Machine learning is widely used in practice to produce predictive models for applications
such as image processing, speech and text recognition. These models are more accurate …

This tutorial presents the details of the interconnection network utilized in many high
performance computing (HPC) systems today.“InfiniBand” is the hardware interconnect …

A significant issue in fault injection experiments is that the injected faults are representative
of software faults observed in the field. Another important issue is the time used, as we want …

The recent line of research into topology design focuses on lowering network diameter.
Many low-diameter topologies such as Slim Fly or Jellyfish that substantially reduce cost …

Efficient deadlock-free routing strategies are crucial to the performance of large-scale
computing systems. There are many methods but it remains a challenge to achieve lowest …

The de-facto standard topology for modern HPC systems and data-centers are Folded Clos
networks, commonly known as Fat-Trees. The number of network endpoints in these …

The growing system size of high performance computers results in a steady decrease of the
mean time between failures. Exchanging network components often requires whole system …

Several approaches and techniques exist to resolve load balancing problem in general and
torus topology networks. Graph methods are natural ways to perform balancing of routing …

The interconnection network has a large influence on total cost, application performance,
energy consumption, and overall system efficiency of a supercomputer. Unfortunately …

Lossless interconnection networks are omnipresent in high performance computing
systems, data centers and network-on-chip architectures. Such networks require efficient …