Title :
A bit-parallel, word-parallel, massively parallel associative processor for scientific computing
Author :
Alleyne, B.D. ; Kramer, David A. ; Scherson, Isaac D.
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Abstract :
A simple but powerful parallel architecture based on the classical associative processor model, which allows bit-parallel computation and communication, is proposed. Complex operations such as multiplication execute in O(m) cycles, as opposed to O(m 2) for bit-serial machines. This permits very fast processing of floating-point data. A bit-parallel communication network that exploits associative data location independence is presented. It provides the system with a reconfiguration capability, which improves chip yield, as well as fault tolerance. The simplicity of the architecture lends itself to VLSI implementation and hence allows the construction of a bit-parallel, word-parallel, and massively parallel (P 3) computing system
Keywords :
multiprocessor interconnection networks; parallel architectures; P3 computing system; VLSI; associative data location independence; bit-parallel communication network; chip yield; fault tolerance; floating-point data; massively parallel associative processor; parallel architecture; reconfiguration; scientific computing; word-parallel; Arithmetic; Associative processing; Computer architecture; Concurrent computing; Fault tolerant systems; Parallel processing; Power engineering computing; Power system modeling; Scientific computing; Very large scale integration;
Conference_Titel :
Frontiers of Massively Parallel Computation, 1990. Proceedings., 3rd Symposium on the
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-2053-6
DOI :
10.1109/FMPC.1990.89457