• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of High Performance Computing Applications >SCALA: A PERFORMANCE SYSTEM FOR SCALABLE COMPUTING
【24h】

SCALA: A PERFORMANCE SYSTEM FOR SCALABLE COMPUTING

机译：SCALA：可扩展计算的性能系统

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Lack of effective performance-evaluation environments is a major barrier to the broader use of high performance computing. Conventional performance environments are based on profiling and event instrumentation. It becomes problematic as parallel systems scale to hundreds of nodes and beyond. A framework of developing an integrated performance modeling and prediction system, SCALability Analyzer (SCALA), is presented in this study. In contrast to existing performance tools, the program performance model generated by SCALA is based on scalability analysis. SCALA assumes the availability of modern compiler technology, adopts statistical and symbolic methodologies, and has the support of browser interface. These technologies, together with a new approach of scalability analysis, enable SCALA to provide the user with a more intuitive level of performance analysis for scalable computing. A prototype SCALA system has been implemented. Initial experimental results show that SCALA is unique in its ability of revealing the scaling properties of a computing system.
机译：缺乏有效的性能评估环境是广泛使用高性能计算的主要障碍。常规性能环境基于性能分析和事件检测。随着并行系统扩展到数百个节点以及更多节点，这将成为问题。这项研究提出了一个开发集成性能建模和预测系统的框架，即SCALability Analyzer（SCALA）。与现有的性能工具相比，SCALA生成的程序性能模型基于可伸缩性分析。 SCALA假定了现代编译器技术的可用性，采用了统计和符号方法，并具有浏览器界面的支持。这些技术以及可伸缩性分析的新方法使SCALA能够为用户提供更直观的性能分析级别，以进行可伸缩性计算。原型SCALA系统已实现。初步的实验结果表明，SCALA在揭示计算系统的缩放特性方面具有独特性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号