Examples of using Parallel computing in English and their translations into Arabic
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Computer
Parallel Computing.
It takes better advantage of Parallel Computing.
FPGA: Parallel computing technology with FPGA as core.
PyOpenCL you access to the API for parallel computing with Python OpenCL.
In parallel computing, a barrier is a type of synchronization method.
Ask me about computational simulation, parallel computing, wavelets.
We promised parallel computing benchmarks lately. Here we go.
PyOpenCL provides access to the API for parallel computing OpenCL to Python.
Parallel Computing, also called Multitasking is when a software executes more then 1 task at a time.
FCPC high performance embedded parallel computing platform is developed by BRAVO.
Grid computing=====Grid computing is the most distributed form of parallel computing.
Bit-level parallelism is a form of parallel computing based on increasing processor word size.
Grid computing is the most distributed form of parallel computing.
BRAVO spend 3 years on ARM cluster A/V parallel computing platform, provide low power, lowcost, high.
A cellular architectureis a type of computer architecture prominent in parallel computing.
Her research interests include: Algorithms, Parallel Computing, and Artificial Intelligence.
Parallel computing is used in a wide range of fields, from bioinformatics(protein folding and sequence analysis) to economics(mathematical finance).
With the end of frequency scaling, these additional transistors(which are no longer used for frequency scaling)can be used to add extra hardware for parallel computing.
Performance parallel computing platform for large scale A/V encoding and transcoding, cloud computing for streaming media, net work games, CDN computing. .
We are trying to help Creaturescapable of producing a large number of in your mind Parallel computing, calculations, or watch(in the mind)parallel operation of large quantities of their simulated situations.
As a parallel computing architecture released by NVIDIA, CUDA enables dramatic increases in computing performance by harnessing the power of the GPU(graphics processing unit).
UNOSAT will continue its research activity, jointly with the European Organization for Nuclear Research(CERN),on the use of parallel computing(known as grid technologies) and the development of compression algorithms.
And the CUDA, a parallel computing platform made by Nvidia, uses GPU hardware to perform accelerated interconversion of video file formats, which consequently releases your CPU.
Thinking Machines made some of the most powerful supercomputers of the time, and by 1993 the four fastestcomputers in the world were Connection Machines.[2] The firm filed for bankruptcy in 1994; its hardware and parallel computing software divisions were acquired in time by Sun Microsystems.
When parallel computing was provided by the transputer, Keith Bowden described how diakoptics might be applied.[10] It is an ongoing open question how the parallelism of Quantum Computing may be relevant.
Its big-data capable architecture includes ScaleR algorithms optimised for fast parallel execution,DistributedR parallel computing framework for managing compute resources, and ConnectR for versatile connections to data sources.
The platform integrate general parallel computing with professional business processing, have high speed engine for different A/V processing, support sub cards to hot plug, can make integrated solutions for customer.
In spring 2002, several centres of excellence in space science and applications,including high-energy astrophysics, parallel computing, complex fluids in microgravity, precision agriculture, and space applications in medicine and health monitoring.
Thinking Machines alumni(known as"Thunkos") helped create several parallel computing software start-ups, including Ab Initio Software; and Applied Parallel Technologies, which was later renamed Torrent Systems and acquired by Ascential Software, which was in turn acquired by IBM.
In the area of research, also a vital function of UNITAR, the European Organization for Nuclear Research(CERN)and UNOSAT are working on Grid technology(high-intensity parallel computing for the treatment of large data) and also on new methods for feature recognition in satellite imagery, underground water identification and other future applications.