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parallel computing

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parallel computing

This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)

parallel computing

Solving a problem with multiple computers or computers made up of multiple processors. Parallel computing is an umbrella term for a variety of architectures, including symmetric multiprocessing (SMP), clusters of SMP systems, massively parallel processors (MPPs) and grid computing. See SMP, MPP, clustering, pipeline processing, vector processor, hypercube and grid computing.
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Through the above steps, the homomorphic operations will be optimized by the parallel computing, the running time of the homomorphic operations will be reduced, and the efficiency of the FHE scheme will be improved.
In terms of computational time, the first part is dominant over the second part, so this direct block triangle matrix solver naturally facilitates parallel computing.
CUDA is a parallel computing platform and programming model developed by NVIDIA.
For such computations, parallel computing is readily used by, for example, the Earth Simulator Center (Bruck et al.
In addition to incorporating massively parallel computing techniques that have been refined over many years by Fujitsu Limited and Fujitsu Laboratories Limited, the new software combines micromagnetics(3) with a finite-element method(4).
According to Cray, the new Cray CS300 cluster supercomputer, utilising Intel Xeon processors and NVIDIA Tesla K20X GPU accelerators, is custom engineered for Tsukuba CCS by integrating its Tightly Coupled parallel computing Acceleration (TCA) mechanism into a standard Cray CS300 system.
The 140 papers selected for the July 2013 conference share new developments in artificial intelligence, cryptography, machine learning, neural networks, parallel computing, web-based applications, and software specification.Special sessions focus on data mining for info-communication services, evolutionary computation in image and signal processing, evaluation of web information and human actions, wireless sensing systems, signal processing for social welfare, and experiences with software engineering.
All of the servers are designed for use in highly parallel computing environments, Acosta said.
"The super computer installed in NUST is the fastest GPU (Graphics Processing Unit) based parallel computing system operating in any organisation or academic institution in Pakistan till date," said, RCMS Principal Sikandar Hayat, while highlighting the special features of this facility.
While highlighting some of the unique features of this state-of-the-art computing facility, recently acquired by NUST through financial grant by Ministry of Science and Technology (MoST), Govt of Pakistan, Principal RCMS Engineer Sikandar Hayat informed the audience that the Super Computer installed in NUST was the fastest GPU (Graphics Processing Unit) based parallel computing system operating in any organization / academic institution in Pakistan till date.
Based on this knowledge and experience, HPC with Linux clusters are considered in order to build a parallel computing system that will play a core role in the next-generation systems for supercomputer.
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