Filters: Author is Zhong, Ziming [Clear All Filters]
"Out-of-core Implementation for Accelerator Kernels on Heterogeneous Clouds",
The Journal of Supercomputing, vol. 74, issue 2, pp. 551-568, 2018.
Download: paper.pdf (762.34 KB)
"Data Partitioning on Multicore and Multi-GPU Platforms Using Functional Performance Models",
IEEE Transactions on Computers, vol. 64, issue 9: IEEE, pp. 2506-2518, 09/2015.
Download: 06975085.pdf (2.08 MB)
"Optimization of Data-Parallel Scientific Applications on Highly Heterogeneous Modern HPC Platforms",
School of Computer Science and Informatics, Dublin, University College Dublin, pp. 142, 08/2014.
Abstract
Download: ziming_thesis.pdf (1.06 MB)
"Design and optimization of scientific applications for highly heterogeneous and hierarchical HPC platforms using functional computation performance models",
High-Performance Computing on Complex Environments: Wiley, pp. 235-260, 2014.
Download: fpm-complexhpc-web.pdf (634.61 KB)
"FuPerMod: a software tool for the optimization of data-parallel applications on heterogeneous platforms",
The Journal of Supercomputing, vol. 69, issue 1: Springer US, pp. 61- 69, 2014.
Download: fupermod-jos-2014.pdf (276.83 KB)
"FuPerMod: A Framework for Optimal Data Partitioning for Parallel Scientific Applications on Dedicated Heterogeneous HPC Platforms",
12th International Conference on Parallel Computing Technologies (PaCT-2013), St. Petersburg, Russia, Lecture Notes in Computer Science 7979, Springer, pp. 182-196, 30 Sept - 4 Oct, 2013.
Download: pact2013-fupermod.pdf (367.48 KB)
"Data Partitioning on Heterogeneous Multicore and Multi-GPU Systems Using Functional Performance Models of Data-Parallel Applications",
2012 IEEE International Conference on Cluster Computing (Cluster 2012), Beijing, China, pp. 191-199, 24-28 September, 2012.
Download: Cluster2012.pdf (265.71 KB)
"Data Partitioning on Heterogeneous Multicore Platforms",
2011 IEEE International Conference on Cluster Computing (Cluster 2011), Austin, Texas, USA, IEEE Computer Society, pp. 580-584, Sept 26-30, 2011.
Download: cluster2011.pdf (269.7 KB)