We present a comprehensive survey on parallel I/O in the high-performance computing
(HPC) context. This is an important field for HPC because of the historic gap between …

With exascale computing on the horizon, the performance variability of I/O systems
represents a key challenge in sustaining high performance. In many HPC applications, I/O is …

Dynamic voltage and frequency scaling (DVFS) is a well-known technique to reduce the
power and/or energy consumption of various applications. While most processors provide …

With the massive scale of high-performance computing systems, long-running scientific
parallel applications periodically save the state of their execution to files called checkpoints …

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

The ever-increasing data needs of scientific and engineering applications require novel
approaches to managing and exploring huge amounts of information in order to advance …

This paper presents the design and implementation of a storage system for high
performance systems based on a multiple level I/O caching architecture. The solution relies …

This paper presents a study of I/O scheduling techniques applied to the I/O forwarding layer.
In high-performance computing environments, applications rely on parallel file systems …

Storage capacity is a constraint for current mobile devices. Mobile Cloud Computing (MCC)
is developed to augment device capabilities, facilitating to mobile users store/access of a …

A critical performance challenge in distributed scientific workflows is coordinating tasks and
data flows on distributed resources. To guide these decisions, this paper introduces data …