High Performance Computing into Cloud Computing Services

A. Batra, A. Kumar
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引用次数: 3

Abstract

High-Performance Computing (HPC) projects span a spectrum of computer hardware implementations ranging from peta-flop supercomputers, high-end tera-flop facilities running a variety of operating systems and applications, to mid-range and smaller computational clusters used for HPC application development, pilot runs and prototype staging clusters. What they all have in common is that they operate as a stand-alone system rather than a scalable and shared user reconfigurable resource. The advent of cloud computing has changed the traditional HPC implementation. In this article, we will discuss a very successful production level architecture and policy framework for supporting HPC services within a more general cloud computing infrastructure. This integrated environment, called Virtual Computing Lab (VCL), has been operating at NC State since fall 2004. Nearly 8,500,000 HPC CPU-Hrs were delivered by this environment to NC State faculty and students during 2009. In addition, we present and discuss operational data that show that integration of HPC and non-HPC (or general VCL) services in a cloud can substantially reduce the cost of delivering cloud services (down to cents per CPU hour).
云计算服务中的高性能计算
高性能计算(HPC)项目涵盖了一系列计算机硬件实现,从运行各种操作系统和应用程序的超级计算机、高端的万亿次设备,到用于HPC应用程序开发、试点运行和原型阶段集群的中档和小型计算集群。它们的共同点是它们作为独立的系统运行,而不是作为可扩展和共享的用户可重构资源运行。云计算的出现改变了传统的HPC实现。在本文中,我们将讨论一个非常成功的生产级架构和策略框架,用于在更通用的云计算基础设施中支持HPC服务。这种被称为虚拟计算实验室(VCL)的集成环境自2004年秋季以来一直在北卡罗来纳州运行。2009年,将近8,500,000台HPC CPU-Hrs通过该环境交付给北卡罗来纳州立大学的教师和学生。此外,我们提出并讨论了运行数据,这些数据表明,在云中集成HPC和非HPC(或通用VCL)服务可以大大降低交付云服务的成本(降低到每CPU小时几美分)。
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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