Low power GPGPU computation with imprecise hardware

Massively parallel computation in GPUs significantly boosts performance of compute-intensive applications but creates power and thermal issues that limit further performance scaling. This paper demonstrates significant GPGPU power savings by relaxing application accuracy requirements and enabling th...

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Bibliographic Details

Published in:	Proceedings - ACM IEEE Design Automation Conference pp. 1 - 6
Main Authors:	Hang Zhang, Putic, Mateja, Lach, John
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2014
Subjects:	Adders Approximate Computing Computational modeling Floating Point Unit GPGPU Graphics processing units Hardware Imprecise Hardware Linear approximation Measurement Power demand Special Function Unit
ISSN:	0738-100X
Online Access:	Get full text
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