Job Scheduling Strategies for Parallel Processing

17th International Workshop, JSSPP 2013, Boston, MA, USA, May 24, 2013 Revised Selected Papers

  • Narayan Desai
  • Walfredo Cirne
Conference proceedings JSSPP 2013
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8429)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Joseph Emeras, Cristian Ruiz, Jean-Marc Vincent, Olivier Richard
    Pages 1-21
  3. Arun Balasubramanian, Alan Sussman, Norman Sadeh
    Pages 22-41
  4. David Krakov, Dror G. Feitelson
    Pages 42-61
  5. Dalibor Klusáček, Hana Rudová, Michal Jaroš
    Pages 81-95
  6. Zhou Zhou, Zhiling Lan, Wei Tang, Narayan Desai
    Pages 96-115
  7. Ohad Shai, Edi Shmueli, Dror G. Feitelson
    Pages 116-135
  8. Giovanni Agosta, Gerardo Pelosi, Ettore Speziale
    Pages 136-155
  9. Kefeng Deng, Ruben Verboon, Kaijun Ren, Alexandru Iosup
    Pages 156-176
  10. Avinab Rajbhandary, David P. Bunde, Vitus J. Leung
    Pages 177-191
  11. Back Matter
    Pages 193-193

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 17th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2013, held Boston, MA, USA, in May 2013. The 10 revised papers presented were carefully reviewed and selected from 20 submissions. The papers cover the following topics parallel scheduling for commercial environments, scientific computing, supercomputing and cluster platforms.

Keywords

distributed systems grid computing high performance computing massively parallel and high-performance simulations scheduling

Editors and affiliations

  • Narayan Desai
    • 1
  • Walfredo Cirne
    • 2
  1. 1.Mathematics & Computer Science DivisionArgonne National LaboratoryArgonneUSA
  2. 2.GoogleMountain ViewUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-43779-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-43778-0
  • Online ISBN 978-3-662-43779-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349