The multiplication of cores in today's architectures raises the importance of intra-node
communication in modern clusters and their impact on the overall parallel application …

Collective operations are used in MPI programs to express common communication
patterns, collective computations, or synchronization. In many collectives, such as …

Message Passing Interface (MPI), thus far, has remained a dominant programming model to
program large-scale scientific applications. Collective communication operations in MPI are …

Multi-/many-core CPU based architectures are seeing widespread adoption due to their
unprecedented compute performance in a small power envelope. With the increasingly …

State-of-the-art designs for the hierarchical reduction collective operation in MPI that work on
the concept of distributed address spaces incur the cost of intermediate copies inside the …

In this paper, we analyze the spatio-temporal human characteristic of moving silhouettes in
frequency domain, and find key Fourier descriptors that have better discriminatory capability …

Message Passing Interface (MPI) implementations provide a great flexibility to allow users to
arbitrarily bind processes to computing cores to fully exploit clusters of multicore/many-core …

With the number of cores per node increasing in modern clusters, an efficient
implementation of intra-node communications is critical for application performance. MPI …

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

A considerable disadvantage that comes with the downscaling of the CMOS technology is
the ever-increasing susceptibility of Integrated Circuits (ICs) to soft errors. Therefore, the …