{"title":"Early experience with object-oriented message driven computing","authors":"T. Christopher","doi":"10.1109/FMPC.1990.89503","DOIUrl":null,"url":null,"abstract":"A model of parallel computation, message-driven computing (MDC), is presented, along with a language OOMDC/C that implements it. OOMDC/C is an object-oriented version of MDC that has been implemented in a sequential version and in two parallel versions on the Encore multiprocessor, one holding the messages in shared memory and the other copying the messages between processes. It is shown that the model facilitates the use of a variety of parallel data and control structures, including Actors, distributed arrays, communicating processes, remote procedure calls, broadcast and accumulation, data flow graphs, l-structures, streams, active messages, and demand-driven dynamic programming.<<ETX>>","PeriodicalId":193332,"journal":{"name":"[1990 Proceedings] The Third Symposium on the Frontiers of Massively Parallel Computation","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1990 Proceedings] The Third Symposium on the Frontiers of Massively Parallel Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FMPC.1990.89503","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
A model of parallel computation, message-driven computing (MDC), is presented, along with a language OOMDC/C that implements it. OOMDC/C is an object-oriented version of MDC that has been implemented in a sequential version and in two parallel versions on the Encore multiprocessor, one holding the messages in shared memory and the other copying the messages between processes. It is shown that the model facilitates the use of a variety of parallel data and control structures, including Actors, distributed arrays, communicating processes, remote procedure calls, broadcast and accumulation, data flow graphs, l-structures, streams, active messages, and demand-driven dynamic programming.<>