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A note on new trends in data-aware scheduling and resource provisioning in modern HPC systems

机译:关于现代HPC系统中数据感知调度和资源供应的新趋势的说明

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摘要

The Big Data era [1,2] poses new challenges as well as significant opportunities for High-Performance Computing (HPC) systems such as how to efficiently turn massively large data into valuable information and meaningful knowledge? It is clear that computationally optimized new data-driven HPC techniques are required for processing Big Data in rapidly-increasing number of applications, such as Life Sciences, Particle Physics and Socio-economical systems.
机译:大数据时代[1,2]给高性能计算(HPC)系统带来了新的挑战,也带来了巨大的机遇,例如如何有效地将海量大数据转化为有价值的信息和有意义的知识?显然,在生命科学,粒子物理和社会经济系统等快速增长的应用程序中,处理大数据需要计算优化的新数据驱动HPC技术。

著录项

  • 来源
    《Future generation computer systems》 |2015年第10期|45-46|共2页
  • 作者单位

    Steinbuch Centre for Computing, Karlsruhe Institute of Technology, Karlsruhe, Germany;

    Institute of Computer Science for Research and Development, Cracow University of Technology, Cracow, Poland;

    Commonwealth Scientific and Industrial Research Organisation, Canberra, Australia;

    Commonwealth Scientific and Industrial Research Organisation, Canberra, Australia;

    Manjrasoft Pty Ltd, Melbourne, Australia Cloud Computing and Distributed Systems Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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