Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing largescale computation. The...
The computing community has long faced the problem of scientifically comparing different computers and different algorithms. When architecture, method, precision, or storage capac...
We introduce a parallelization of the maximumlikelihood cosine transform. This transform consists of a computationally intensive iterative fitting process, but is readily decompo...
Hoda El-Sayed, Marc Salit, John Travis, Judith Ell...
OpenMP allows programmers to specify nested parallelism in parallel applications. In the case of scientific applications, parallel loops are the most important source of paralleli...
Abstract. We address the problem of designing and building efficient custom Vl.Sl-besed processors to do computations on large multi-dimensional lattices. The design tradeoffs for ...
Steven D. Kugelmass, Kenneth Steiglitz, Richard K....