|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
| ASCII Text | x | ||
| Howard Jay Siegel, James B. Armstrong, Daniel W. Watson, "Mapping Computer-Vision-Related Tasks onto Reconfigurable Parallel-Processing Systems," Computer, vol. 25, no. 2, pp. 54-63, February, 1992. | |||
| BibTex | x | ||
| @article{ 10.1109/2.121475, author = {Howard Jay Siegel and James B. Armstrong and Daniel W. Watson}, title = {Mapping Computer-Vision-Related Tasks onto Reconfigurable Parallel-Processing Systems}, journal ={Computer}, volume = {25}, number = {2}, issn = {0018-9162}, year = {1992}, pages = {54-63}, doi = {http://doi.ieeecomputersociety.org/10.1109/2.121475}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computer TI - Mapping Computer-Vision-Related Tasks onto Reconfigurable Parallel-Processing Systems IS - 2 SN - 0018-9162 SP54 EP63 EPD - 54-63 A1 - Howard Jay Siegel, A1 - James B. Armstrong, A1 - Daniel W. Watson, PY - 1992 VL - 25 JA - Computer ER - | |||
A tutorial overview of how selected computer-vision-related algorithms can be mapped onto reconfigurable parallel-processing systems is presented. The reconfigurable parallel-processing system assumed for the discussions is a multiprocessor system capable of mixed-mode parallelism; that is, it can operate in either the SIMD or MIMD modes of parallelism and can dynamically switch between modes at instruction-level granularity with generally negligible overhead. In addition, it can be partitioned into independent or communicating submachines, each having the same characteristics as the original machine. Furthermore, this reconfigurable system model uses a flexible multistage cube interconnection network, which allows the connection patterns among the processors to be varied. It is demonstrated how reconfigurability can be used by reviewing and examining five computer-vision-related algorithms, each one emphasizing a different aspect of reconfigurability.