Graduation Semester and Year

2008

Language

English

Document Type

Thesis

Degree Name

Master of Science in Computer Science

Department

Computer Science and Engineering

First Advisor

David Levine

Abstract

Computing for science has very peculiar requirements. There is an enormous amount of data to analyze to get useful information. This requires greater computing power, huge data storage and high-capacity network. High Performance Computing (HPC) is the perfect solution that satisfies these requirements. Here, we look at two high performance implementations that provide useful solutions to computing problems in science, making possible scientific experiments and discoveries that otherwise would not have been possible.

Disciplines

Computer Sciences | Physical Sciences and Mathematics

Comments

Degree granted by The University of Texas at Arlington

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