A new localized and computationally efficient approach is presented for shift/space-variant image restoration. Unlike conventional approaches, it models shift-variant blurring in...
This paper describes an object-oriented framework for solving computational fluid dynamics problems on parallel computers. The design and components of the framework are discussed ...
The thesis of this research is that the task of exposing the parallelism in a given application should be left to the algorithm designer, who has intimate knowledge of the applica...
A metascalable (or “design once, scale on new architectures”) parallel computing framework has been developed for large spatiotemporal-scale atomistic simulations of materials...
Ken-ichi Nomura, Richard Seymour, Weiqiang Wang, H...
Abstract. This paper proposes a method for implementing fractal image compression on dynamically reconfigurable architecture. In the encoding of this compression, metric computatio...