Detalhes do Documento

Machine Learning for Adaptive Many-Core Machines - A Practical Approach

Autor(es): Lopes, Noel ; Ribeiro, Bernardete

Data: 2016

Identificador Persistente: http://hdl.handle.net/10314/2412

Origem: Repositório Científico da Universidade Politécnica da Guarda


Descrição

The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise adaptive many-core machines that scale well with the volume of data, or in other words, can handle Big Data.

Tipo de Documento Livro
Idioma Inglês
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