Load Partitioning for Matrix-Matrix Multiplication on a Cluster of CPUGPU Nodes Using the Divisible Load Paradigm

Load Partitioning for Matrix-Matrix Multiplication on a Cluster of CPUGPU Nodes Using the Divisible Load Paradigm

A Master of Science thesis in Computer Engineering by Lamees Elhiny entitled, "Load Partitioning for Matrix-Matrix Multiplication on a Cluster of CPUGPU Nodes Using the Divisible Load Paradigm," submitted in November 2016. Thesis advisor is Dr. Gerassimos Barlas. Soft and hard copy availab...

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Bibliographic Details
Main Author: Elhiny, Lamees (author)
Format: doctoralThesis
Published: 2016
Subjects:
hybrid processing
parallel processing
load partitioning
matrixmatrix multiplication
divisible load theory
Matrices
Data processing
Multiplication
Computer engineering
Online Access:http://hdl.handle.net/11073/8695
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http://hdl.handle.net/11073/8695

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