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On the road to exascale: Advances in High Performance Computing and Simulations-An overview and editorial

机译：在万亿级计算的道路上：高性能计算和仿真的进展-概述和社论

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摘要

In recent decades, the complexity of scientific and engineering problems has increased considerably. New applications and domains that use high performance computing systems have been introduced. These trends are projected to continue for the foreseen future (Reed and Dongarra, 2015) []. In many areas of engineering and science, High-Performance Computing (HPC) and Simulations have become determinants of industrial competitiveness and advanced research. In fact, advances in HPC architectures, storages, networking, and software capabilities are leading to a new era in HPC and simulations, along with new challenges both in computing and systems modeling (Geist and Lucas, 2009) []. These developments are especially critical considering that HPC systems continue to scale up in terms of nodes, cores, and accelerators, as well as software, infrastructure and tools, which in turn are expediting the move on the path toward Exascale (Reed and Dongarra, 2015; Geist and Lucas, 2009; Dongarra and Beckman, 2011; Dosanjh et al., 2014; Engelmann, 2014) [].Scalability and availability represent two of the main requirements that need to be considered before conceiving of these large-scale systems (ASCAC Subcommittee on Exascale Computing, 2010). The scalability feature allows the system to proportionately grow when service demand increases, whereas availability means the system continues to provide their services despite hardware and software failures (Theodoropoulos et al., 2014; Tang et al., 2014) []. The goal in large-scale HPC is to accommodate both availability and scalability while staying under strict constraints on performance (e.g., processing time) and cost metrics (e.g., power consumption).This special issue is envisioned to provide examples of research work on topics related to recent advances in High Performance Computing and Simulations. It briefly addresses and explores challenges toward Exascale computing, current state-of-the-art in HPC and simulation, and the path forward in the domains of large-scale HPC systems.
机译：近几十年来，科学和工程问题的复杂性已大大增加。已经介绍了使用高性能计算系统的新应用程序和领域。预计这些趋势将在可预见的未来继续下去（Reed and Dongarra，2015）[]。在工程和科学的许多领域，高性能计算（HPC）和仿真已成为工业竞争力和高级研究的决定因素。实际上，HPC架构，存储，网络和软件功能的进步正在引领HPC和模拟的新时代，以及计算和系统建模方面的新挑战（Geist和Lucas，2009）[]。考虑到HPC系统在节点，核心和加速器以及软件，基础架构和工具方面的规模不断扩大，这些发展尤其关键，这反过来又加快了向Exascale迈进的步伐（Reed和Dongarra，2015年） ； Geist和Lucas，2009； Dongarra和Beckman，2011； Dosanjh等人，2014； Engelmann，2014）[]。可扩展性和可用性是在构想这些大型系统之前需要考虑的两个主要要求（ ASCAC Exascale计算小组委员会，2010年。可扩展性功能允许系统在服务需求增加时按比例增长，而可用性意味着尽管出现硬件和软件故障，系统仍继续提供服务（Theodoropoulos等，2014; Tang等，2014）[]。大型HPC的目标是在兼顾性能（例如处理时间）和成本指标（例如功耗）的严格约束下，兼顾可用性和可扩展性。本期专刊旨在提供有关主题研究工作的示例与高性能计算和仿真的最新进展有关。它简要介绍并探讨了Exascale计算，HPC和仿真的最新技术以及在大型HPC系统领域中前进的道路所面临的挑战。

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  • 来源
    《Future generation computer systems》 |2018年第5期|450-458|共9页
  • 作者

    Sandro Fiore; Mohamed Bakhouya; Waleed W. Smari;

  • 作者单位

    Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici Lecce;

    Faculty of Computing and Logistics, TICLab International University of Rabat;

    Ball Aerospace and Technologies Corp;

  • 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
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