Title page for ETD etd-02152005-173648


Type of Document Master's Thesis
Author Swaminathan, Gautam
Author's Email Address gswami@microsoft.com
URN etd-02152005-173648
Title A scheduling framework for dynamically resizable parallel applications
Degree Master of Science
Department Computer Science
Advisory Committee
Advisor Name Title
Ribbens, Calvin J. Committee Chair
Kafura, Dennis G. Committee Member
Varadarajan, Srinidhi Committee Member
Keywords
  • Dynamic resizing
  • parallel applications
  • MPI-2
  • scheduling framework
Date of Defense 2004-06-18
Availability restricted
Abstract
Applications in science and engineering require large parallel systems in order to solve computational problems within a reasonable timeframe. These applications can benefit from dynamic resizing during the course of their execution. Dynamic resizing enables fine-grained control over resource allocation to jobs and results in better system throughput and job turn around time. We have implemented a framework that enabled dynamic resizing of MPI applications. Our framework uses the recently released MPI-2 standard that enables dynamic resizing. The work described in this thesis is part of a larger effort to design and implement a system for supporting and leveraging dynamically resizable parallel applications. We provide a scheduling framework, an API for dynamic resizing and libraries to efficiently redistribute data to new processor topologies.
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