{"title":"Generalisation of Recursive Doubling for AllReduce","authors":"M. Ruefenacht, Mark Bull, S. Booth","doi":"10.1145/2966884.2966913","DOIUrl":null,"url":null,"abstract":"The performance of AllReduce is crucial at scale. The recursive doubling with pairwise exchange algorithm theoretically achieves O(log2 N) scaling for short messages with N peers, but is limited by improvements in network latency. A multi-way exchange can be implemented using message pipelining, which is easier to improve than latency. Using our method, recursive multiplying, we show reductions in execution time of between 8% and 40% of AllReduce on a Cray XC30 over recursive doubling.","PeriodicalId":264069,"journal":{"name":"Proceedings of the 23rd European MPI Users' Group Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd European MPI Users' Group Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2966884.2966913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The performance of AllReduce is crucial at scale. The recursive doubling with pairwise exchange algorithm theoretically achieves O(log2 N) scaling for short messages with N peers, but is limited by improvements in network latency. A multi-way exchange can be implemented using message pipelining, which is easier to improve than latency. Using our method, recursive multiplying, we show reductions in execution time of between 8% and 40% of AllReduce on a Cray XC30 over recursive doubling.