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Mostrando ítems 11-13 de 13
CUDA acceleration of MI-based feature selection methods
(Elsevier, 2024-08)
[Abstract]: Feature selection algorithms are necessary nowadays for machine learning as they are capable of removing irrelevant and redundant information to reduce the dimensionality of the data and improve the quality of ...
General‐purpose computation on GPUs for high performance cloud computing
(John Wiley & Sons Ltd., 2013-08)
[Abstract] Cloud computing is offering new approaches for High Performance Computing (HPC) as it provides dynamically scalable resources as a service over the Internet. In addition, General‐Purpose computation on Graphical ...
STuning-DL: Model-Driven Autotuning of Sparse GPU Kernels for Deep Learning
(Institute of Electrical and Electronics Engineers, 2024-05)
[Abstract]: The relentless growth of modern Machine Learning models has spurred the adoption of sparsification techniques to simplify their architectures and reduce the computational demands. Network pruning has demonstrated ...