Many scientific applications are conceptually built up from independent component tasks as
a parameter study, optimization, or other search. Large batches of these tasks may be …

This paper presents a technique that leverages an existing regression test selection
algorithm to compute accurate, updated coverage data on a version of the software, P i+ 1 …

Present days cores composing a system-on-chip might be interconnected by means of both
dedicated channels or shared buses. Nevertheless, future systems will have strong …

Swift/T: Scalable Data Flow Programming for Many-Task Applications Page 1 Swift/T: Scalable
Data Flow Programming for Many-Task Applications Justin M. Wozniak Argonne National …

We present Bamboo, a custom source-to-source translator that transforms MPI C source into
a data-driven form that automatically overlaps communication with available computation …

An overview of the most prominent contemporary parallel processing programming models,
written in a unique tutorial style. With the coming of the parallel computing era, computer …

The cost of executing a floating point operation has been decreasing for decades at a much
higher rate than that of moving data. Bandwidth and latency, two key metrics that determine …

Hardware architecture is increasingly complex, urging the development of asynchronous
runtime systems with advance resource and locality management supports. However, these …

Hiding communication behind useful computation is an important performance programming
technique but remains an inscrutable programming exercise even for the expert. We present …

Computational chemistry comprises one of the driving forces of High Performance
Computing. In particular, many-body methods, such as Coupled Cluster methods (CC)[1] of …