Optimal Design of JPEG Hardware Under the Approximate Computing Paradigm

被引：18

作者：

Snigdha, Farhana Sharmin ^{[1
]}

Sengupta, Deepashree ^{[1
]}

Hu, Jiang ^{[2
]}

Sapatnekar, Sachin S. ^{[1
]}

机构：

[1] Univ Minnesota, Dept ECE, Minneapolis, MN 55455 USA

[2] Texas A&M Univ, Dept ECE, College Stn, TX 77843 USA

来源：

2016 ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC) | 2016年

基金：

美国国家科学基金会;

关键词：

Approximate computing; Low-power design; JPEG; Image compression; Nonlinear optimization; ALGORITHM;

D O I：

10.1145/2897937.2898057

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

JPEG compression based on the discrete cosine transform (DCT) is a key building block in low-power multimedia applications. We use approximate computing to exploit the error tolerance of JPEG and formulate a novel optimization problem that maximizes power savings under an error budget. We analyze the error propagation sensitivity in the DCT network and use this information to model the impact of introduced errors on the output quality. Simulations show up to 15% reduction in area and delay which corresponds to 40% power savings at iso-delay.

引用

页数：6

共 12 条

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