Tuowen Zhao, Mary W. Hall, P. Basu, Samuel Williams, H. Johansen
{"title":"用于砖分解的模板SIMD代码生成","authors":"Tuowen Zhao, Mary W. Hall, P. Basu, Samuel Williams, H. Johansen","doi":"10.1145/3178487.3178537","DOIUrl":null,"url":null,"abstract":"We present a stencil library and associated compiler code generation framework designed to maximize performance on higher-order stencil computations through the use of two main technologies: a fine-grained brick data layout designed to exploit the inherent multidimensional spatial locality endemic to stencil computations, and a vector scatter associative reordering transformation that reduces vector loads and alignment operations and exposes opportunities for the backend compiler to reduce computation. For a range of stencil computations, we compare the generated code expressed in the brick library to the standard tiled code. We attain up to a 7.2X speedup on the most complex stencils when running on an Intel Knights Landing (Xeon Phi) processor.","PeriodicalId":193776,"journal":{"name":"Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"SIMD code generation for stencils on brick decompositions\",\"authors\":\"Tuowen Zhao, Mary W. Hall, P. Basu, Samuel Williams, H. Johansen\",\"doi\":\"10.1145/3178487.3178537\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a stencil library and associated compiler code generation framework designed to maximize performance on higher-order stencil computations through the use of two main technologies: a fine-grained brick data layout designed to exploit the inherent multidimensional spatial locality endemic to stencil computations, and a vector scatter associative reordering transformation that reduces vector loads and alignment operations and exposes opportunities for the backend compiler to reduce computation. For a range of stencil computations, we compare the generated code expressed in the brick library to the standard tiled code. We attain up to a 7.2X speedup on the most complex stencils when running on an Intel Knights Landing (Xeon Phi) processor.\",\"PeriodicalId\":193776,\"journal\":{\"name\":\"Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3178487.3178537\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3178487.3178537","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SIMD code generation for stencils on brick decompositions
We present a stencil library and associated compiler code generation framework designed to maximize performance on higher-order stencil computations through the use of two main technologies: a fine-grained brick data layout designed to exploit the inherent multidimensional spatial locality endemic to stencil computations, and a vector scatter associative reordering transformation that reduces vector loads and alignment operations and exposes opportunities for the backend compiler to reduce computation. For a range of stencil computations, we compare the generated code expressed in the brick library to the standard tiled code. We attain up to a 7.2X speedup on the most complex stencils when running on an Intel Knights Landing (Xeon Phi) processor.