TraceRep: Gateway for Sharing and Collecting Traces in HPC Systems

Iván Pérez, E. Vallejo, J. L. Bosque
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Abstract

Traces of parallel programs are a valuable resource for users of HPC systems because they provide insight about the efficiency of the execution of their applications, allowing to improve the code. Additionally, for computer scientists they are useful as an input to simulation tools to guide the development of high performance computing (HPC) systems. Unfortunately, the limited access to these systems, the knowledge required to use the trace extraction tools, and the huge volume that traces can reach, makes the collection and sharing of traces hard. Trace Rep is a computer science gateway designed in the University of Cantabria designed to solve this problems. Its web interface and automated cluster access hides the complexity of collecting traces, and its public repository section simplifies sharing traces, including mechanisms to licence the data and guarantee authorship. TraceRep is available at: http://tracerep.unican.es.
TraceRep:高性能计算系统中共享和收集轨迹的网关
并行程序的跟踪对于HPC系统的用户来说是一种有价值的资源,因为它们提供了对应用程序执行效率的洞察,从而允许改进代码。此外,对于计算机科学家来说,它们作为模拟工具的输入是有用的,可以指导高性能计算(HPC)系统的开发。不幸的是,对这些系统的访问有限,使用痕迹提取工具所需的知识,以及痕迹可能达到的巨大数量,使得收集和共享痕迹变得困难。Trace Rep是坎塔布里亚大学设计的一个计算机科学网关,旨在解决这个问题。它的web界面和自动集群访问隐藏了收集痕迹的复杂性,其公共存储库部分简化了共享痕迹,包括授权数据和保证作者身份的机制。TraceRep可在http://tracerep.unican.es上获得。
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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