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Titlebook: Scaling OpenMP for Exascale Performance and Portability; 13th International W Bronis R. de Supinski,Stephen L. Olivier,Matthias Conference

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21#
發(fā)表于 2025-3-25 05:05:23 | 只看該作者
Compiling and Optimizing OpenMP 4.X Programs to OpenCL and SPIReed-up scientific and engineering applications. Nevertheless, programming such architectures is a challenging task for most non-expert programmers as typical accelerator programming languages (e.g. CUDA and OpenCL) demand a thoroughly understanding of the underlying hardware to enable an effective a
22#
發(fā)表于 2025-3-25 10:02:28 | 只看該作者
Extending OpenMP SIMD Support for Target Specific Code and Application to ARM SVEmance of the target architecture. The latest OpenMP specification provides new directives which help compilers produce better code for SIMD auto-vectorization. However, it is hard to optimize the SIMD code performance in OpenMP since the target SIMD code generation mostly relies on the compiler impl
23#
發(fā)表于 2025-3-25 12:28:01 | 只看該作者
OpenMP Tasking and MPI in a Lattice QCD BenchmarkOpenMP tasking and one with hand-coded “untasking”. We achieve better overlap of MPI communication and computation with both methods, and expose some performance issues in OpenMP tasking. Both task-based implementations outperform the original implementation when strong scaling.
24#
發(fā)表于 2025-3-25 19:05:45 | 只看該作者
25#
發(fā)表于 2025-3-25 20:11:41 | 只看該作者
Porting VASP from MPI to MPI+OpenMP [SIMD]e leveraging the three relevant levels of parallelism to be addressed when optimizing for an effective execution on modern computer platforms: multiprocessing, multithreading and SIMD vectorization. To achieve code portability, we draw on MPI parallelization together with OpenMP threading and SIMD c
26#
發(fā)表于 2025-3-26 00:53:58 | 只看該作者
27#
發(fā)表于 2025-3-26 07:17:24 | 只看該作者
28#
發(fā)表于 2025-3-26 11:08:20 | 只看該作者
29#
發(fā)表于 2025-3-26 14:43:10 | 只看該作者
Adaptive and Architecture-Independent Task Granularity for Recursive Applicationsess of identifying units of work increased as well. With the approach of tasking models, this want has been satisfied. These models make scheduling units of work much more user-friendly. However, with the arrival of tasking models, came granularity management. Discovering an application’s optimal gr
30#
發(fā)表于 2025-3-26 17:46:01 | 只看該作者
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