1. Improving Performance and Energy of Parallel Sparse Computations through Hybrid Linear Solvers and Model-driven Optimization 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: NumericalSparseLinear SolversHigh Performance ComputingModel-DrivenEnergy AwareHybrid SolversIrregular Problems File: Download Booth-ThesisMain-V3.pdf Committee Members: Padma Raghavan, Dissertation Advisor/Co-AdvisorMahmut Taylan Kandemir, Committee MemberKamesh Madduri, Committee MemberChristopher J Duffy, Special Member
