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Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on

Date 14-18 April 2008

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  • Proceedings of the 2008 IEEE international parallel & distributed processing symposium

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  • [Copyright notice]

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  • Program 22nd IEEE international parallel & distributed processing symposium

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  • IPDPS program

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  • IPDPS workshops

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  • Message from General Chair

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  • Message from Program Chair

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  • Message from workshops chair

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  • Message from Steering Co-chairs

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  • IPDPS 2008 Organization

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  • IPDPS 2008 reviewers

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  • IPDPS 2008 Technical Program

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  • How to avoid making the same Mistakes all over again: What the parallel-processing community has (failed) to offer the multi/many-core generation

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  • Translational research design templates, Grid computing, and HPC

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  • Programming models for petascale to exascale

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  • Computational thinking and thinking about computing

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  • Looking at data

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  • Workshop 10 introduction: The Next Generation Software (NGS) workshop - NGS 2008

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    This workshop provides a forum for an overview, project presentations, and discussion of the research fostered and funded by the NSF Next Generation Software (NGS) Program, the Advanced Execution Systems (AES) and the Systems Modeling and Analysis (SMA) components of the follow-up Computer Systems Research (CSR) Program, and the Dynamic Data Driven Application Systems (DDDAS) Program. The present Workshop is part of the Next Generation Software workshop series that started in 2001 and has been conducted yearly in conjunction with IPDPS. The topics addressed in the workshop are on research in systems’ software technology in the scope of NGS, the CSR AES and the SMA components and DDDAS, namely: systems modeling, analysis and performance engineering methods, programming environments, enhanced compiler capabilities, tools for the development, dynamic runtime support and dynamic composition of complex applications executing on heterogeneous, parallel and distributed computing platform assemblies, such as computational grids, encompassing high-end platforms, clusters, embedded and sensor systems, and special purpose processing systems. View full abstract»

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  • Message from PDSEC-08 Workshop Chairs

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  • Scientific computing on public computing platforms — practices and experiences

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    Public computing is a type of grid computing architectures composed of autonomous volunteer workstations coordinated by a central server complex over the Internet. Exploiting these distributed resources comes at the price of unpredictable availability, fluctuating performance, and heterogeneous participant nodes. Central to addressing these problems is an efficient and accurate scheduling mechanism for the public computing architecture. In this talk, I will overview grid computing in general and a public computing platform called BOINC in particular. Several major issues and challenges in grid computing research will be identified. I will also report our new research results in this exciting area through introducing a scheduling system based on the ant colony algorithm. In addition, the bottleneck problem in the client-server architecture used in BOINC will be identified and a new peer-to-peer architecture for solving the problem will be presented. Several applications have been implemented on BOINC and our new architecture using our scheduling system. By testing these applications with totally different characteristics, we show that our scheduling system consistently provides a high performance, adaptive solution to all of them, and the system using our new peer-to-peer architecture indeed performs better than BOINC. Our work also manifests that public computing can solve the problems of large computing power requirement and huge memory demand in many scientific applications and potentially replace high-cost supercomputing systems for certain application domains. View full abstract»

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