Optimal Design of JPEG Hardware Under the Approximate Computing Paradigm Conference Paper

abstract

• 2016 ACM. 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.

name of conference

• Proceedings of the 53rd Annual Design Automation Conference

authors

• Hu, Jiang

published proceedings

• 2016 ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC)

author list (cited authors)

• Snigdha, F. S., Sengupta, D., Hu, J., & Sapatnekar, S. S.

citation count

• 27

complete list of authors

• Snigdha, Farhana Sharmin||Sengupta, Deepashree||Hu, Jiang||Sapatnekar, Sachin S

publication date

• June 2016

publisher

• Association for Computing Machinery (ACM)  Publisher

published in

• Design Automation Conference  Journal

keywords

• Approximate Computing
• Image Compression
• Jpeg
• Low-power Design
• Nonlinear Optimization

Digital Object Identifier (DOI)

• 10.1145/2897937.2898057

International Standard Book Number (ISBN) 13

• 9781450342360

start page

• 1

end page

• 6

volume

• 05-09-June-2016

URL

• http%3A%2F%2Fdx.doi.org%2F10.1145%2F2897937.2898057