Algorithms and Architectures for Parallel Processing

7th International Conference, ICA3PP 2007, Hangzhou, China, June 11-14, 2007. Proceedings

  • Editors
  • Hai Jin
  • Omer F. Rana
  • Yi Pan
  • Viktor K. Prasanna
Conference proceedings ICA3PP 2007

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4494)

Table of contents

  1. Front Matter
  2. Keynote Speech

    1. Hai Zhuge, Xiang Li
      Pages 1-12
  3. Invited Papers

  4. Track 1: Parallel Algorithms

    1. Peng Liu, Guojun Dai, Tingting Fu, Hong Zeng, Xiang Zhang
      Pages 49-59
    2. Carlos Eduardo Rodrigues Alves, Edson Norberto Cáceres, Siang Wun Song
      Pages 60-71
    3. Limin Shen, Shangping Ren, Feng Li, Yunfeng Mu
      Pages 83-94
  5. Track 2: Parallel Architecture

    1. Dong Tian, Shuyu Chen, Taiping Mao
      Pages 131-141
    2. Guoteng Pan, Qiang Dou, Lunguo Xie
      Pages 142-152
    3. Xiong Xie, Weishi Zhang
      Pages 153-164
    4. Qingying Deng, Minxuan Zhang, Jiang Jiang
      Pages 165-176
    5. Federico Meza, Cristian Ruz
      Pages 177-187

About these proceedings

Introduction

Parallel and distributed computing in the 1980s and 1990s had great in?uence onapplication developmentin science, engineering andbusiness computing. The improvements in computation and communication capabilities have enabled the creation of demanding applications in critical domains such as the environment, health, aerospace, and other areas of science and technology. Similarly, new classesofapplicationsareenabledbytheavailabilityofheterogeneouslarge-scale distributed systems which are becoming available nowadays (based on techno- giessuchasgridandpeer-to-peersystems).Parallelcomputingsystemsexploita large diversity of computer architectures, from supercomputers, shared-memory or distributed-memory multi processors, to local networks and clusters of p- sonal computers. With the recent emergence of multi core architectures, parallel computing is now set to achieve “mainstream” status. Approaches that have been advocated by parallelcomputing researchersin the past are now being utilized in a number of software libraries and hardware systems that are available for everyday use. Parallel computing ideas have also come to dominate areas such as multi user gaming (especially in the development of gaming engines based on “cell” arc- tectures) – often ignored by many “serious” researchers in the past, but which now are set to have a growing user base of tens of millions across the world. In recent years, focus has also shifted to support energy e?ciency in com- tation, with some researchers proposing a new metric of performance based on Flops/Watt.

Keywords

DJ Signatur cluster computing componnet-based SE computational science data structure distributed computing distributed systems dynamic load-balancing high performance computing inter-domain routing load balancing machine learning mobile computing organization

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-72905-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-72904-4
  • Online ISBN 978-3-540-72905-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book