Title :
VLSI algorithms for compressed pattern search using tree based codes
Author :
Mukherjee, Amar ; Acharya, Tinku
Author_Institution :
Dept. of Comput. Sci., Central Florida Univ., Orlando, FL, USA
Abstract :
Data compression methods are used to reduce the redundancy in data representation in order to decrease the data storage requirements and communication costs. In order to exploit the benefits of data compression to conserve internal processor storage and computation resources, it is desirable to perform operations on compressed data without decompressing it. We present hardware algorithms and VLSI implementation of a chip to search a compressed text with respect to keys or patterns in compressed form using Huffman-type tree-based codes
Keywords :
Huffman codes; VLSI; application specific integrated circuits; data compression; digital signal processing chips; parallel algorithms; pattern matching; Huffman-type tree-based codes; VLSI algorithms; VLSI implementation; compressed pattern search; compressed text; computation resources; data compression methods; hardware algorithms; internal processor storage; tree based codes; Computer science; Costs; Data compression; Databases; Educational institutions; Hardware; Memory; Pattern matching; Query processing; Very large scale integration;
Conference_Titel :
Application Specific Array Processors, 1995. Proceedings. International Conference on
Conference_Location :
Strasbourg
Print_ISBN :
0-8186-7109-2
DOI :
10.1109/ASAP.1995.522915