A NUMA-Aware Fine Grain Parallelization Framework for Multi-core Architecture

Corentin Rossignon, Pascal Henon, Olivier Aumage, Samuel Thibault
2013 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum  
In this paper, we present some solutions to handle two problems commonly encountered when dealing with fine grain parallelization on multi-core architecture: expressing algorithm using a task grain size suitable for the hardware and minimizing the time penalty due to Non Uniform Memory Accesses. To evaluate the benefit of our work we present some experiments on the fine grain parallelization of an iterative solver for sparse linear system with some comparisons with the Intel TBB approach.
doi:10.1109/ipdpsw.2013.204 dblp:conf/ipps/RossignonHAT13 fatcat:7fkxf74bwjctnppge73xbkbpba