Due to their high peak performance and energy efficiency, massively parallel accelerators
such as GPUs are quickly spreading in high-performance computing, where large amounts …

The different rates of increase for computational power and storage capabilities of
supercomputers turn data storage into a technical and economical problem. Because …

Data employed in computations amongst multiple proces sors in a computing system is
processed so that less bits than a full representation of the data needs to be communicated …

Many scientific programs produce large amounts of floating-point data that are saved for
later use. To minimize the storage requirement, it is worthwhile to compress such data as …

This paper presents a new I/O technique called Selectively Parallel I/O Compression
(SPIOC) for providing high-speed storage and access to data in QoS enabled parallel …

(Continued) Primary Examiner—Mardochee Chery (57) ABSTRACT Data employed in
computations is processed so that during computations more of the data can be fit into or …

This paper presents a portable optimization for MPI communications, called PRAcTICaL-MPI
(Portable Adaptive Compression Library-MPI). PRAcTICaL-MPI reduces the data volume …

Parallel-in-time methods for solving initial value problems are a means to increase the
parallelism of numerical simulations. Hybrid parareal schemes interleaving the parallel-in …

Satisfying the global throughput targets of scientific applications is an important challenge in
high performance computing (HPC) systems. The main difficulty lies in the high number of …

A novel approach is presented to extract the contour of a region of interest (ROI) in
mammogram. It combines the threshold segmentation method and sequential edge linking …