Examples of using Parallel computing in English and their translations into Chinese
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The Parallel Computing Institute.
The CPU can't do a lot of matrix data parallel computing, but the GPU can.
Intel® Parallel Computing Center.
Each layer of neurons is capable of performing large-scale parallel computing and passing information between them.
Parallel computing for data science with examples in R, C++ and CUDA.
In this article, we will look at parallel computing, grids, and their convergence.
Parallel Computing: How to use many computers to solve really big problems more efficiently.
Currently, the record is held by the Parallel Computing Center(Khmelnitskiy, Ukraine).
CUDA is a parallel computing platform and programming model developed by NVIDIA.
His core, the Non-hydrostatic Unified Model of the Atmosphere,is designed from the ground up for modern parallel computing.
It is used in parallel computing to predict theoretical maximum speed up using multiple processors.
He was also the director of the Illinois-Intel Parallelism Center(I2PC),whose aim was to promote parallel computing.
The framework's parallel computing capability also makes more efficient use of commodity server storage space.
Typically, the CPU performs complex logic and transactions,and the GPU is responsible for large-scale parallel computing of data.
It is often used in parallel computing to predict the theoretical maximum speedup using multiple processors.
The idea behind the Foundation is to unlock the performance andpower efficiency of parallel computing engines found in most modern electronic devices.
Neural networks are parallel computing devices, which are basically an attempt to make a computer model of the brain.
Specifically, they automatically generate an algorithm, called Vemal, that converts certain code into vectors,which can be used for parallel computing.
Another result of Microsoft's Parallel Computing Initiative is PLINQ or Parallel LINQ.
Thomas Hobiger and fellow researchers at Sweden's Chalmers University of Technologyare tackling this problem with GPS receivers and parallel computing.
The ARC and VAXcluster products not only supported parallel computing, but also shared file systems and peripheral devices.
PCI will facilitate their work by providing an incubation and growth mechanism for new interdisciplinary centers andinitiatives that will benefit from parallel computing;
Cuda™ is a common, parallel computing architecture introduced by Nvidia that enables GPU to solve complex computational problems.
With funding from Microsoft and Intel,Illinois launches a $18 million research center to bring parallel computing concepts to mainstream devices and applications.
IncrediBuild's non-intrusive parallel computing tech empowers users to easily save hundreds of hours just minutes after installing the software.
Those attending the BUILD conference are invited to visit the NVIDIA booth to see DirectX,DirectCompute, Parallel Computing and HTML5 resources.
Specifically, parallel computing, sophisticated data analysis processes(mainly through machine learning), and powerful computing at lower prices made this feasible.
PhysX technology can run on either the CPU or any CUDA general-purpose parallel computing processor, including many current and all future NVIDIA GeForce GPUs.
In addition, Parallel Computing Toolbox introduces a new language construct, called spmd, which simplifies the development of data-intensive parallel applications.
The new NVIDIA(R) CUDA(R) parallel computing platform features three key enhancements that makeparallel programing with GPUs easier, more accessible and faster.