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Efficiently bootstrapping extreme scale software systems


Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/17430

Efficiently bootstrapping extreme scale software systems

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Title: Efficiently bootstrapping extreme scale software systems
Author: Goehner, Joshua
Advisor(s): Arnold, Dorian
Committee Member(s): Arnold, Dorian
Bridges, Patrick
Tapia, Lydia
Ahn, Dong
Lee, Greg
Department: University of New Mexico. Dept. of Computer Science
Subject: high-performance computing
scalable systems
process launching
Lightweight Infrastructure-Bootstrapping Infrastructure
LC Subject(s): High performance computing.
Parallel processing (Electronic computers).
Computer networks--Scalability.
Degree Level: Masters
Abstract: Many scientific fields and commercial industries need to solve computationally large problems. These problems can often be broken into smaller tasks, which can be executed in parallel, on large computer systems. In pursuit of solving ever larger problems in a more timely manner, the number of nodes in these large computer systems have grown to extremely large scales. All of the extreme-scale-software systems that run on these extreme-scale-computational systems go through what we call a bootstrapping phase. During this phase, the software system is deployed onto a set of computers and its initialization information is disseminated. In this thesis, we present a framework called the Lightweight Infrastructure-Bootstrapping Infrastructure (LIBI) to support extreme-scale-software systems during their bootstrapping phase. The contributions of this thesis are as follows: a classification system for process-launching strategies, an algorithm for creating an optimal-process-launching strategy, an implementation of LIBI and a performance evaluation of LIBI. Our performance evaluation demonstrates that we decreased the time required for software system bootstrapping by up to 50%.
Graduation Date: December 2011
URI: http://hdl.handle.net/1928/17430

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