The growing computing power on leadership HPC systems is often accompanied by ever-
escalating failure rates. Checkpointing is a common defensive mechanism used by scientific …

The Spark framework has been tremendously powerful for performing Big Data analytics in
distributed data centers. However, using Spark to analyze large-scale scientific data on HPC …

Scientific workflows on High-Performance Computing (HPC) consist of multiple data
processing and computing tasks with dependencies. Efficiently scheduling computing …

Distributed storage systems play an increasingly critical role in data centers to meet the ever-
increasing data growth demand. Heterogeneous storage systems, with the coexistence of …

Obstructive Sleep Apnea (OSA) is a common sleep disorder which is characterized by
recurrent blockage of the upper airway, often resulting in oxygen desaturation. Attended …

The non-contiguous access pattern of many scientific applications results in a large number
of I/O requests, which can seriously limit the data-access performance. Collective I/O has …

Solid-state Drives (SSDs) have changed the landscape of storage systems and present a
promising storage solution for data-intensive applications due to their low latency, high …

Solid State Drives (SSDs) using flash memory storage technology present a promising
storage solution for data-intensive applications due to their low latency, high bandwidth, and …

Scientific workflows often consist of black-box stand-alone programs that each write to one
or more files, resulting in significant I/O operations. When strung together, each stage of the …

The symbolic-numeric computation has been extensively developed in scientific computing
for experimenting mathematics in numerical programs, like in optimization problems and …