{"title":"基于ilp的SPM分配优化的实际挑战","authors":"Dominic Oehlert, Arno Luppold, H. Falk","doi":"10.1145/2906363.2906371","DOIUrl":null,"url":null,"abstract":"Scratchpad Memory (SPM) allocation is a well-known technique for compiler-based code optimizations. Integer-Linear Programming has been proven to be a powerful technique to determine which parts of a program should be moved to the SPM. Although the idea is quite straight-forward in theory, the technique features several challenges when being applied to modern embedded systems. In this paper, we aim to bring out the main issues and possible solutions which arise when trying to apply those optimizations to existing hardware platforms.","PeriodicalId":344390,"journal":{"name":"Proceedings of the 19th International Workshop on Software and Compilers for Embedded Systems","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Practical Challenges of ILP-based SPM Allocation Optimizations\",\"authors\":\"Dominic Oehlert, Arno Luppold, H. Falk\",\"doi\":\"10.1145/2906363.2906371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scratchpad Memory (SPM) allocation is a well-known technique for compiler-based code optimizations. Integer-Linear Programming has been proven to be a powerful technique to determine which parts of a program should be moved to the SPM. Although the idea is quite straight-forward in theory, the technique features several challenges when being applied to modern embedded systems. In this paper, we aim to bring out the main issues and possible solutions which arise when trying to apply those optimizations to existing hardware platforms.\",\"PeriodicalId\":344390,\"journal\":{\"name\":\"Proceedings of the 19th International Workshop on Software and Compilers for Embedded Systems\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 19th International Workshop on Software and Compilers for Embedded Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2906363.2906371\",\"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 19th International Workshop on Software and Compilers for Embedded Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2906363.2906371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Practical Challenges of ILP-based SPM Allocation Optimizations
Scratchpad Memory (SPM) allocation is a well-known technique for compiler-based code optimizations. Integer-Linear Programming has been proven to be a powerful technique to determine which parts of a program should be moved to the SPM. Although the idea is quite straight-forward in theory, the technique features several challenges when being applied to modern embedded systems. In this paper, we aim to bring out the main issues and possible solutions which arise when trying to apply those optimizations to existing hardware platforms.
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