Kevin Williams, Matthew Le, Ted Kaminski, E. V. Wyk
{"title":"A Compiler Extension for Parallel Matrix Programming","authors":"Kevin Williams, Matthew Le, Ted Kaminski, E. V. Wyk","doi":"10.1109/ICPP.2014.56","DOIUrl":null,"url":null,"abstract":"This paper describes a compiler extension to our prototype extensible C translator that adds new features for parallel execution of matrix operations and shows their application to problems in spatio-temporal data mining. The extension provides new language features for constructing new matrices, mapping functions over elements of a matrix, and accumulating operations that, for example, can sum values in a matrix. It also provides the appropriate semantic analysis to check for errors before translating the constructs down to parallel C code. The extension also provides features that let the programmer indicate how the extension translates these matrix constructs down to C code. Programmers seeking higher levels of performance can specify how the underlying for-loops are structured so that code using, for example, loop-tiling techniques or vector processors, is generated. In general, compiler extensions supported by our approach allow new domain-specific syntax and semantic analyses to be easily added to the host language. Specifications of the host C language and the extensions are composed to create a custom translator that maps extended C programs down to plain (parallel) C code, checking for domain-specific errors and applying high-level domain-specific optimizations in the process.","PeriodicalId":441115,"journal":{"name":"2014 43rd International Conference on Parallel Processing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 43rd International Conference on Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.2014.56","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper describes a compiler extension to our prototype extensible C translator that adds new features for parallel execution of matrix operations and shows their application to problems in spatio-temporal data mining. The extension provides new language features for constructing new matrices, mapping functions over elements of a matrix, and accumulating operations that, for example, can sum values in a matrix. It also provides the appropriate semantic analysis to check for errors before translating the constructs down to parallel C code. The extension also provides features that let the programmer indicate how the extension translates these matrix constructs down to C code. Programmers seeking higher levels of performance can specify how the underlying for-loops are structured so that code using, for example, loop-tiling techniques or vector processors, is generated. In general, compiler extensions supported by our approach allow new domain-specific syntax and semantic analyses to be easily added to the host language. Specifications of the host C language and the extensions are composed to create a custom translator that maps extended C programs down to plain (parallel) C code, checking for domain-specific errors and applying high-level domain-specific optimizations in the process.