A Case Study for Performance Portability Using OpenMP 4.5

Autor:	Charlene Yang, Thorsten Kurth, Jack Deslippe, Rahulkumar Gayatri
Rok vydání:	2019
Předmět:	Software portability CUDA Xeon Computer science Parallel computing Compiler ComputerSystemsOrganization_PROCESSORARCHITECTURES Software_PROGRAMMINGTECHNIQUES computer.software_genre computer Implementation Xeon Phi
Zdroj:	Accelerator Programming Using Directives ISBN: 9783030122737 WACCPD@SC
Popis:	In recent years, the HPC landscape has shifted away from traditional multi-core CPU systems to energy-efficient architectures, such as many-core CPUs and accelerators like GPUs, to achieve high performance. The goal of performance portability is to enable developers to rapidly produce applications which can run efficiently on a variety of these architectures, with little to no architecture specific code adoptions required. We implement a key kernel from a material science application using OpenMP 3.0, OpenMP 4.5, OpenACC, and CUDA on Intel architectures, Xeon and Xeon Phi, and NVIDIA GPUs, P100 and V100. We will compare the performance of the OpenMP 4.5 implementation with that of the more architecture-specific implementations, examine the performance of the OpenMP 4.5 implementation on CPUs after back-porting, and share our experience optimizing large reduction loops, as well as discuss the latest compiler status for OpenMP 4.5 and OpenACC.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6d23037dc46bcd3434dd761c1739ed1d https://doi.org/10.1007/978-3-030-12274-4_4 Zobrazit plný text záznamu