Modern computing systems are highly affected by large performance variability, resulting in
a long tail in the distribution of the network latency. For communication-intensive …

Large-scale compute clusters are highly affected by performance variability that originates
from different sources. Among these sources, the network plays an essential role as a …

Dragonflies are recent network designs that are one of the most promising topologies for the
Exascale effort due to their scalability and cost. While being able to achieve very high …

In this paper, we study the impacts of latency variation versus latency mean on application
runtime, library performance, and packet delivery. Our contributions include the design and …

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 …

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 …

Interconnection networks are increasing in importance as node counts increase in high-end
machines. To achieve better application performance, newer supercomputers frequently …

An emerging trend in High Performance Computing (HPC) systems that use hierarchical
topologies (such as dragonfly) is that the applications are increasingly exhibiting high run-to …

Dragonfly class of networks are promising interconnect topologies that support current and
next-generation high-performance computing (HPC) systems. Serving as the" central …

The development of new exascale supercomputers has dramatically increased the need for
fast, high-performance networking technology. Efficient network topologies, such as …