Single instruction set architectures for image processing

Phillip A. Laplante; William Gilreath

doi:10.1117/12.455451

2 July 2002 Single Instruction Set Architectures for Image Processing

Phillip A. Laplante, William Gilreath

Proceedings Volume 4867, Reconfigurable Technology: FPGAs and Reconfigurable Processors for Computing and Communications IV; (2002) https://doi.org/10.1117/12.455451
Event: ITCom 2002: The Convergence of Information Technologies and Communications, 2002, Boston, MA, United States

Abstract

For more than fifty years, computer engineers have sought to construct minimal computers using only a single instruction computer. While it might appear to be a simple academic exercise, remarkably, a rich computation paradigm can be developed using this approach, with important applications and implications in reconfigurable, chemical, optical and biological computing. More recently, the widespread use of the Field Programmable Gate Array (FPGA) has made such an approach not only desirable, but also practical. In this paper the history and motivation behind single instruction or one instruction computing (OISC) is reviewed. It is then shown how the paradigm can be used to implement a variety of imaging operations efficiently. Finally, a practical application and future work in languages and tools are presented.

Citation Download Citation

Phillip A. Laplante and William Gilreath "Single Instruction Set Architectures for Image Processing", Proc. SPIE 4867, Reconfigurable Technology: FPGAs and Reconfigurable Processors for Computing and Communications IV, (2 July 2002); https://doi.org/10.1117/12.455451

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