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 …

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 …

In March 2021, the US Department of Energy's Advanced Scientific Computing Research
program convened the Workshop on Reimagining Codesign. The workshop, also known as …

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 …

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 …

Dragonfly is a highly scalable, low-diameter, and cost-efficient network topology, which has
been adopted in new exascale High Performance Computing (HPC) systems. However …

Interconnect networks play a key role in high-performance computing (HPC) systems.
Parallel discrete event simulation (PDES) has been a long-standing pillar for studying large …

The Message Passing Interface (MPI) is the most prominent and dominant programming
model for scientific computing in super-computing systems today. Although many general …

With the rapid growth of the machine learning applications, the workloads of future HPC
systems are anticipated to be a mix of scientific simulation, big data analytics, and machine …

Dragonfly class of networks are considered as promising interconnects for next-generation
supercomputers. While Dragonfly+ networks offer more path diversity than the original …