Title
Instance-Specific Solutions For Accelerating The Cky Parsing Of Large Context-Free Grammars
Abstract
The main contribution of this paper is an FPGA-based implementation of an instance-specific hardware which accelerates the CKY (Cocke-Kasami-Younger) parsing of context-free grammars. Given a context-free grammar G and a string X, the CKY parsing determines whether G derives x. We developed a hardware generator that creates a Verilog HDL source to perform the CKY parsing for any fixed context-free grammar G. The generated source is embedded in an FPGA using the design software provided by the FPGA vendor. The results show that our instance-specific hardware solution attains an astonishing speed-up factor of up to 3,700 over traditional software solutions.
Year
DOI
Venue
2004
10.1142/S0129054104002492
INTERNATIONAL JOURNAL OF FOUNDATIONS OF COMPUTER SCIENCE
Keywords
Field
DocType
CKY parsing, FPGAs, reconfigurable architectures, reconfigurable computing
Rule-based machine translation,Top-down parsing,Programming language,Context-free grammar,Computer science,Parallel computing,Field-programmable gate array,Software,Verilog,Parsing,Reconfigurable computing
Journal
Volume
Issue
ISSN
15
2
0129-0541
Citations 
PageRank 
References 
20
1.12
4
Authors
4
Name
Order
Citations
PageRank
Jacir Luiz Bordim15718.86
Oscar H. Ibarra2650101.57
Yasuaki Ito351160.47
Koji Nakano41165118.13