activity
20052020
most citedA Flexible Thread Scheduler for Hierarchical Multiprocessor Machines

7 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DC2020

Resiliency in Numerical Algorithm Design for Extreme Scale Simulations

Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt +33

This work is based on the seminar titled ``Resiliency in Numerical Algorithm Design for Extreme Scale Simulations'' held March 1-6, 2020 at Schloss Dagstuhl, that was attended by a…

cs.DC2014★ 2 cited

Taking advantage of hybrid systems for sparse direct solvers via task-based runtimes

Xavier Lacoste, Mathieu Faverge, George Bosilca +2

The ongoing hardware evolution exhibits an escalation in the number, as well as in the heterogeneity, of computing resources. The pressure to maintain reasonable levels of performa…

cs.PL2007

An Efficient OpenMP Runtime System for Hierarchical Arch

Samuel Thibault, François Broquedis, Brice Goglin +2

Exploiting the full computational power of always deeper hierarchical multiprocessor machines requires a very careful distribution of threads and data among the underlying non-unif…

cs.DC2007

Building Portable Thread Schedulers for Hierarchical Multiprocessors: the BubbleSched Framework

Samuel Thibault, Raymond Namyst, Pierre-André Wacrenier

Exploiting full computational power of current more and more hierarchical multiprocessor machines requires a very careful distribution of threads and data among the underlying non-…

cs.HC2007★ 2 cited

BrlAPI: Simple, Portable, Concurrent, Application-level Control of Braille Terminals

Samuel Thibault, Sebastien Hinderer

Screen readers can drive braille devices for allowing visually impaired users to access computer environments, by providing them the same information as sighted users. But in some…

cs.DC2005★ 7 cited

A Flexible Thread Scheduler for Hierarchical Multiprocessor Machines

Samuel Thibault

With the current trend of multiprocessor machines towards more and more hierarchical architectures, exploiting the full computational power requires careful distribution of executi…