Massively parallel (computing) - Wikipedia, the free encyclopedia In computing, massively parallel refers to the use of a large number of processors (or separate computers) to perform a set of coordinated computations in parallel. In one approach, e.g., in grid computing the processing power of a large number of compute
Parallel Computing Institute Parallel Computing Institute research faculty member and CS Professor Dan Roth was one of six University of Illinois at Urbana-Champaign faculty members have been elected 2014 Fellows of the American Association for the Advancement of Science. The other .
Parallel programming model - Wikipedia, the free encyclopedia In computer software, a parallel programming model is a model for writing parallel programs which can be compiled and executed. The value of a programming ...
Parallel processing - Wikipedia, the free encyclopedia Parallel processing by the brain[edit]. Parallel processing is the ability of the brain to simultaneously process incoming stimuli of differing quality. This becomes ...
Parallel Computing - Journal - Elsevier Parallel Computing is an international journal presenting the practical use of parallel computer systems, including high performance architecture,...
Heterogeneous Parallel Programming - Coursera Heterogeneous Parallel Programming is a free online class taught by Wen-mei W . Hwu of University of Illinois at Urbana-Champaign.
Introduction to Parallel Programming With CUDA - Udacity Learn the fundamentals of parallel computing with the GPU and the CUDA programming environment! In this class, you'll learn about parallel programming by ...
Parallel Computing Toolbox - MATLAB - MathWorks Parallel Computing Toolbox enables you to harness a multicore computer, GPU, cluster, grid, or cloud to solve computationally and data-intensive problems.
International Journal of Parallel Programming – incl. option to ... International Journal of Parallel Programming is a forum for the publication of peer-reviewed, high-quality original papers in the computer and information ...
