Examples of using Parallel processing in English and their translations into Vietnamese
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Cuda technology for parallel processing from….
WEB Google runs on a distributed network of thousands of low-cost computers andcan therefore carry out fast parallel processing.
And their high speed parallel processing platform.
This technique allows the CPU to complete multiple data operations in a single instruction,essentially vectorizing and parallel processing the query.
Uses GPU, CPU and parallel processing to speed watermarking.
The main purpose of tiles is to allow for parallel processing.
These 3D simulations require a lot of parallel processing power, a hallmark of HPC, to render these live simulations.
Parallel processing becomes a key technology of the 21st century for not only scientific research, but also for commercial/industrial applications.
Every new leader has to do some parallel processing.
In the past, parallel processing was done with huge numbers of processors, such as an x86, but they were very expensive and difficult to program.
The purpose of shards is to provide parallel processing of transactions.
Such scaling reduces the computational run time in direct proportion to the number of GPUs used-a major requirement for efficient parallel processing.
Much of that has to do with the wide availability of GPUs that make parallel processing ever faster, cheaper, and more powerful.
Wavefront parallel processing(WPP) is when a slice is divided into rows of CTUs in which the first row is decoded normally but each additional row requires that decisions be made in the previous row.
But with 1&1 IONOS, you can add performance boosts and increase memory,RAM, or parallel processing capabilities whenever you need to.
The main point of difference of EOS with vCPU is its parallel processing technology that is made possible through the use of certain elements related to vertical scaling(i.e., adding processing  power).
Hadoop is an open source Java™ software framework similar to PaaS but focused on manipulating large data sets over a set of networked servers(inspired by Google MapReduce,which enables parallel processing of large data sets).
Much of that has to do with the wide availability of GPUs that make parallel processing faster, cheaper, and more powerful than ever before.
Those multi-core processors work simultaneously and the main advantages of using the multi-core CPU is that it quickly achieved the high performance,consuming less energy power and the multi-tasking or parallel processing is really efficient.
Graphics cards have tremendous power of parallel processing, can do many operations at the same time unlike processor makes calculations[…].
The practitioners of big data analytics processes are generally hostile to slower shared storage, preferring direct-attached storage(DAS) in its various forms from solid state disk(SSD)to high capacity SATA disk buried inside parallel processing nodes.
With more desire than ever to process large data-sets OpenMP, OpenCL, Go, CUDA,and other parallel processing languages and frameworks will continue to become mainstream.
Information import representation, MapReduce and Parallel Processing can be best accomplished with them, as an aftereffect of which the incorporated investigation stages must be continually redesigned, which is again made less demanding by them.
The Atanasoff-Berry Computer represented several innovations in computing,including a binary system of arithmetic, parallel processing, regenerative memory, and a separation of memory and computing functions.
In this video tutorial we will present a revolutionary new technology, devised by nvidia,it's CUDA parallel processing technology makes it possible to use the video card to carry heavy processing  tasks in the system, in this way stands a huge burden on the shoulders of the processor.
Researchers from Carnegie Mellon have been credited with developments in various aspects of computer science,such as computer networks, parallel processing, programming languages, robotics, software engineering, and the invention of the smiley face emoticon.
Begun at IBM in the late 80's,the Deep Blue project was an attempt at using parallel processing to solve a difficult problem namely, beating the best chess player in the world, Garry Kasparov.
We perform tasks, make decisions,and solve problems based not just on our intelligence but on our massively parallel processing wetware- in abstract, what we like to call our instincts, our common sense, and perhaps most importantly, our life experiences.
We perform duties, make decisions, and resolve issues based mostlynot simply on our intelligence however on our massively parallel processing wetware- in abstract, what we prefer to name our instincts, our widespread sense, and perhaps most importantly, our life experiences.
We perform duties, make selections, and resolve issues primarily basednot simply on our intelligence however on our massively parallel processing wetware- in summary, what we like to name our instincts, our widespread sense, and perhaps most importantly, our life experiences.