High performance computing (HPC) systems often require substantial resources, and can
take up to several hours or days to execute. Upon a failure, it is important to loose as little …

Graph analytics systems are used in a wide variety of applications including health care,
electronic circuit design, machine learning, and cybersecurity. Graph analytics systems must …

Supercomputers continue to increase in scale and complexity to meet the demands of
science and engineering. Exascale systems face high error rates due to increasing scale (10 …

Distributed Systems (DS) where multiple computers share a workload across a network, are
used everywhere, from data intensive computations to storage and machine learning. DS …

Reduction is one of the most commonly used collective communication operations for
parallel applications. There are two problems for the existing reduction algorithms: First, they …

O MPI é um dos principais padrões para o desenvolvimento de aplicações paralelas e
distribuídas baseadas no paradigma de troca de mensagens. Diversos sistemas de …

Checkpoint and recovery cost imposed by checkpoint/restart (CP/R) is a crucial performance
issue for high-performance computing (HPC) applications. In comparison, Algorithm-Based …

The push toward interdisciplinary research has expanded the interactions and complexity of
research tasks. In the course of this dissertation, we explore three separate, but ultimately …

Notice of Retraction<BR>Differences of Competitive Sports Views in Chinese and Western
Sports Culture Page 1 Notice of Retraction After careful and considered review of the content of …