Data Parallelism And The Processor Farm Model For Image Processing And Synthesis On A Transputer Array

Peter M. Dew; Han Wang

doi:10.1117/12.948569

16 December 1989 Data Parallelism And The Processor Farm Model For Image Processing And Synthesis On A Transputer Array

Peter M. Dew, Han Wang

Proceedings Volume 0977, Real-Time Signal Processing XI; (1989) https://doi.org/10.1117/12.948569
Event: 32nd Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1988, San Diego, CA, United States

Abstract

Computational models have been introduced by Kung as a technique for specifying the usage patterns for parallel architectures. The purpose of this paper is to consider the processor farm for applications that are amenable to data parallelism and show its relationship to the computational models. The processor farm is a general abstract machine model for VLSI processor arrays based on the Communicating Sequential Processing (CSP) model of computation and is widely used to program networks of INMOS transputers. The paper reports on recent work at Leeds applying the processor farm to a range of image processing and synthesis computations.

Citation Download Citation

Peter M. Dew and Han Wang "Data Parallelism And The Processor Farm Model For Image Processing And Synthesis On A Transputer Array", Proc. SPIE 0977, Real-Time Signal Processing XI, (16 December 1989); https://doi.org/10.1117/12.948569

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