Efficient Wire Formats for High Performance Computing

F. Bustamante, G. Eisenhauer, K. Schwan, Patrick M. Widener
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引用次数: 105

Abstract

High performance computing is being increasingly utilized in non-traditional circumstances where it must interoperate with other applications. For example, online visualization is being used to monitor the progress of applications, and real-world sensors are used as inputs to simulations. Whenever these situations arise, there is a question of what communications infrastructure should be used to link the different components. Traditional HPC-style communications systems such as MPI offer relatively high performance, but are poorly suited for developing these less tightly-coupled cooperating applications. Object-based systems and meta-data formats like XML offer substantial plug-and-play flexibility, but with substantially lower performance. We observe that the flexibility and baseline performance of all these systems is strongly determined by their `wire format', or how they represent data for transmission in a heterogeneous environment. We examine the performance implications of different wire formats and present an alternative with significant advantages in terms of both performance and flexibility.
高效线格式的高性能计算
高性能计算越来越多地用于非传统环境,在这些环境中,高性能计算必须与其他应用程序进行互操作。例如,在线可视化被用于监控应用程序的进度,真实世界的传感器被用作模拟的输入。每当出现这些情况时,就会出现应该使用什么通信基础设施来连接不同组件的问题。传统的高性能计算机风格的通信系统(如MPI)提供了相对较高的性能,但不适合开发这些不太紧密耦合的协作应用程序。基于对象的系统和元数据格式(如XML)提供了大量即插即用的灵活性,但性能却低得多。我们观察到,所有这些系统的灵活性和基准性能在很大程度上取决于它们的“线格式”,或者它们如何在异构环境中表示传输数据。我们研究了不同连线格式对性能的影响,并提出了一种在性能和灵活性方面都具有显著优势的替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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