The allreduce operation is one of the most commonly used communication routines in
distributed applications. To improve its bandwidth and to reduce network traffic, this …

Cloud computing represents an appealing opportunity for cost-effective deployment of HPC
workloads on the best-fitting hardware. However, although cloud and on-premise HPC …

Dragonfly interconnect is a crucial network technol-ogy for supercomputers. To support
exascale systems, network resources are shared such that links and routers are not …

We present mpi4py. futures, a lightweight, asynchronous task execution framework targeting
the Python programming language and using the Message Passing Interface (MPI) for …

Performance variations caused by anomalies in modern High Performance Computing
(HPC) systems lead to decreased efficiency, impaired application performance, and …

Network congestion is one of the biggest problems facing HPC systems today, affecting
system throughput, performance, user experience, and reproducibility. Congestion manifests …

High-radix interconnects such as Dragonfly and its variants rely on adaptive routing to
balance network traffic for optimum performance. Ideally, adaptive routing attempts to …

Dragonfly is an indispensable interconnect topology for exascale HPC systems. To link tens
of thousands of compute nodes at a reasonable cost, Dragonfly shares network resources …

We propose a parallel (distributed) version of the spectral proper orthogonal decomposition
(SPOD) technique. The parallel SPOD algorithm distributes the spatial dimension of the …

System noise can negatively impact the performance of HPC systems, and the
interconnection network is one of the main factors contributing to this problem. To mitigate …