Listar ICC_Articles por autoría "b117ca79-db44-4547-a20d-044f68fa4468"
Mostrando ítems 1-4 de 4
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GPU acceleration of a non-standard finite element mesh truncation technique for electromagnetics
IEEE (2020-05-07)The emergence of General Purpose Graphics Processing Units (GPGPUs) provides new opportunities to accelerate applications involving a large number of regular computations. However, properly leveraging the computational ... -
Strategies to parallelize a finite element mesh truncation technique on multi-core and many-core architectures
Springer (2022-12-02)Achieving maximum parallel performance on multi-core CPUs and many-core GPUs is a challenging task depending on multiple factors. These include, for example, the number and granularity of the computations or the use of the ...
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Urban sound classifcation using neural networks on embedded FPGAs
Springer (2024-03-01)Sound classifcation using neural networks has recently produced very accurate results. A large number of diferent applications use this type of sound classifers such as controlling and monitoring the type of activity in ...
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Urban sound classification using neural networks on embedded FPGAs
Springer (2024-03-01)Sound classification using neural networks has recently produced very accurate results. A large number of different applications use this type of sound classifiers such as controlling and monitoring the type of activity ...
