P. Rawat, Martin Kong, Thomas Henretty, Justin Holewinski, Kevin Stock, L. Pouchet, J. Ramanujam, A. Rountev, P. Sadayappan
{"title":"SDSLc: a multi-target domain-specific compiler for stencil computations","authors":"P. Rawat, Martin Kong, Thomas Henretty, Justin Holewinski, Kevin Stock, L. Pouchet, J. Ramanujam, A. Rountev, P. Sadayappan","doi":"10.1145/2830018.2830025","DOIUrl":null,"url":null,"abstract":"Stencil computations are at the core of applications in a number of scientific computing domains. We describe a domain-specific language for regular stencil computations that allows specification of the computations in a concise manner. We describe a multi-target compiler for this DSL, which generates optimized code for GPUa, FPGAs, and multi-core processors with short-vector SIMD instruction sets, considering both low-order and high-order stencil computations. The hardware differences between these three types of architecture prompt different optimization strategies for the compiler. We evaluate the domain-specific compiler using a number of benchmarks on CPU, GPU and FPGA platforms.","PeriodicalId":59014,"journal":{"name":"高性能计算技术","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2015-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"高性能计算技术","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1145/2830018.2830025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27
Abstract
Stencil computations are at the core of applications in a number of scientific computing domains. We describe a domain-specific language for regular stencil computations that allows specification of the computations in a concise manner. We describe a multi-target compiler for this DSL, which generates optimized code for GPUa, FPGAs, and multi-core processors with short-vector SIMD instruction sets, considering both low-order and high-order stencil computations. The hardware differences between these three types of architecture prompt different optimization strategies for the compiler. We evaluate the domain-specific compiler using a number of benchmarks on CPU, GPU and FPGA platforms.