The Path to Delivering Programable Exascale Systems

L. DeRose
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引用次数: 1

Abstract

The trends in hardware architecture are paving the road towards Exascale. However, these trends are also increasing the complexity of design and development of the software developer environment that is deployed on modern supercomputers. Moreover, the scale and complexity of high-end systems creates a new set of challenges for application developers. Computational scientists are facing system characteristics that will significantly impact the programmability and scalability of applications. In order to address these issues, software architects need to take a holistic view of the entire system and deliver a high-level programming environment that can help maximize programmability, while not losing sight of performance portability. In this talk, I will discuss the current trends in computer architecture and their implications in application development and will present Cray’s high level parallel programming environment for performance and programmability on current and future supercomputers. I will also discuss some of the challenges and open research problems that need to be addressed in order to build a software developer environment for extreme-scale systems that helps users solve multi-disciplinary and multi-scale problems with high levels of performance, programmability, and scalability.
提供可编程百亿亿级系统的途径
硬件架构的发展趋势正在为百亿亿级铺平道路。然而,这些趋势也增加了部署在现代超级计算机上的软件开发人员环境的设计和开发的复杂性。此外,高端系统的规模和复杂性给应用程序开发人员带来了一系列新的挑战。计算科学家正面临着将显著影响应用程序可编程性和可扩展性的系统特性。为了解决这些问题,软件架构师需要从整体上看待整个系统,并交付一个高级编程环境,以帮助最大化可编程性,同时不忽略性能可移植性。在这次演讲中,我将讨论计算机体系结构的当前趋势及其对应用程序开发的影响,并将介绍Cray在当前和未来超级计算机上的高性能和可编程性的高级并行编程环境。我还将讨论一些需要解决的挑战和开放的研究问题,以便为极端规模的系统构建一个软件开发环境,帮助用户解决具有高水平性能、可编程性和可扩展性的多学科和多规模问题。
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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