Automatically assigned DDC number: 00436

Manually assigned DDC number: 00435

Number of references: 0

Title: Performance Analysis of Parallel Systems: Approaches and Open Problems

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Subject: Daniel A. Reed,Ruth A. Aydt,Luiz Derose,Celso L. Mendes,Randy L. Ribler,Eric Shaffer,Huseyin Simitci,Jeffrey S. Vetter,Daniel R. Wells,Shannon Whitmore,Ying Zhang Performance Analysis of Parallel Systems: Approaches and Open Problems

Description: Parallel computing is rapidly evolving to include heterogeneous collections of distributed and parallel systems. Concurrently, applications are becoming increasingly multidisciplinary with code libraries implemented using diverse programming models. To optimize the behavior of complex applications on heterogeneous systems, performance analysis software must also evolve, replacing post-mortem analysis with real-time, adaptive optimization, tightly integrating compile-time analysis with performance measurement and prediction, and supporting highmodality visualization and software manipulation. In this paper, we briefly survey the state of the art in each of these areas and sketch a series of open research problems. 1 Introduction As parallel computing evolves from homogeneous parallel systems to distributed collections of heterogenous systems (i.e., the computational grid), application developers face new and more complex performance tuning and optimization problems. Current users of pa...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1998-09-02

Pubyear: 1998

Format: ps

Identifier: http://citeseer.ist.psu.edu/140556.html

Source: http://bugle.cs.uiuc.edu/~derose/Local_reports/Japan.ps.gz

Language: en

Rights: unrestricted