Load Partitioning for Matrix-Matrix Multiplication on a Cluster of CPUGPU Nodes Using the Divisible Load Paradigm
Lamees Elhiny · DSpace at AUS (American University of Sharjah) · 2016
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 available.