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 …

Abstract Machine learning techniques have become ubiquitous both in industry and
academic applications. Increasing model sizes and training data volumes necessitate fast …

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 …

Current High-Performance Computing (HPC) and data center networks rely on large-radix
routers. Hamming graphs (Cartesian products of complete graphs) and dragonflies (two …

Adaptive routing is an efficient congestion avoidance mechanism for modern Data enter and
HPC networks. Congestion detection traditionally relies on the occupancy of the router …

Compared with electrical packet switches, optical switching technology could enable a more
desirable high-performance computing (HPC) system with lower power consumption, lower …

High-radix hierarchical structures, such as the dragonfly, fat-tree, and torus, are cost-
effective topologies for high-performance computer (HPC) networks. In these networks …

Communication is crucial to the performance of distributed training. Today's solutions tightly
couple the control and data planes and lack flexibility, generality, and performance. In this …

The dragonfly network topology has attracted attention in recent years owing to its high radix
and constant diameter. However, the influence of job allocation on communication time in …

The fast Fourier transform (FFT) has applications in almost every frequency related study, for
example, in image and signal processing, and radio astronomy. It is also used as a Poisson …