Adaptive Approximate Computing in Arithmetic Datapaths

被引：14

作者：

Mazahir, Sana ^{[1
]}

Hasan, Osman ^{[2
]}

Shafique, Muhammad ^{[3
]}

机构：

[1] Georgia Inst Technol, Atlanta, GA 30332 USA

[2] Natl Univ Sci & Technol, Islamabad, Pakistan

[3] Vienna Univ Technol, Inst Comp Engn, Vienna, Austria

来源：

IEEE DESIGN & TEST | 2018年 / 35卷 / 04期

关键词：

accuracy configurability; adaptive computing; approximate adders; Approximate computing; approximate multipliers; error detection and correction (EDC); self-aware architectures;

D O I：

10.1109/MDAT.2017.2772874

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Approximate arithmetic units are used in error tolerant applications, like image processing, to minimize energy, and resource usage in general, by keeping accuracy to the minimum level required. However, in a datapath errors may accumulate over successive approximate operations. This article proposes a scheme to bound the size of the errors with adaptive error detection and correction as an integral part of the datapath.

引用

页码：65 / 74

页数：10

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