Title :
IXM2: a parallel associative processor for semantic net processing-preliminary evaluation
Author :
Higuchi, Tetsuya ; Furuya, Tatsumi ; Handa, Kenichi ; Kokubu, Akio
Author_Institution :
Electrotech. Lab., Ibaraki, Japan
Abstract :
The authors describe an associative parallel processor, IXM2, for artificial-intelligence applications, using network structured data (e.g., a semantic network). IXM2 consists of 64 associative processors and nine network processors, having a total of 256 Kwords by 40 bits of associative memory. IXM2 uses a novel interconnection mechanism based on complete connection, realizing both high communication bandwidth and expansibility into a larger system. It is shown that associative memory is very effective in suppressing the computational explosion in large semantic network processing. Arithmetic and logical operations can also be done in parallel on all the words of associative memory, for example, achieving 7200 MOPS for the `less than´ operation
Keywords :
content-addressable storage; multiprocessor interconnection networks; neural nets; parallel architectures; IXM2; arithmetic operations; artificial-intelligence applications; associative memory; associative parallel processor; communication bandwidth; complete connection; expansibility; interconnection mechanism; logical operations; network processors; network structured data; parallel associative processor; semantic net processing; words; Arithmetic; Artificial intelligence; Associative memory; Bandwidth; Computer networks; Explosions; Laboratories; Parallel processing; Programmable logic arrays; Workstations;
Conference_Titel :
Tools for Artificial Intelligence, 1990.,Proceedings of the 2nd International IEEE Conference on
Conference_Location :
Herndon, VA
Print_ISBN :
0-8186-2084-6
DOI :
10.1109/TAI.1990.130418
