Energy Efficiency through Significance-Based Computing

被引:3
|
作者
Nikolopoulos, Dimitrios S. [1 ]
Vandierendonck, Hans [1 ]
Bellas, Nikolaos [2 ]
Antonopoulos, Christos D. [2 ]
Lalis, Spyros [2 ]
Karakonstantis, Georgios [3 ]
Burg, Andreas [3 ]
Naumann, Uwe [4 ]
机构
[1] Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast BT7 1NN, Antrim, North Ireland
[2] Univ Thessaly, Dept Elect & Comp Engn, Volos, Greece
[3] Ecole Polytech Fed Lausanne, Telecomm Circuits Lab, CH-1015 Lausanne, Switzerland
[4] Rhein Westfal TH Aachen, Aachen, Germany
关键词
approximate computing; automatic differentiation; energy wall; Green computing; hardware; iterative solvers; on-chip power consumption; SCoRPiO; significance-based computing; Significance-Based Computing for Reliability and Power Optimization; software engineering;
D O I
10.1109/MC.2014.182
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
An extension of approximate computing, significance-based computing exploits applications' inherent error resiliency and offers a new structural paradigm that strategically relaxes full computational precision to provide significant energy savings with minimal performance degradation.
引用
收藏
页码:82 / 85
页数:4
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