M. Janjua, M. M. Yasin, Ch. Falak Sher, K. Awan, I. Hassan
{"title":"CEJVM: \"cluster enabled Java Virtual Machine\"","authors":"M. Janjua, M. M. Yasin, Ch. Falak Sher, K. Awan, I. Hassan","doi":"10.1109/CLUSTR.2002.1137771","DOIUrl":null,"url":null,"abstract":"CEJVM is a cluster enabled Java Virtual Machine, which executes in a distributed fashion among collaborating nodes of a dedicated cluster. It extends Java's multithreading mechanism to the parallel computing paradigm by transparent migration of independent application threads modeled in master worker paradigm. The goal is to obtain improved performance for computationally-intensive multi-threaded Java programs without modifying traditional JVM code, Java language or compiler implementation. Deploying a master worker relationship among the nodes in the cluster, CEJVM monitors, packs, transports and resurrects the Java threads on \"Master JVM\" and helper \"Worker JVMs\". Currently, we have created a prototype that runs pure Java applications on the local Ethernet based cluster of Win2K computers. We have achieved appreciable speedup for an ANN training program written in Java (with independent threads) on CEJVM without any modification to the program's source code.","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2002-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE International Conference on Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLUSTR.2002.1137771","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
CEJVM is a cluster enabled Java Virtual Machine, which executes in a distributed fashion among collaborating nodes of a dedicated cluster. It extends Java's multithreading mechanism to the parallel computing paradigm by transparent migration of independent application threads modeled in master worker paradigm. The goal is to obtain improved performance for computationally-intensive multi-threaded Java programs without modifying traditional JVM code, Java language or compiler implementation. Deploying a master worker relationship among the nodes in the cluster, CEJVM monitors, packs, transports and resurrects the Java threads on "Master JVM" and helper "Worker JVMs". Currently, we have created a prototype that runs pure Java applications on the local Ethernet based cluster of Win2K computers. We have achieved appreciable speedup for an ANN training program written in Java (with independent threads) on CEJVM without any modification to the program's source code.
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