Neural Acceleration for General-Purpose Approximate Programs.

As improvements in per-transistor speed and energy efficiency diminish, radical departures from conventional approaches are needed to continue improvements in the performance and energy efficiency of general-purpose processors. One such departure is approximate computing, where error in computation...

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Publicado en:	Communications of the ACM Vol. 58; no. 1; pp. 105 - 116
Autores principales:	Esmaeilzadeh, Hadi, Sampson, Adrian, Ceze, Luis, Burger, Doug
Formato:	Artículo
Publicado:	Association for Computing Machinery Jan2015
Materias:	Central processing units Energy consumption of computers Approximation theory Machine learning Source code Artificial neural networks Application software
Acceso en línea:	Ver este registro en EBSCOhost