The high-performance computing I/O stack has been complex due to multiple software
layers, the inter-dependencies among these layers, and the different performance tuning …

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 …

Parallel Input output is an essential component of modern high-performance computing
(HPC). Obtaining good I/O performance for a broad range of applications on diverse HPC …

Monitoring and analyzing I/O behaviors is critical to the efficient utilization of parallel storage
systems. Unfortunately, with increasing I/O requirements and resource contention, I/O …

Large-scale high-performance computing (HPC) applications running on supercomputers
produce large amounts of data routinely and store it in files on multi-PB shared parallel …

Secure Computation (SC) is a family of cryptographic primitives for computing on encrypted
data in single-party and multi-party settings. SC is being increasingly adopted by industry for …

The increasing gap between the computation performance of post-petascale machines and
the performance of their I/O subsystem has motivated many I/O optimizations including …

Material classification is an important area of research in computer vision. Typical algorithms
use color and texture information for classification, but there are problems due to varying …

Neither the memory capacity, memory access speeds, nor disk bandwidths are increasing at
the same rate as the computing power in current and upcoming parallel machines. This has …

Using memory located on remote machines, or far memory, as a swap space is a promising
approach to meet the increasing memory demands of modern datacenter applications …