Convolution Engine: Balancing Efficiency and Flexibility in Specialized Computing.

General-purpose processors, while tremendously versatile, pay a huge cost for their flexibility by wasting over 99% of the energy in programmability overheads. We observe that reducing this waste requires tuning data storage and compute structures and their connectivity to the data-flow and data-loc...

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Detalles Bibliográficos

Publicado en:	Communications of the ACM Vol. 58; no. 4; pp. 85 - 94
Autores principales:	Qadeer, Wajahat, Hameed, Rehan, Shacham, Ofer, Venkatesan, Preethi, Kozyrakis, Christos, Horowitz, Mark
Formato:	Artículo
Publicado:	Association for Computing Machinery Apr2015
Materias:	Microprocessors Information retrieval Data warehousing Signal convolution Flow control (Data transmission systems) Image processing
Acceso en línea:	Ver este registro en EBSCOhost