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IEEE International Conference on High Performance Computing, Data, and Analytics

About: IEEE International Conference on High Performance Computing, Data, and Analytics is an academic conference. The conference publishes majorly in the area(s): Supercomputer & Scalability. Over the lifetime, 10543 publication(s) have been published by the conference receiving 157479 citation(s).

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Papers
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Journal ArticleDOI: 10.1177/109434200101500302
Ian Foster1, Carl Kesselman2, Steven Tuecke1Institutions (2)
01 Aug 2001-
Abstract: "Grid" computing has emerged as an important new field, distinguished from conventional distributed computing by its focus on large-scale resource sharing, innovative applications, and, in some cases, high performance orientation. In this article, the authors define this new field. First, they review the "Grid problem," which is defined as flexible, secure, coordinated resource sharing among dynamic collections of individuals, institutions, and resources--what is referred to as virtual organizations. In such settings, unique authentication, authorization, resource access, resource discovery, and other challenges are encountered. It is this class of problem that is addressed by Grid technologies. Next, the authors present an extensible and open Grid architecture, in which protocols, services, application programming interfaces, and software development kits are categorized according to their roles in enabling resource sharing. The authors describe requirements that they believe any such mechanisms must satisfy and discuss the importance of defining a compact set of intergrid protocols to enable interoperability among different Grid systems. Finally, the authors discuss how Grid technologies relate to other contemporary technologies, including enterprise integration, application service provider, storage service provider, and peer-to-peer computing. They maintain that Grid concepts and technologies complement and have much to contribute to these other approaches.

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Topics: Open Grid Services Architecture (69%), Semantic grid (67%), Grid computing (67%) ...read more

6,686 Citations


Journal ArticleDOI: 10.1177/109434209701100205
Ian Foster1, Carl Kesselman2Institutions (2)
01 Jun 1997-
Abstract: The Globus system is intended to achieve a vertically integrated treatment of application, middleware, and net work. A low-level toolkit provides basic mechanisms such as communication, authentication, network information, and data access. These mechanisms are used to con struct various higher level metacomputing services, such as parallel programming tools and schedulers. The long- term goal is to build an adaptive wide area resource environment AWARE, an integrated set of higher level services that enable applications to adapt to heteroge neous and dynamically changing metacomputing environ ments. Preliminary versions of Globus components were deployed successfully as part of the I-WAY networking experiment.

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3,439 Citations


Journal ArticleDOI: 10.1177/109434209100500306
01 Sep 1991-
Abstract: A new set of benchmarks has been developed for the performance evaluation of highly parallel supercom puters. These consist of five "parallel kernel" bench marks and three "simulated application" benchmarks. Together they mimic the computation and data move ment characteristics of large-scale computational fluid dynamics applications. The principal distinguishing feature of these benchmarks is their "pencil and paper" specification-all details of these benchmarks are specified only algorithmically. In this way many of the difficulties associated with conventional bench- marking approaches on highly parallel systems are avoided.

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2,225 Citations


Journal ArticleDOI: 10.1016/S0167-8191(00)00087-9
Osman Yasar1, Y. Deng2, R. E. Tuzun2, D. SaltzInstitutions (2)
01 Jan 2001-
Abstract: This paper describes the automatically tuned linear algebra software (ATLAS) project, as well as the fundamental principles that underly it. ATLAS is an instantiation of a new paradigm in high performance library production and maintenance, which we term automated empirical optimization of software (AEOS); this style of library management has been created in order to allow software to keep pace with the incredible rate of hardware advancement inherent in Moore's Law. ATLAS is the application of this new paradigm to linear algebra software, with the present emphasis on the basic linear algebra subprograms (BLAS), a widely used, performance-critical, linear algebra kernel library.

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1,275 Citations


Open accessJournal ArticleDOI: 10.1177/1094342006064482
Sameer Shende1, Allen D. Malony1Institutions (1)
01 May 2006-
Abstract: The ability of performance technology to keep pace with the growing complexity of parallel and distributed systems depends on robust performance frameworks that can at once provide system-specific performance capabilities and support high-level performance problem solving Flexibility and portability in empirical methods and processes are influenced primarily by the strategies available for instrmentation and measurement, and how effectively they are integrated and composed This paper presents the TAU (Tuning and Analysis Utilities) parallel performance sytem and describe how it addresses diverse requirements for performance observation and analysis

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1,037 Citations


Performance
Metrics
No. of papers from the Conference in previous years
YearPapers
2021256
2020405
2019491
2018433
2017312
2016469

Top Attributes

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Conference's top 5 most impactful authors

Jack Dongarra

86 papers, 4.7K citations

Ian Foster

31 papers, 11.7K citations

P. Sadayappan

30 papers, 896 citations

Dhabaleswar K. Panda

30 papers, 557 citations

Martin Schulz

26 papers, 734 citations

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