Ví dụ về việc sử dụng Parallel computing trong Tiếng anh và bản dịch của chúng sang Tiếng việt
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What is Parallel Computing?
It takes better advantage of Parallel Computing.
FPGA: Parallel computing technology with FPGA as core.
BRAVO spend 3 years on ARM cluster A/V parallel computing platform, provide low power, lowcost, high.
Parallel computing uses less energy than do today's multicore chips.
FCPC high performance embedded parallel computing platform is developed by BRAVO.
Parallel Computing, also called Multitasking is when a software executes more then 1 task at a time.
The key to this puzzle is that it requires sequential operations,which means you can't get to the answer faster by using parallel computing.
We promised parallel computing benchmarks lately. Here we go….
Its solution for a reasonably large number of particles is therefore typically impossible,even for modern parallel computing technology in a reasonable amount of time.
The GPU takes the parallel computing approach orders of magnitude beyond the CPU, offering thousands of compute cores.
For example, if 90% of the program can be parallelized,the theoretical maximum speed-up using parallel computing would be 10x no matter how many processors are used.
CUDA is a parallel computing platform which actually allows you to utilize the GPU for certain tasks within the 3D application.
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.
Parallel computing is a type of computation in which many calculations are carried out simultaneously, operating on the principle that….
The potential speed-up of an algorithm on a parallel computing platform is given by Amdahl's law, originally formulated by Gene Amdahl in the 1960s.
Students are encouraged to develop start-ups and research projects have explored problems such as calculating the financial risks of renewable energy anddeveloping faster parallel computing.
Kryptono is using parallel computing technology and architecture, where workload and traffic are distributed uniformly to servers in data centers across the world.
As power consumption(and consequently heat generation)by computers has become a concern in recent years, parallel computing has become the dominant paradigm in computer architecture, mainly in the form of multicore processors.
Currently, the parallel computing technology CUDA and the GPU video cards are actively used to process a large(~2 GB/s from each video camera) image stream and accelerate intensive computing. .
Other complexity Measures sont également used, Such As the amount of communication(used in communication complexity), the number of gates in a circuit(used in the circuit complexity)and the number of processors(used in parallel computing).
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.
There are some blockchain-based platforms designed to provide supercomputer services,however there are no existing solutions in the market to provide decentralized parallel computing environment that supports big data and machine learning.
Parallel computing is a form of computation in which many calculations are carried out simultaneously, on the principle that large problems can be divided into smaller ones, which are then solved concurrently.
It starts with, of course, building a brand new type of processor we call the DRIVE Xavier, an autonomous machine processor that is able to do deep learning, perception,has the ability to do parallel computing and also computer vision and high performance computing at very, very energy-efficient levels.”.
Computer science(In computer science, especially parallel computing, synchronization refers to the coordination of simultaneous threads or processes to complete a task with correct runtime order and no unexpected race conditions.).
Parallel computing is a type of computation in which many calculations are carried out simultaneously,[1] operating on the principle that large problems can often be divided into smaller ones, which are then solved at the same time.
Parallel computing is a form of computation in which many calculations are carried out simultaneously,[1] operating on the principle that large problems can often be divided into smaller ones, which are then solved concurrently("in parallel").
In this new era of parallel computing, if a company wants to release a software product that fully exploits the capabilities of the latest parallel hardware available in the market, surely it has to invest more money and resources than they were required in the past.