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Proceedings of the 2006 ACM/IEEE conference on Supercomputing最新文献

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Scatter/gather 分散/收集
Pub Date : 2006-11-11 DOI: 10.1145/1188455.1188656
Staff
Scatter/Gather is designed to stimulate is a very open dialog of new ideas and emerging work. This is your chance to tell everyone about your new idea! This year we'll modify the format a bit to more closely resemble an "un-conference" in which the meeting is driven and created dynamically by the participants. We'll use a whiteboard to self-organize so look for the sign-up display at the conference near the registration area -- but don't delay because time-slots are limited and it's first-come, first-served. Remember, the idea is to share and get feedback on your ideas, not make a polished presentation!
《散射/聚集》的设计是为了激发新思想和新兴作品之间的非常开放的对话。这是你告诉大家你的新想法的机会!今年,我们将稍微修改一下格式,使其更接近于“非会议”,即会议由参与者动态地驱动和创建。我们将使用白板进行自我组织,所以在会议注册区附近寻找注册显示,但不要拖延,因为时间段有限,先到先得。记住,你的想法是为了分享和获得对你想法的反馈,而不是做一个精致的演讲!
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引用次数: 0
Scalable software infrastructure project 可扩展的软件基础设施项目
Pub Date : 2006-11-11 DOI: 10.1145/1188455.1188601
A. Nishida, Hisashi Kotakemori, Tamito Kajiyama, Akira Nukada
Recent progress of science and technology has made numerical simulation an important approach for studies in various fields. Although scalable and high performance numerical libraries on large scale computing resources are indispensable tools for handling various multiscale phenomena, few projects for integrating these numerical libraries have been reported. The object of this project is the development of a basic library of solutions and algorithms required for large scale scientific simulations, which have been developed separately in each fields, and its integration into a scalable software infrastructure. The components include a scalable iterative solvers library Lis, having a number of solvers, preconditioners, and matrix storage formats that are flexibly combinable, a fast Fourier transform library FFTSS for various superscalar architectures with SIMD instructions, which outperforms some vendor-provided FFT libraries, and a language- and computing environment-independent matrix computation framework SILC. We show some highlights of our achievements on leading high performance computers.
近年来科学技术的进步使数值模拟成为各个领域研究的重要手段。虽然大规模计算资源上的可扩展和高性能数值库是处理各种多尺度现象不可或缺的工具,但很少有集成这些数值库的项目被报道。该项目的目标是开发大规模科学模拟所需的基本解决方案和算法库,这些解决方案和算法已在每个领域单独开发,并将其集成到可扩展的软件基础设施中。这些组件包括一个可扩展的迭代求解器库Lis,它具有许多可灵活组合的求解器、预处理器和矩阵存储格式;一个快速傅立叶变换库FFTSS,用于各种带有SIMD指令的标量体系结构,其性能优于一些供应商提供的FFT库;以及一个与语言和计算环境无关的矩阵计算框架SILC。我们展示了我们在领先的高性能计算机上取得的一些成就。
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引用次数: 6
Open source software: a powerful model for inspiring imagination 开源软件:激发想象力的强大模型
Pub Date : 2006-11-11 DOI: 10.1145/1188455.1188661
Matthew J. Szulik
Over the past decade, commodity computing and Linux have helped to significantly transform supercomputing. Fueled by the open source model, collaboration of the supercomputing community has had far reaching affects on enterprise computing. In his talk, Matthew Szulik (Chairman and CEO of Red Hat) will draw parallels between open source trends in supercomputing and the advancement of enterprise computing. As we look ahead, he will discuss how meeting the future's computing challenges will require faster innovation driven by better collaboration.
在过去的十年中,商品计算和Linux极大地改变了超级计算。在开源模型的推动下,超级计算社区的协作对企业计算产生了深远的影响。在他的演讲中,Matthew Szulik (Red Hat的董事长兼首席执行官)将把超级计算的开源趋势与企业计算的进步相提并论。展望未来,他将讨论如何通过更好的协作来推动更快的创新,以应对未来的计算挑战。
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引用次数: 0
Paradigm shift in the data storage industry 数据存储行业的范式转变
Pub Date : 2006-11-11 DOI: 10.1145/1188455.1188725
Sujal Patel
"Clustered Storage is becoming pervasive and is a major paradigm shift from previous generations of storage products, much like when CDs made records obsolete." ~ Tony Asaro, Enterprise Strategy Group, Oct 2005The purpose of this presentation is to introduce you to a new paradigm shift that is currently taking place in the data storage industry: the movement toward Clustered Storage architectures. Distributed storage clustering for the data storage industry is in much the same position today that IBM was in 1981, poised to change the rules of the computer industry. Clustered Storage architectures are changing the rules of how data is stored and accessed. In this paper we will discuss the trends that clearly define clustered storage architectures as the future of data storage, detail the requirements of this new category of storage, and introduce the Isilon® IQ clustered storage solution which is the first to deliver on the promises of this paradigm shift.
“集群存储正变得越来越普遍,与前几代存储产品相比,这是一种重大的范式转变,就像cd使唱片过时一样。”~ Tony Asaro, Enterprise Strategy Group, 2005年10月本演讲的目的是向您介绍当前数据存储行业中正在发生的一种新的范式转变:向集群存储架构的转变。今天,数据存储行业的分布式存储集群所处的位置与1981年IBM所处的位置非常相似,即准备改变计算机行业的规则。集群存储架构正在改变数据存储和访问的规则。在本文中,我们将讨论将集群存储架构明确定义为数据存储的未来的趋势,详细介绍这种新存储类别的需求,并介绍Isilon®IQ集群存储解决方案,这是第一个实现这种范式转变的承诺。
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引用次数: 0
2nd IEEE/ACM international workshop on high performance computing for nano-science and technology 第二届IEEE/ACM纳米科学与技术高性能计算国际研讨会
Pub Date : 2006-11-11 DOI: 10.1145/1188455.1188699
J. Ni
Nanotechnology is an exciting field with many potential applications. Its impact is already being felt in materials, engineering, electronics, medicine, and other disciplines. Current research in nanotechnology requires multi-disciplinary knowledge, not only in sciences and engineering but also in high performance computing (HPC) technology. Many nano-science explorations rely on mature, efficient HPC and computational algorithms, practical and reliable numerical methods, and large-scale computing systems. This workshop offers academic researchers, developers, and practitioners an opportunity to discuss various aspects of HPC-related computational methods and problem solving techniques for nano-science and technology research. Additional information about this workshop is available at http://www.uiowa.edu/~nano/HPCNano06/
纳米技术是一个令人兴奋的领域,有许多潜在的应用。它的影响已经在材料、工程、电子、医学和其他学科中得到体现。当前纳米技术的研究需要多学科的知识,不仅包括科学和工程,还包括高性能计算技术。许多纳米科学的探索都依赖于成熟、高效的高性能计算和计算算法、实用可靠的数值方法和大规模的计算系统。本次研讨会为学术研究人员、开发人员和实践者提供了一个机会,讨论高性能计算相关的计算方法和纳米科学技术研究的问题解决技术的各个方面。有关本次研讨会的更多信息,请访问http://www.uiowa.edu/~nano/HPCNano06/
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引用次数: 0
High speed data gathering, distribution and analysis for physics discoveries at the large Hadron collider 大型强子对撞机物理发现的高速数据收集、分布和分析
Pub Date : 2006-11-11 DOI: 10.1145/1188455.1188708
J. Bunn, H. Newman, S. McKee, D. G. Foster, R. Cavanaugh, R. Hughes-Jones
The latest WAN infrastructure and Grid-based Web Services will be used to demonstrate movement and analysis of TeraByte-scale event datasets for particle physics. Optimized transfers of data over 10Gbit/sec networks linking servers and disk systems will be shown using the latest processors, PCI-Express NICs, RAID arrays and firmware. All available lambdas arriving at the SC06 show floor will be saturated, in full duplex mode. The WAN performance will be monitored using the MonALISA distributed agent-based system. A suite of Grid-enabled Analysis tools developed at Caltech, University of Florida and Michigan will be used, as will. EGEE, OSG, ATLAS and CMS data management software such as SRM, dCache, FTS, and PhEdEx. Prototypes of the latest version of parallel NFS will demonstrate excellent utilization of 10Gbit/sec connections during execution of the analysis tasks.We intend to exceed the aggregate rate of 150Gbits/sec we achieved in our SC2005 Bandwidth Challenge winning entry.
最新的广域网基础设施和基于网格的Web服务将用于演示粒子物理的tb级事件数据集的移动和分析。使用最新的处理器、PCI-Express网卡、RAID阵列和固件,将展示连接服务器和磁盘系统的10Gbit/sec网络的优化数据传输。所有到达SC06展厅的可用lambdas都将以全双工模式饱和。广域网性能将使用基于MonALISA的分布式代理系统进行监控。加州理工学院、佛罗里达大学和密歇根大学开发的一套网格分析工具也将被使用。SRM、dCache、FTS、PhEdEx等EGEE、OSG、ATLAS、CMS数据管理软件。最新版本的并行NFS原型将演示在执行分析任务期间对10Gbit/sec连接的出色利用。我们打算超过我们在SC2005带宽挑战赛中获得的150Gbits/sec的总速率。
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引用次数: 4
Is 99% utilization of a supercomputer a good thing? 超级计算机99%的利用率是一件好事吗?
Pub Date : 2006-11-11 DOI: 10.1145/1188455.1188493
A. Snavely, J. Kepner
This BOF will continue debate revolving around productivity metrics for supercomputers. At several recent user forums, consensus emerged that it is not possible to develop petascale applications without interactive access to thousands of processors. But most large systems are managed via a batch scheduler with long (and unpredictable) queue wait times. Most batch scheduler policies assume high system utilization as "good". But high utilization dilates average queue wait time and increases wait-time unpredictability, both of which are "bad" for application developer's productivity. What are the options to address these conflicting implications for running a supercomputer at high system utilization? Is it possible to manage a supercomputer to meet the high-throughput demands of stable applications and the on-demand access requirements of large-scale code developers concurrently? Or do these two usage scenarios inherently conflict? Participants will explain and debate several creative solutions that could enable high throughput and high availability for program development.
这次BOF将继续围绕超级计算机的生产率指标展开辩论。在最近的几个用户论坛上,人们一致认为,如果没有对数千个处理器的交互访问,就不可能开发千兆级应用程序。但是,大多数大型系统都是通过具有长(且不可预测的)队列等待时间的批调度程序进行管理的。大多数批调度程序策略都将高系统利用率视为“良好”。但是高利用率延长了平均队列等待时间并增加了等待时间的不可预测性,这两者都对应用程序开发人员的生产力“不利”。在高系统利用率下运行超级计算机时,有哪些选项可以解决这些相互冲突的影响?是否有可能管理一台超级计算机来同时满足稳定应用程序的高吞吐量需求和大规模代码开发人员的按需访问需求?或者这两种使用场景是否存在内在冲突?与会者将解释和讨论几个创造性的解决方案,这些解决方案可以实现程序开发的高吞吐量和高可用性。
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引用次数: 5
NEC High performance computing solutions NEC高性能计算解决方案
Pub Date : 2006-11-11 DOI: 10.1145/1188455.1188739
Jörg Stadler
NEC is a leading solutions provider of high performance computers. NEC understands that one size does not fit all and one hardware architecture can not be optimal for all applications. NEC has a rich experience in integrating powerful vector supercomputers with industry standard systems to build tailored solutions. The presentation will introduce the NEC SX vector supercomputer series and give examples of powerful solutions that have been built with it.
NEC是一家领先的高性能计算机解决方案提供商。NEC明白,一种尺寸不可能适合所有应用,一种硬件架构也不可能适合所有应用。NEC在将强大的矢量超级计算机与行业标准系统集成以构建量身定制的解决方案方面拥有丰富的经验。该演讲将介绍NEC SX矢量超级计算机系列,并给出用它构建的强大解决方案的示例。
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引用次数: 0
Large-scale electronic structure calculations of high-Z metals on the BlueGene/L platform 高z金属在BlueGene/L平台上的大规模电子结构计算
Pub Date : 2006-11-11 DOI: 10.1145/1188455.1188502
F. Gygi, E. Draeger, M. Schulz, B. D. Supinski, John A. Gunnels, V. Austel, J. Sexton, F. Franchetti, S. Kral, C. Ueberhuber, J. Lorenz
First-principles simulations of high-Z metallic systems using the Qbox code on the BlueGene/L supercomputer demonstrate unprecedented performance and scaling for a quantum simulation code. Specifically designed to take advantage of massively-parallel systems like BlueGene/L, Qbox demonstrates excellent parallel efficiency and peak performance. A sustained peak performance of 207.3 TFlop/s was measured on 65,536 nodes, corresponding to 56.5% of the theoretical full machine peak using all 128k CPUs.
在BlueGene/L超级计算机上使用Qbox代码对高z金属系统进行第一性原理模拟,展示了量子模拟代码前所未有的性能和可扩展性。Qbox专为利用BlueGene/L等大规模并行系统而设计,具有出色的并行效率和峰值性能。在65,536个节点上测量了207.3 TFlop/s的持续峰值性能,相当于使用所有128k cpu的理论整机峰值的56.5%。
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引用次数: 87
GCE06 - Grid computing environments 2006 网格计算环境2006
Pub Date : 2006-11-11 DOI: 10.1145/1188455.1188693
G. von Laszewski
This workshop will focus on projects and technologies that are adopting scientific portals and gateways. These technologies are characterized by delivering well-established mechanisms for providing familiar interfaces to secure Grid resources, services, applications, tools, and collaboration services for communities of scientists. In most cases access is enabled through a web browser without the need to download or install any specialized software or worry about networks and ports. As a result, the science application user is isolated from the complex details and infrastructure needed to operate an application on the Grid. Additional information about this workshop is available at http://www.cogkit.org/GCE06
本次研讨会将重点讨论采用科学门户和网关的项目和技术。这些技术的特点是提供完善的机制,为科学家群体提供熟悉的接口,以保护网格资源、服务、应用程序、工具和协作服务。在大多数情况下,访问是通过web浏览器实现的,无需下载或安装任何专门的软件,也无需担心网络和端口。因此,科学应用程序用户与在网格上操作应用程序所需的复杂细节和基础设施隔离开来。有关本次研讨会的更多信息,请访问http://www.cogkit.org/GCE06
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引用次数: 0
期刊
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
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