How can unlabeled video augment visual learning? Existing methods perform" slow" feature
analysis, encouraging temporal coherence, where the image representations of temporally …

Unmatched computation and storage performance in new HPC systems have led to a
plethora of I/O optimizations ranging from application-side collective I/O to network and disk …

Modern scientific discovery is increasingly driven by large-scale supercomputing
simulations, followed by data analysis tasks. These data analyses are either performed …

An increasing number of large-scale distributed systems are being built by incorporating
Cloud, Fog, and Edge computing. There is an important need of understanding how to …

High performance computing fault tolerance depends on scalable parallel file system
performance. For more than a decade scalable bandwidth has been available from the …

The I/O subsystem for the Summit supercomputer, No. 1 on the Top500 list, and its
ecosystem of analysis platforms is composed of two distinct layers, namely the in-system …

DRAM is a precious resource in extreme-scale machines and is increasingly becoming
scarce, mainly due to the growing number of cores per node. On future multi-petaflop and …

Next generation science will increasingly come to rely on the ability to perform efficient, on-
the-fly analytics of data generated by high-performance computing (HPC) simulations …

With exascale computing on the horizon, reducing performance variability in data
management tasks (storage, visualization, analysis, etc.) is becoming a key challenge in …

As applications target extreme scales, data staging and in-situ/in-transit data processing
have been proposed to address the data challenges and improve scientific discovery …