Collective operations are an important aspect of the currently most important message-
passing programming model MPI (message passing interface). Many MPI applications make …

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

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 …

Process arrival times at MPI collective operations differ significantly. Addressing this fact with
special handling for popular collective communication algorithms can yield performance …

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 …

Collective communication performance is critical in a number of MPI applications yet
relatively few results are available to assess the performance of MPI implementations …

Several MPI systems for grid environment, in which clusters are connected by wide-area
networks, have been proposed. However, the algorithms of collective communication in …

The paper describes the current version of mpi++, a C++ language binding for MPI, that
includes all of the collective services, and services for contexts, groups and communicators …

Massively parallel computers are increasingly being used to solve large, I/O intensive
applications in many different fields. For such applications, the I/O requirements quite often …

MPI collective operations on multi-core clusters should be multi-core aware. In this paper,
collective algorithms with hierarchical virtual topology focus on the performance difference …