Parallel computers have not yet had the expected impact on mainstream computing. Parallelism adds a level of complexity to the programming task that makes it very error-prone. More...
Parallel computers have the computing power needed to simulate biologically accurate neuronal network models. Partitioning is the process of cutting a model in pieces and assignin...
On screen division of objects for parallel volume rendering is considered in this paper. The suggested algorithm runs on private-memory based parallel computers. The notable chara...
Type and effect systems provide a safe and effective means of programming high-performance parallel computers with a high-level language that integrates both functional and impe...
This paper describes a modular and scalable simulation environment, called GloMoSim, to evaluate end-to-end performance of integrated wired and wireless networks. GloMoSim has been...
We are developing a compiler that translates ordinary MATLAB scripts into code suitable for compilation and execution on parallel computers supporting C and the MPI message-passin...
Michael J. Quinn, Alexey G. Malishevsky, Nagajagad...
This study1 explores the applicability of fully automatic parallelizing techniques for parallel computers. In this study, we capitalize on a variety of traditional compiling techn...
This paper presents performance results for the design and implementation of parallel pipelined Space-Time Adaptive Processing (STAP) algorithms on parallel computers. In particul...
Alok N. Choudhary, Wei-keng Liao, Donald Weiner, P...
Abstract. We present a new benchmark suite for parallel computers. SPEComp targets mid-size parallel servers. It includes a number of science/engineering and data processing applic...
Vishal Aslot, Max J. Domeika, Rudolf Eigenmann, Gr...
We review some recent progress in improving the speed of electron microscope tomography through highly parallel algorithms implemented on parallel computers, clusters and graphics...