDA”（TACO 20...
@article{Verdoolaege2013PPCG, author = {Verdoolaege, Sven and Juega, Juan Carlos and Cohen, Albert and G\'{o}mez, Jos{\'e} Ignacio and Tenllado, Christian and Catthoor, Francky}, title = {Polyhedral parallel code generation for CUDA}, journal = {ACM Trans. Archit. Code Optim.}...
例如计算代码中一个instance(语句)运行的次数,或某个array element被写/读的次数,或被写的array elements的个数等。 Polyhedral Parallel Code Generation for CUDA介绍PPCG:一个使用ISL和Polyhedral Compilation,通过分析,分配并行性将C代码转化为高性能CUDA代码的项目 Schedule TreesSchedule Trees介绍Schedule Trees:将...
This article addresses the use of codes from polyhedral compilers with tiled and parallel code designed for CPU processors, automatically generated as source-to-source OpenMP for NVIDIA GPU graphics cards using CUDA. In previous publications, we demonstrated that it is possible to use large language...
For example, setting BACKEND=CLANG enables JIT compilation, while JIT_DEBUG >= 2 allows you to view the schedule and the generated kernels. Setting PARALLEL=8 divides the ScheduleGraph and compiles it in parallel. You may still find the token/ms rate slow, but we're not yet at the stage...
Parallel and heterogeneous computing are growing in audience thanks to the increased performance brought by ubiquitous manycores and GPUs. However, available programming models, like OPENCL or CUDA, are far from being straightforward to use. As a consequence, several automated or semi-automated ...
Palkowski, MarekWest Pomeranian University of Technology in SzczecinSpringer, ChamInternational Conference on Parallel Processing and Applied Mathematics