« Acceleration Method for Non-numerical Processing Using a Vector Merge Function | Main | A Method of Optimization using Production Rules and Local Evaluation Functions and the Macroscopic Behavior during its Computation Processes »

A Method of Vector Processing for Shared Symbolic Data

Kanada, Y., Parallel Computing, Vol. 19, 1993, pp. 1155-1175.

[ 日本語のページ ]
[ Paper PDF file (invalid characters contained)]
[ Paper postscript file ]

Abstract: Conventional processing techniques for pipelined vector processors such as the Cray-XMP, or data-parallel computers, such as the Connection Machines, are generally applied only to independent multiple data prcessing. This paper describes a vector processing method for multiple processings including parallel rewriting of dynamic data strutures with shared elements, and for mutiple procesings that may rewrite the same data item multiple times. This method enables vector processing when entering mutiple data items into a hash table, address calculation sorting, and many other algorithms that handle lists, trees, graphs and other types of symbolic data structures. This method is aplied to several algorithms; consequently, the peformance is improved by a fator of ten on a Hitachi S-810.

[No English abstract is available.]

Introduction to this research theme: Logic/Symbolic Vector Processing

Keywords: Vectorization of symbol processing, Vectorized symbol processing, Parallel symbol processing, Supercomputing, Super symbol processing, Parallel processing, Vector processing

Post a comment


This page contains a single entry from the blog posted on January 1, 1993 12:00 AM.

Many more can be found on the main index page or by looking through the archives.

(C) Copyright 2007 by Yasusi Kanada
Powered by
Movable Type 3.36