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Start Over Graduate Program Computer Science and Engineering Year 2014 Committee Member Mahmut Taylan Kandemir Keyword Hybrid Solvers Keyword Sparse Keyword Energy Aware

1. Improving Performance and Energy of Parallel Sparse Computations through Hybrid Linear Solvers and Model-driven Optimization

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Open Access
Author:
Booth, Joshua Dennis
Title:
Improving Performance and Energy of Parallel Sparse Computations through Hybrid Linear Solvers and Model-driven Optimization
Graduate Program:
Computer Science and Engineering
Keywords:
Numerical
Sparse
Linear Solvers
High Performance Computing
Model-Driven
Energy Aware
Hybrid Solvers
Irregular Problems
File:
Download Booth-ThesisMain-V3.pdf
Committee Members:
Padma Raghavan, Dissertation Advisor/Co-Advisor
Mahmut Taylan Kandemir, Committee Member
Kamesh Madduri, Committee Member
Christopher J Duffy, Special Member

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