Neighborhood collectives were added to the Message Passing Interface (MPI) to better
support sparse communication patterns found in many applications. These new collectives …

We propose a specification and discuss implementations of collective operations for parallel
stencil-like computations that are not supported well by the current MPI 3.1 neighborhood …

The MPI-3.0 standard introduced neighborhood collective to support sparse communication
patterns used in many applications. In this paper, we propose a hierarchical and distributed …

Traditional implementations of parallel graph operations on distributed memory platforms
are written using Message Passing Interface (MPI) point-to-point communication primitives …

Neighborhood collectives are introduced in MPI3. 0 standard to provide users with the
opportunitv to define their own communication patterns through the process topologv …

HPC applications rely on a distributed-memory parallel programming model to improve the
overall execution time. This leads to spawning multiple processes that need to communicate …

Abstract High-Performance Computing (HPC) represents the flagship domain in providing
high-end computing capabilities that play a critical role in helping humanity solve its hardest …

Abstract Message Passing Interface (MPI) is the de facto standard for communication in High
Performance Computing (HPC). MPI Processes compute on their local data while …

The performance of paralellized High Performance Computing (HPC) applications is tied to
the efficiency of the underlying processor-to-processor communication. In latency-bound …

As the demands of computational science and engineering simulations increase, the size
and capabilities of High Performance Computing (HPC) clusters are also expected to grow …