Publication Type |
technical report |
School or College |
College of Engineering |
Department |
Computing, School of |
Creator |
Gu, Jun |
Title |
Parallel Algorithms and Architectures for Very Fast AI Search |
Date |
1989-08 |
Description |
A wide range of problems in natural and artificial intelligence, computer vision, computer graphics, database engineering, operations research, symbolic logic, robot manipulation and hardware design automation are special cases of Consistent Labeling Problems (CLP). CLP has long been viewed as an efficient computational model based on a unit constraint relation containing 2N-tuples of units and labels which specifies which N-tuples of labels are compatible with which N-tuples of units. Due to high computation cost and design complexity, most currently best-known algorithms and computer architectures have usually proven infeasible for solving the consistent labeling problems. Efficiency in CLP computation during the last decade has only been improved a few times. This research presents several parallel algorithms and computer architectures for solving CLP within a parallel processing framework. For problems of practical interest, 4 to 10 orders of magnitude of efficiency improvement can be easily reached. Several simple wafer scale computer architectures are given which implement these parallel algorithms at a surprisingly low cost. |
Type |
Text |
Subject |
parallel algorithms; CLP; consistent labeling problems; computer programming; computer science |
Language |
eng |
Bibliographic Citation |
Gu, J. (1989). Parallel algorithms and architectures for very fast AI search. |
Series |
University of Utah Computer Science Technical Report |
Relation is Part of |
ARPANET |
Format Medium |
application/pdf |
Format Extent |
116,876,932 bytes |
File Name |
Gu-Parallel_Algorithms.pdf |
Conversion Specifications |
Original scanned with Kirtas 2400 and saved as 400 ppi uncompressed TIFF. PDF generated by Adobe Acrobat Pro X for CONTENTdm display |
ARK |
ark:/87278/s69s3s9x |
Setname |
ir_computersa |
ID |
99969 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s69s3s9x |