Abstract. Geoscience analysis is currently limited by cumbersome access and manipulation of large datasets from remote sources. Due to their data-heavy and compute-light nature, th...
Daniel L. Wang, Charles S. Zender, Stephen F. Jenk...
Data-parallel programs are both growing in importance and increasing in diversity, resulting in specialized processors targeted at specific classes of these programs. This paper ...
Karthikeyan Sankaralingam, Stephen W. Keckler, Wil...
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
This paper presents a new constraint-driven method for computational pattern selection, mapping and application scheduling using reconfigurable processor extensions. The presente...
Kevin Martin, Christophe Wolinski, Krzysztof Kuchc...
In this paper, we outline general design steps of our synthesis tool to realize application specific co-processors such that for a given scientific application having intensive ite...