Job Scheduling Strategies for Parallel Processing

7th International Workshop, JSSPP 2001, Cambridge, MA, USA, June 16, 2001, Revised Papers
2001
ISBN: 978-3-540-42817-6
Verlag: Springer Berlin Heidelberg

Buch, Englisch, Band 2221, 216 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 347 g

Reihe: Lecture Notes in Computer Science

This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2001, held in Cambridge, MA, USA, in June 2001.
The 11 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision, and present state-of-the-art results in the area.

Zielgruppe

Research

Autoren/Hrsg.

Rudolph, Larry

Feitelson, Dror G.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Hochleistungsrechnen, Supercomputer
• Mathematik | Informatik EDV | Informatik Betriebssysteme Windows Betriebssysteme
• Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
• Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen

Inhaltsverzeichnis

Performance Evaluation with Heavy Tailed Distributions.- SRPT Scheduling for Web Servers.- An Efficient and Scalable Coscheduling Technique for Large Symmetric Multiprocessor Clusters.- Coscheduling under Memory Constraints in a NOW Environment.- The Influence of Communication on the Performance of Co-allocation.- Core Algorithms of the Maui Scheduler.- On the Development of an Efficient Coscheduling System.- Effects of Memory Performance on Parallel Job Scheduling.- An Integrated Approach to Parallel Scheduling Using Gang-Scheduling, Backfilling, and Migration.- Characteristics of a Large Shared Memory Production Workload.- Metrics for Parallel Job Scheduling and Their Convergence.