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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