Brigitte Yzel 12 May 2019The annual Sparse Days meeting will be held at CERFACS in Toulouse on 11th and 12th July 2019.Registration for the Sparse Days is free but we ask people who are coming to register as soon as possible although the deadline is June 14th. Please complete the registration form (deadline: June 14th) indicating whether you want to give a talk and whether you wish to attend the conference dinner.Although an emphasis will be on parallel aspects, any talk that has an association with sparsity is welcome.
.Part of thebook series (LNCS, volume 5168) AbstractOver the last decade, Message Passing Interface (MPI) has become a very successful parallel programming environment for distributed memory architectures such as clusters. However, the architecture of cluster node is currently evolving from small symmetric shared memory multiprocessors towards massively multicore, Non-Uniform Memory Access (NUMA) hardware.
Calcul Scientifique) is a scientific event of the SMAI (the french Society of. Adapted to be able to exploit novel parallel architectures, and, consequently. CO-PHOTO.COM Online Source For Free Ebook and Pdf Downloads Calcul Scientifique Parallele 2e Ed Cours Exemples Avec Openmp Et Mpi Exercices Corriges Frederic Magoules Francois Xavier Roux File.
Although regular MPI implementations are using numerous optimizations to realize zero copy cache-oblivious data transfers within shared-memory nodes, they might prevent applications from achieving most of the hardware’s performance simply because the scheduling of heavyweight processes is not flexible enough to dynamically fit the underlying hardware topology. This explains why several research efforts have investigated hybrid approaches mixing message passing between nodes and memory sharing inside nodes, such as MPI+OpenMP solutions 1,2. However, these approaches require lots of programming efforts in order to adapt/rewrite existing MPI applications.In this paper, we present the MultiProcessor Communications environnement (MPC), which aims at providing programmers with an efficient runtime system for their existing MPI, POSIX Thread or hybrid MPI+Thread applications. The key idea is to use user-level threads instead of processes over multiprocessor cluster nodes to increase scheduling flexibility, to better control memory allocations and optimize scheduling of the communication flows with other nodes. Most existing MPI applications can run over MPC with no modification. We obtained substantial gains (up to 20%) by using MPC instead of a regular MPI runtime on several scientific applications.