Publications of year 2013

Thesis

Conference articles

<table border=1 align=center width=80%> Abstract: In this paper, we present some solutions to handle to 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 spare linear system with some comparisons with the Intel TBB approach. </table>

Internal reports