The share of the top 500 supercomputers with NVIDIA GPUs is now over 25% and continues
to grow. While fault tolerance is a critical issue for supercomputing, there does not currently …

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 …

Message Passing Interface (MPI) programs often experience performance slowdowns due
to collective communication operations, like broadcasting and reductions. As modern CPUs …

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 …

The Message-Passing Interface (MPI) is the de-facto standard for designing and executing
applications on massively parallel hardware. MPI collectives provide a convenient …

Adaptive MPI is an implementation of the MPI standard that supports the virtualization of
ranks as user‐level threads, rather than OS processes. In this work, we optimize the …

Load balance is essential for high-performance applications. Unbalanced communication
can cause severe performance degradation, even in computation-balanced BSP …

With the emergence of larger multi-/many-core clusters and new areas of HPC applications,
performance of large message communication is becoming more important. MPI libraries …

The growth in many-core CPUs has motivated development of shared-memory,
multithreaded solutions to minimize communication and synchronization overheads in …