Ashley DeFlumere
"Recent Advances in Matrix Partitioning for Parallel Computing on Heterogeneous Platforms",
IEEE Transactions on Parallel and Distributed Systems, vol. 30, issue 1: IEEE, pp. 218-229, 01/2019.
Download: recent-advances-matrix.pdf (2.77 MB)
"Optimal Data Partitioning Shape for Matrix Multiplication on Three Fully Connected Heterogeneous Processors",
12th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar'2014), Porto, Portugal, 25 August, 2014.
Download: heteropar2014.pdf (772.84 KB)
"Searching for the Optimal Data Partitioning Shape for Parallel Matrix Matrix Multiplication on 3 Heterogenous Processors",
23rd International Heterogeneity in Computing Workshop (HCW 2014), Phoenix, Arizona, USA, IEEE Computer Society, 19 May, 2014.
Download: HCW-2014-05.pdf (510.38 KB)
"Optimal Partitioning for Parallel Matrix Computation on a Small Number of Abstract Heterogeneous Processors",
School of Computer Science and Informatics, Dublin, University College Dublin, pp. 161, 09/2014.
Abstract
Download: AshleyPhDThesis.pdf (3.22 MB)
"Partitioning for Parallel Matrix-Matrix Multiplication with Heterogeneous Processors: The Optimal Solution",
21st International Heterogeneity in Computing Workshop (HCW 2012), Shanghai, China, IEEE Computer Society, May 21, 2012.
Download: PID2221951.pdf (677.03 KB)
"Theoretical Results on Optimal Partitoning for Matrix-Matrix Multiplication with Two Processors",
School of Computer Science and Informatics, University College Dublin, no. UCD-CSI-2011-09, 09/2011.
Download: ucd-csi-2011-09.pdf (678.89 KB)
