The efficient implementation of collective communication operations has received much
attention. Initial efforts modeled network communication and produced" optimal" trees based …

The performance of the MPI's collective communications is critical in most MPI-based
applications. A general algorithm for a given collective communication operation may not …

The advances in multicore technology and modern interconnects is rapidly accelerating the
number of cores deployed in today's commodity clusters. A majority of parallel applications …

Metacomputing infrastructures couple multiple clusters (or MPPs) via wide-area networks. A
major problem in programming parallel applications for such platforms is their hierarchical …

Collective operations and non-blocking point-to-point operations have always been part of
MPI. Although non-blocking collective operations are an obvious extension to MPI, there …

Networks of Workstations (NOW) have become an attractive alternative platform for high
performance computing. Due to the commodity nature of workstations and interconnects and …

This paper presents an MPI implementation that allows an easy and efficient use of the
interconnection of several clusters, of potentially heterogeneous nature (as far as the …

Multicore Clusters, which have become the most prominent form of High Performance
Computing (HPC) systems, challenge the performance of MPI applications with non uniform …

Most parallel systems on which MPI is used are now hierarchical, such as systems with SMP
nodes. Many papers have shown algorithms that exploit shared memory to optimize …

This paper presents a new low-level communication subsystem called Nemesis. Nemesis
has been designed and implemented to be scalable and efficient both in the intranode …