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Challenges in Parallel Graph Processing

Overview Graph algorithms are becoming increasingly important for solving many problems in scientific computing, data mining and other domains. As these problems grow in scale, parallel computing resources are required to meet their computational and memory requirements. Unfortunately, the algorithms, software, and hardware that have worked well for developing mainstream parallel scientific applications are not necessarily effective for large-scale graph problems. This paper presents the inter-relationships between graph problems, software, and parallel hardware in the current state of the art and discuss how those issues present inherent challenges in solving large-scale graph problems. The range of these challenges suggests a research agenda for the development of scalable high-performance software for graph problems.

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Publisher
World Scientific Publishing
File Format
PDF
Date Published
Mar 4, 2008
Format
White Papers
Topics
Graphics Applications, Parallel Processing

World Scientific Publishing White Papers

Business Intelligence From Web Usage Mining

Business Intelligence From Web Usage Mining

The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competit

Publisher: World Scientific Publishing  |  Tags: applications, data, management, marketing, network