Abstract We discuss data production rates and their impact on the performance of scientific applications using parallel computers. On one hand, too high rates of data production c...
Terry W. Clark, L. Ridgway Scott, Stanislaw Wloked...
The rapid growth of silicon densities has made it feasible to deploy reconfigurable hardware as a highly parallel computing platform. However, in most cases, the application needs...
Girish Venkataramani, Walid A. Najjar, Fadi J. Kur...
This paper describes the design and evaluation of the PCA (Plastic Cell Architecture) cell, which implements a novel space allocation method. PCA is a dynamically reconfigurable a...
In programming high performance applications, shared address-space platforms are preferable for fine-grained computation, while distributed address-space platforms are more suita...
Both inherently sequential code and limitations of analysis techniques prevent full parallelization of many applications by parallelizing compilers. Amdahl's Law tells us tha...