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Brook extends C to include simple data-parallel constructs, enabling the use of the GPU as a streaming coprocessor.
The use of the GPU, as an alternative computation platform, allows decreasing processing times, for parallel algorithms.
The use of single-precision allows the use of the GPU performance at best but, of course, limits the precision of simulation in some critical situations.
The use of the GPU accelerates the cardiac simulator by about 6 times compared to the best performance obtained in a general-purpose processor (CPU).
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The use of the sorting algorithm radix sort for inter-GPU particle migration and sub-domain "halo" building (which enables interaction between SPH particles of different sub-domains) is described in detail.
An overview of the BigDFT code is provided in order to describe why and how the use of GPU can be useful for accelerating the code operations.
Those computations can be accelerated through the use of GPU, and our experiments of the CNN are performed on a NVIDIA GTX 960 GPU.
Windows 7 is designed to make better use of the GPU (graphics processor) and today's larger memories.
Of course, they say that about everything, and of course if you severely limit use of the GPU and blast the fan at all times, technically that is a software solution.
The use of multiple GPUs showed the greatest speedup, achieving a slightly super linear speedup on a single node with three GPU cards.
The use of GPU computing in FEA is today an active research field.
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