High-Performance Computing
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Author Description
This book constitutes the thoroughly refereed joint post-conference proceedings of the 6th International Symposium on High-Performance Computing, ISHPC 2005, held in Nara, Japan, in September 2005 and the First International Workshop on Advanced Low Power Systems 2006, ALPS2006, organized as satellite event of the 20th ACM International Conference on Supercomputing, ICS 2006, held in Cairns, Australia, in July 2006. The ISHPC 2005 symposium contributed 15 revised full papers and 13 revised short papers as well as 6 papers from the Second High Performance Fortran (HPF) International Workshop: E.
Menrva's Summary
THE THESIS
This book presents the latest advancements in high-performance computing and low-power systems. It compiles revised papers from the 6th International Symposium on High-Performance Computing (ISHPC 2005) and the First International Workshop on Advanced Low Power Systems (ALPS2006). The content covers a range of topics including parallel processing, algorithms, and computer architecture, reflecting research presented at these key international conferences.
THE SCOPE MAP
- Revised full and short papers from ISHPC 2005
- Papers from the ALPS2006 workshop, focusing on low-power systems
- Contributions related to High Performance Fortran (HPF)
- Research on parallel processing techniques and algorithms
- Discussions on computer architecture for high-performance systems
THE AUTHORITY PERSPECTIVE
This collection of proceedings offers a snapshot of the state of high-performance computing and low-power systems research as of 2005-2006. The inclusion of papers from both ISHPC and ALPS workshops suggests a focus on both raw computational power and energy efficiency. The presence of High Performance Fortran contributions indicates a continued interest in specific programming paradigms for parallel systems.
Page Count:
536
Publication Date:
2008-01-01
ISBN-10:
3540777040
ISBN-13:
9783540777045
Science
Non-Fiction
Computer Architecture
Computer Science
High Performance Computing
Algorithms
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