Multiple String Matching on a GPU using CUDAs

Multiple String Matching on a GPU using CUDAs

Multiple pattern matching algorithms are used to locate the occurrences of patterns from a finite pattern set in a large input string. Aho-Corasick, Set Horspool, Set Backward Oracle Matching, Wu-Manber and SOG, five of the most well known algorithms for multiple matching require an increased computing power, particularly in cases where large-size datasets must be processed, as is common in com...

Fast Exact String Matching on the GPU

We present a string-matching program that runs on the GPU. Our program, Cmatch, achieves a speedup of as much as 35x on a recent GPU over the equivalent CPU-bound version. String matching has a long history in computational biology with roots in finding similar proteins and gene sequences in a database of known sequences. The explosion in sequence data available in the 80s and 90s motivated the...

Multiple Approximate String Matching

We present a very simple and eecient algorithm for on-line multiple approximate string matching. It uses a previously known counting-based lter 9] that searches for a single pattern by quickly discarding uninteresting parts of the text. Our multi-pattern algorithm is based on the simulation of many parallel lters using bits of the computer word. Our average complexity to search r patterns of le...

Sequential Multiple String Matching

Approximate Multiple Pattern String Matching using Bit Parallelism: A Review

String matching is to find all the occurrences of a given pattern in a large text both being sequence of characters drawn from finite alphabet set. Approximate String Matching involves the detection of correct patterns along with the detection of some wrong patterns inside the text. Bit Parallelism is a feature that can be used to detect patterns inside the text and is reported to result in mor...