Parallel computing - Wikipedia, the free encyclopedia Optimally, the speed-up from parallelization would be linear—doubling the number of processing elements should halve the runtime, and doubling it a second time should again halve the runtime. However, very few parallel algorithms achieve optimal speed-up.
Parallel computing - Wikipedia, the free encyclopedia Parallel computer programs are more difficult to write than sequential ones, because concurrency introduces several new classes of potential software bugs, ...
Introduction to Parallel Computing As such, it covers just the very basics of parallel computing, and is intended for ... Unified Parallel C (UPC): an extension to the C programming language for ...
Parallel Computing Links "A scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die and a new generation grows up that is familiar with it." - Maxwell Planck Algorithms | Compilers | Computationa
Parallel Computing - Journal - Elsevier Parallel Computing is an international journal presenting the practical use of parallel computer systems, including high performance architecture,... ... SCImago Journal Rank (SJR): 2013: 0.850 SJR is a prestige metric based on the idea that not all citat
Parallel Computing Toolbox - MATLAB Parallel Computing Toolbox enables you to harness a multicore computer, GPU, cluster, grid, or cloud to solve computationally and data-intensive problems. The toolbox provides parallel for-loops, distributed arrays, and other high-level constructs.
Parallel Computing - ScienceDirect.com The online version of Parallel Computing at ScienceDirect.com, the world's leading platform for high quality peer-reviewed full-text journals. ... Highlights • An analysis model of file assignment and access are generalized. • A load prediction model in p
Parallel Computing — Julia Language 0.4.0-dev documentation Parallel Computing Most modern computers possess more than one CPU, and several computers can be combined together in a cluster. Harnessing the power of these multiple CPUs allows many computations to be completed more quickly. There are two major ...
CRAN Task View: High-Performance and Parallel Computing with R This CRAN task view contains a list of packages, grouped by topic, that are useful for high-performance computing (HPC) with R. In this context, we are defining 'high-performance computing' rather loosely as just about anything related to pushing R a litt
Features - Parallel Computing Toolbox - MathWorks - MATLAB and Simulink for Technical Computing Learn about the Parallel Computing Toolbox key features, which can help you perform parallel computations on multicore computers, GPUs, and computer clusters. ... Speeding Up Task-Parallel Applications You can speed up some applications by organizing them
