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

来源：

COMPUTER | 2014年 / 47卷 / 07期

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

页码：82 / 85

页数：4

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