{"title":"通过功能重建揭示并行扫描和顺序循环的减少","authors":"Peng Jiang, G. Agrawal","doi":"10.1145/3178487.3178523","DOIUrl":null,"url":null,"abstract":"Many sequential loops are actually scans or reductions and can be parallelized across iterations despite the loop-carried dependences. In this work, we consider the parallelization of such scan/reduction loops, and propose a practical runtime approach called sampling-and-reconstruction to extract the hidden scan/reduction patterns in these loops.","PeriodicalId":193776,"journal":{"name":"Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Revealing parallel scans and reductions in sequential loops through function reconstruction\",\"authors\":\"Peng Jiang, G. Agrawal\",\"doi\":\"10.1145/3178487.3178523\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many sequential loops are actually scans or reductions and can be parallelized across iterations despite the loop-carried dependences. In this work, we consider the parallelization of such scan/reduction loops, and propose a practical runtime approach called sampling-and-reconstruction to extract the hidden scan/reduction patterns in these loops.\",\"PeriodicalId\":193776,\"journal\":{\"name\":\"Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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/10.1145/3178487.3178523\",\"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/10.1145/3178487.3178523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Revealing parallel scans and reductions in sequential loops through function reconstruction
Many sequential loops are actually scans or reductions and can be parallelized across iterations despite the loop-carried dependences. In this work, we consider the parallelization of such scan/reduction loops, and propose a practical runtime approach called sampling-and-reconstruction to extract the hidden scan/reduction patterns in these loops.