{"title":"HPSM:一个多cpu和多gpu系统的编程框架","authors":"J. F. Lima, D. D. Domenico","doi":"10.1109/SBAC-PADW.2017.14","DOIUrl":null,"url":null,"abstract":"This paper presents a high-level C++ framework to explore multi-CPU and multi-GPU systems called HPSM. HPSM enables parallel loops and reductions implemented over three parallel backends: Serial, OpenMP (with GCC and libKOMP runtime), and StarPU. We evaluated HPSM development effort with AXPY program, and performance with three parallel benchmarks: N-Body, Hotspot, and CFD solver. The CPU-GPU combination attained better performance than only GPUs for all cases on a CPU-GPU system. Still, our findings provide evidence that NUMA affinity at framework level may produce different results.","PeriodicalId":325990,"journal":{"name":"2017 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"HPSM: A Programming Framework for Multi-CPU and Multi-GPU Systems\",\"authors\":\"J. F. Lima, D. D. Domenico\",\"doi\":\"10.1109/SBAC-PADW.2017.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a high-level C++ framework to explore multi-CPU and multi-GPU systems called HPSM. HPSM enables parallel loops and reductions implemented over three parallel backends: Serial, OpenMP (with GCC and libKOMP runtime), and StarPU. We evaluated HPSM development effort with AXPY program, and performance with three parallel benchmarks: N-Body, Hotspot, and CFD solver. The CPU-GPU combination attained better performance than only GPUs for all cases on a CPU-GPU system. Still, our findings provide evidence that NUMA affinity at framework level may produce different results.\",\"PeriodicalId\":325990,\"journal\":{\"name\":\"2017 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SBAC-PADW.2017.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBAC-PADW.2017.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
HPSM: A Programming Framework for Multi-CPU and Multi-GPU Systems
This paper presents a high-level C++ framework to explore multi-CPU and multi-GPU systems called HPSM. HPSM enables parallel loops and reductions implemented over three parallel backends: Serial, OpenMP (with GCC and libKOMP runtime), and StarPU. We evaluated HPSM development effort with AXPY program, and performance with three parallel benchmarks: N-Body, Hotspot, and CFD solver. The CPU-GPU combination attained better performance than only GPUs for all cases on a CPU-GPU system. Still, our findings provide evidence that NUMA affinity at framework level may produce different results.