深度异构高性能系统中的挑战

G. Agosta, W. Fornaciari, David Atienza Alonso, R. Canal, A. Cilardo, J. Flich, Carles Hernández, M. Kulczewski, G. Massari, Rafael Tornero Gavilá, Marina Zapater
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引用次数: 5

摘要

RECIPE(异构Exascale系统的可靠功率和时间限制感知预测管理)是H2020 FETHPC计划资助的一个最近启动的项目,该项目明确针对探索新的高性能计算(HPC)技术。RECIPE旨在引入分层运行时资源管理基础设施,以优化能源效率并最大限度地减少热热点的发生,同时执行应用程序施加的时间约束,并确保在基于深度异构加速器的系统上运行的时间关键型和面向吞吐量的计算的可靠性。本文介绍了RECIPE的详细概述,确定了该项目所面临的基本挑战以及关键创新,包括运行时管理、异构计算架构、HPC内存/互连基础设施、热建模、可靠性、编程模型和时序分析。对于这些领域中的每一个,本文描述了相关的艺术状态以及项目将采取的具体行动,以有效地解决已确定的技术挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges in Deeply Heterogeneous High Performance Systems
RECIPE (REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems) is a recently started project funded within the H2020 FETHPC programme, which is expressly targeted at exploring new High-Performance Computing (HPC) technologies. RECIPE aims at introducing a hierarchical runtime resource management infrastructure to optimize energy efficiency and minimize the occurrence of thermal hotspots, while enforcing the time constraints imposed by the applications and ensuring reliability for both time-critical and throughput-oriented computation that run on deeply heterogeneous accelerator-based systems. This paper presents a detailed overview of RECIPE, identifying the fundamental challenges as well as the key innovations addressed by the project, which span run-time management, heterogeneous computing architectures, HPC memory/interconnection infrastructures, thermal modelling, reliability, programming models, and timing analysis. For each of these areas, the paper describes the relevant state of the art as well as the specific actions that the project will take to effectively address the identified technological challenges.
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