High-radix, low-diameter dragonfly networks will be a common choice in next-generation
supercomputers. Preliminary studies show that random job placement with adaptive routing …

The increasing complexity of HPC systems has introduced new sources of variability, which
can contribute to significant differences in run-to-run performance of applications. With …

Supercomputer design is a complex, multi-dimensional optimization process, wherein
several subsystems need to be reconciled to meet a desired figure of merit performance for …

The Dragonfly topology provides low-diameter connectivity for high-performance computing
with all-to-all global links at the inter-group level. Our traffic matrix characterization of various …

Torus networks are an attractive topology in supercomputing, balancing the tradeoff
between network diameter and hardware costs. The nodes in a torus network are connected …

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 …

While it is widely acknowledged that network congestion in High Performance Computing
(HPC) systems can significantly degrade application performance, there has been little to no …

Application performance variability caused by network contention is a major issue on
dragonfly based systems. This work-in-progress study makes two contributions. First, we …

This work evaluates performance variability in the Cray Aries dragonfly network and
characterizes its impact on MPI Allreduce. The execution time of Allreduce is limited by the …

Large-scale high-performance computing (HPC) systems in the form of supercomputers and
warehouse-scale data centers permeate nearly every corner of modern life from applications …