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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tran, T.T. Schindel, S. Yongchao Liu Schmidt, B. |
| Copyright Year | 2014 |
| Description | Author affiliation: Inst. fur Inf., Johannes Gutenberg-Univ. Mainz, Mainz, Germany (Tran, T.T.; Schindel, S.; Yongchao Liu; Schmidt, B.) |
| Abstract | Bit-parallel pattern matching encodes calculated values in bit arrays. This approach gains its efficiency by performing multiple updates within a machine word. An important parameter is therefore the machine word size (e.g. 32 or 64 bits). With the increasing length of vector registers, the efficient mapping of bit-parallel pattern matching algorithms onto modern high performance computing architectures is becoming increasingly important. In this paper, we investigate an efficient implementation of the Wu-Manber approximate pattern matching algorithm on the Intel Xeon Phi coprocessor. This architecture features a 512-bit long vector processing unit (VPU) as well as a large number of processing cores. We present two mappings of the Wu-Manber algorithm based on auto-vectorization and intrinsics, respectively. Our evaluation shows that the intrinsic approach yields higher performance and gains a speedup of around two orders-of-magnitude compared to a serial CPU version. The source code is available at http://xbitpar.sourceforge.net/. |
| Starting Page | 81 |
| Ending Page | 88 |
| File Size | 271730 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479969050 |
| ISSN | 15506533 |
| DOI | 10.1109/SBAC-PAD.2014.37 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-22 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pattern matching Vectors Instruction sets Approximation algorithms Coprocessors Computer architecture Graphics processing units bioinformatics. bit-parallelism approximate pattern matching Wu-Manber algorithm OpenMP Intel Xeon Phi |
| Content Type | Text |
| Resource Type | Article |
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