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Content Provider | IEEE Xplore Digital Library |
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Author | Jiawei Huang Lach, J. Robins, G. |
Copyright Year | 2012 |
Description | Author affiliation: Electrical and Computer Engineering, University of Virginia (Lach, J.) || Computer Engineering, University of Virginia (Jiawei Huang) || Computer Science, University of Virginia (Robins, G.) |
Abstract | Recent studies have demonstrated the potential for reducing energy consumption in integrated circuits by allowing errors during computation. While most proposed techniques for achieving this rely on voltage overscaling (VOS), this paper shows that Imprecise Hardware (IHW) with design-time structural parameters can achieve orthogonal energy-quality tradeoffs. Two IHW adders are improved and two IHW multipliers are introduced in this paper. In addition, a simulation-free error estimation technique is proposed to rapidly and accurately estimate the impact of IHW on output quality. Finally, a quality-aware energy minimization methodology is presented. To validate this methodology, experiments are conducted on two computational kernels: DOT-PRODUCT and L2-NORM — used in three applications — Leukocyte Tracker, SVM classification and K-means clustering. Results show that the Hellinger distance between estimated and simulated error distribution is within 0.05 and that the methodology enables designers to explore energy-quality tradeoffs with significant reduction in simulation complexity. |
Starting Page | 504 |
Ending Page | 509 |
File Size | 1103379 |
Page Count | 6 |
File Format | |
ISBN | 9781450311991 |
ISSN | 0738100X |
e-ISBN | 9781450311991 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-06-03 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Association for Computing Machinery, Inc. (ACM) |
Subject Keyword | Adders Kernel Error analysis Support vector machines Vectors Delay static error estimation Imprecise hardware energy-quality tradeoff |
Content Type | Text |
Resource Type | Article |
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