Processor architecture of MBAP for embedded image understanding system

Peng Liu; Qingdong Yao; Song Wu; Qiaohai Pan; JinMei Lai

doi:10.1117/12.420797

29 March 2001 Processor architecture of MBAP for embedded image understanding system

Peng Liu, Qingdong Yao, Song Wu, Qiaohai Pan, JinMei Lai

Proceedings Volume 4313, Media Processors 2001; (2001) https://doi.org/10.1117/12.420797
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

Processor's architecture has great effect on the performance of whole processor array. In order to improve the performance of SIMD array architecture, we modified the structure of BAP (bit-serial array processor) processing element based on the BAP128 processor. The array processor chip of modified bit-serial array processor (MBAP in abbreviation) with 0.35 micrometers CMOS technology is designed for embedded image understanding system. This paper not only presents MBAP architecture, but also gives the architecture feature about this design. Toward basic macro instructions and low-level processing algorithms of image understanding, the performance of BAP and MBAP is compared. The result shows that the performance of MBAP has much improvement on BAP, at the cost of increasing 5% chip resource.

Citation Download Citation

Peng Liu, Qingdong Yao, Song Wu, Qiaohai Pan, and JinMei Lai "Processor architecture of MBAP for embedded image understanding system", Proc. SPIE 4313, Media Processors 2001, (29 March 2001); https://doi.org/10.1117/12.420797

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available