Performance prediction based on hierarchy parallel features captured in multi-processing system

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Performance prediction based on hierarchy parallel features captured in multi-processing system

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High Performance Distributed Computing archive
Proceedings of the 18th ACM international symposium on High performance distributed computing table of contents

Garching, Germany

SESSION: Poster Session table of contents

Pages 63-64

Year of Publication: 2009

ISBN:978-1-60558-587-1

Authors

Jiaxin Li	Beijing Institute of Technology, Beijing, China
Feng Shi	Beijing Institute of Technology, Beijing, China
Ning Deng	Beijing Institute of Technology, Beijing, China
Qi Zuo	Beijing Institute of Technology, Beijing, China

Sponsors

ACM: Association for Computing Machinery
SIGARCH: ACM Special Interest Group on Computer Architecture

Publisher

ACM New York, NY, USA

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ABSTRACT

As the computing ability of high performance computers are improved by increasing the number of computing elements, how to utilize the available computing resources becomes an important issue. Different strategies to solve an problem based on a multi-processing system can bring about distinct performance. In this paper, we propose a method to predict the performance of parallel applications. The method describes the parallel features of the multi-processing systems in a hierarchy way, and evaluates solutions based on the description. In this way, programmers can find the better solution of an application before real programming.

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