ICS '88 Proceedings of the 2nd international conference on Supercomputing
A microbenchmark suite for OpenMP 2.0
ACM SIGARCH Computer Architecture News - Special Issue: PACT 2001 workshops
MPC: A Unified Parallel Runtime for Clusters of NUMA Machines
Euro-Par '08 Proceedings of the 14th international Euro-Par conference on Parallel Processing
MPC-MPI: An MPI Implementation Reducing the Overall Memory Consumption
Proceedings of the 16th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Techniques supporting threadprivate in OpenMP
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Automatic MPI to AMPI program transformation using photran
Euro-Par 2010 Proceedings of the 2010 conference on Parallel processing
Enabling low-overhead hybrid MPI/OpenMP parallelism with MPC
IWOMP'10 Proceedings of the 6th international conference on Beyond Loop Level Parallelism in OpenMP: accelerators, Tasking and more
Preserving the original MPI semantics in a virtualized processor environment
Science of Computer Programming
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With the advent of the multicore era, the architecture of supercomputers in HPC (High-Performance Computing) is evolving to integrate larger computational nodes with an increasing number of cores. This change contributes to evolve the parallel programming models currently used by scientific applications. Multiple approaches advocate for the use of thread-based programming models. One direction is the exploitation of the thread-based MPI programming model mixed with OpenMP leading to hybrid applications. But mixing parallel programming models involves a fine management of data placement and visibility. Indeed, every model includes extensions to privatize some variable declarations, i.e., to create a small amount of storage only accessible by one task or thread. This article proposes an extension to the Thread-Local Storage (TLS) mechanism to support data placement in the thread-based MPI model and the data visibility with nested hybrid MPI/OpenMP applications.