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

This paper presents and evaluates a universal algorithm to improve the performance of MPI
collective communication operations on hierarchical clusters with many-core nodes. This …

We evaluate the architectural support of collective communication operations on the IBM
SP2, Cray T3D, and Intel Paragon. The MPI performance data are obtained from the STAP …

MPI provides a portable message passing interface for many parallel execution platforms
but may lead to inefficiencies for some platforms and applications. In this article, we show …

We introduce Cartesian Collective Communication as sparse, collective communication
defined on processes (processors) organized into d-dimensional tori or meshes. Processes …

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 …

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

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

Collective operations are widely used by MPI applications to realize their communication
patterns. Their efficiency is crucial for both performance and scalability of parallel …

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 …