A-JUMP, Java通用消息传递的架构

S. Asghar, M. Hafeez, U. A. Malik, Adeel-ur-Rehman, N. Riaz
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引用次数: 7

摘要

如今,人们一直需要更强大的计算能力来解决复杂的问题。随着现代多核集群的发展,高性能计算(HPC)强调了并行性和多线程的重要性。本文提出了一种基于Java的消息传递实现,称为Java通用消息传递体系结构(Architecture for Java Universal message passing, a - jump)。A-JUMP为程序员使用多种编程语言编写并行应用程序提供了灵活性。此外,它还提供了使用不同网络协议进行消息通信的便利。A-JUMP的骨干是促进并行应用开发的HPC总线。它提供了不同硬件资源、通信协议和介质之间的互操作性。HPC总线建立在完善的行业标准之上;Java消息传递服务(JMS)和Java编程语言。在HPC总线中,ActiveMQ以异步方式单独负责通信和消息传递。A-JUMP的通信层与HPC总线实现的其余部分分离,确保通信协议和网络拓扑的任何更改对最终用户保持透明。A-JUMP的组成部分包括;作业调度器、监视、机器注册表和代码迁移/执行,而不是HPC总线。此外,它还包括一组易于使用的api,用于编写类似mpi的代码。结果表明,乒乓延迟测试和令人尴尬的并行(EP)代码执行等标准基准测试具有良好的性能。并将这些结果与MPICH和MPJ Express进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A-JUMP, architecture for Java universal message passing
Nowadays, there is a persistent demand of greater computational power to solve complex problems. High Performance Computing (HPC) with the modern trend to multi-core clusters accentuates the importance of parallelism and multithreading. This paper presents a Java based message passing implementation, named Architecture for Java Universal Message Passing (A-JUMP). A-JUMP provides flexibility to programmers in writing parallel applications using multiple programming languages. Moreover, it also provides facility to use different network protocols for message communication. The backbone of A-JUMP is HPC bus that facilitates the development of parallel applications. It provides the interoperability between different hardware resources, communication protocols and mediums. The HPC bus is built upon well-established industry standards; Java Messaging Service (JMS) and Java programming language. In HPC bus, ActiveMQ is solely responsible for communication and message passing in an asynchronous manner. The communication layer of A-JUMP is disentangled from the rest of HPC bus implementation that ensures that any changes in communication protocol and network topology will remain transparent to the end users. The components of A-JUMP includes; Job Scheduler, Monitoring, Machine Registry, and Code Migrator/Execution other than HPC bus. In addition, it includes a set of easy to use APIs for writing MPI-like code. The results demonstrate promising performance for standard benchmarks like ping pong latency tests and embarrassingly parallel (EP) code execution. The comparison of these results with MPICH and MPJ Express are also presented.
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