{"title":"CPU缓存对MPI点对点通信的影响","authors":"Simone Pellegrini, T. Hoefler, T. Fahringer","doi":"10.1109/CLUSTER.2012.22","DOIUrl":null,"url":null,"abstract":"Several researchers investigated the placing of communication calls in message-passing parallel codes. The current rule of thumb it to maximize communication/computation overlap with early binding. In this work, we demonstrate that this is not the only design constraint because CPU caches can have a significant impact on communications. We conduct an empirical study of the interaction between CPU caching and communications for several different communication scenarios. We use the gained insight to formulate a set of intuitive rules for communication call placement and show how our rules can be applied to practical codes. Our optimized codes show an improvement of up to 40% for a simple stencil code. Our work is a first step towards communication optimizations by moving communication calls. We expect that future communication-aware compilers will use our insights as a standard technique to move communication calls in order to optimize performance.","PeriodicalId":143579,"journal":{"name":"2012 IEEE International Conference on Cluster Computing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"On the Effects of CPU Caches on MPI Point-to-Point Communications\",\"authors\":\"Simone Pellegrini, T. Hoefler, T. Fahringer\",\"doi\":\"10.1109/CLUSTER.2012.22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several researchers investigated the placing of communication calls in message-passing parallel codes. The current rule of thumb it to maximize communication/computation overlap with early binding. In this work, we demonstrate that this is not the only design constraint because CPU caches can have a significant impact on communications. We conduct an empirical study of the interaction between CPU caching and communications for several different communication scenarios. We use the gained insight to formulate a set of intuitive rules for communication call placement and show how our rules can be applied to practical codes. Our optimized codes show an improvement of up to 40% for a simple stencil code. Our work is a first step towards communication optimizations by moving communication calls. We expect that future communication-aware compilers will use our insights as a standard technique to move communication calls in order to optimize performance.\",\"PeriodicalId\":143579,\"journal\":{\"name\":\"2012 IEEE International Conference on Cluster Computing\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Cluster Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLUSTER.2012.22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLUSTER.2012.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the Effects of CPU Caches on MPI Point-to-Point Communications
Several researchers investigated the placing of communication calls in message-passing parallel codes. The current rule of thumb it to maximize communication/computation overlap with early binding. In this work, we demonstrate that this is not the only design constraint because CPU caches can have a significant impact on communications. We conduct an empirical study of the interaction between CPU caching and communications for several different communication scenarios. We use the gained insight to formulate a set of intuitive rules for communication call placement and show how our rules can be applied to practical codes. Our optimized codes show an improvement of up to 40% for a simple stencil code. Our work is a first step towards communication optimizations by moving communication calls. We expect that future communication-aware compilers will use our insights as a standard technique to move communication calls in order to optimize performance.