{"title":"重新审视并行处理组合对象的模式","authors":"C. Trefftz, J. Scripps","doi":"10.1109/IPDPSW.2013.123","DOIUrl":null,"url":null,"abstract":"The unrank pattern to process combinatorial objects in parallel is revisited. The pattern is applied to find, in parallel, solutions to a restricted version of the community finding problem on small graphs. Performance results obtained on a shared memory machine, a cluster of workstations and a Graphical Processing Unit (GPU) are included.","PeriodicalId":234552,"journal":{"name":"2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Revisiting a Pattern for Processing Combinatorial Objects in Parallel\",\"authors\":\"C. Trefftz, J. Scripps\",\"doi\":\"10.1109/IPDPSW.2013.123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The unrank pattern to process combinatorial objects in parallel is revisited. The pattern is applied to find, in parallel, solutions to a restricted version of the community finding problem on small graphs. Performance results obtained on a shared memory machine, a cluster of workstations and a Graphical Processing Unit (GPU) are included.\",\"PeriodicalId\":234552,\"journal\":{\"name\":\"2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPDPSW.2013.123\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW.2013.123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Revisiting a Pattern for Processing Combinatorial Objects in Parallel
The unrank pattern to process combinatorial objects in parallel is revisited. The pattern is applied to find, in parallel, solutions to a restricted version of the community finding problem on small graphs. Performance results obtained on a shared memory machine, a cluster of workstations and a Graphical Processing Unit (GPU) are included.