The applications being developed within the US Exascale Computing Project (ECP) to run
on imminent Exascale computers will generate scientific results with unprecedented fidelity …

One of the core issues across computer and computational science today is adapting to,
managing, and learning from the influx of" Big Data". In the commercial space, this problem …

Rapid growth in scientific data and a widening gap between computational speed and I/O
bandwidth make it increasingly infeasible to store and share all data produced by scientific …

With the increase of scale and complexity seen in a variety of leadership-class scientific
computation and simulation applications, it has become more important to understand their …

A cost-effective and effective agriculture management system is created by utilizing data
analytics (DA), internet of things (IoT), and cloud computing (CC). Geographic information …

In high-performance computing (HPC), data and metadata are stored on special server
nodes and client applications access the servers' data and metadata through a network …

As high-performance computing (HPC) systems have scaled up, resilience has become a
great challenge. To guarantee resilience, various kinds of hardware and software …

Checkpoint/Restart (C/R) is widely used to provide fault tolerance on High-Performance
Computing (HPC) systems. However, Parallel File System (PFS) overhead and failure …

The NAND flash memories have endurance issues in a high-performance computing (HPC)
environment because of their blocks' limited lifetime. Hence, the NAND flash block allocation …

Numerous design has been presented in recent time for reducing data access, retrieval
latency and improve data availability and accessibility in mobile adhoc network (MANET) …