Parallel bit stream technology

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The proposed research is into tools and technology for high-performance text processing using parallel bit stream technology on commodity multicore processors. Current research results have established that parallel bit stream technology can provide order of magnitude performance improvements over traditional byte-at-a-time character processing on modern pipelined processors in applications such as string search, character set transcoding, lexical analysis, regular expression matching and XML parsing. In effect, the parallel bit stream technology makes substantial use of intraregister parallelism in order to process up to 128 characters at a time using 128 bit registers. However, this involves new forms of programming for which high-level tool support (e.g., high-level programming languages) are not yet available. Furthermore, current trends in commodity processor design involving multicore processors are creating demands to find new forms of parallel programming to take advantage of intrachip parallelism. By developing new techniques to leverage intraregister parallelism in support of intrachip parallelism, further performance advantages of these parallel text processing techniques over sequential byte-at-a-time techniques can be expected. By developing high-level programming tools that map to implementations based on parallel bit stream technology, these performance benefits can be made broadly available to programmers without the need for tricky and error-prone low-level programming.