The first parallel algorithm to accelerate the Smith-Waterman protein database search on shared-host multiple Intel Xeon Phi coprocessors. By searching against the UniProtKB/TrEMBL database, SWAPHI achieves a performance of up to 58.8 billion cell updates per second (GCUPS) on a single Xeon Phi and up to 228.4 GCUPS on four Xeon Phis.

Project Activity

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Categories

Bio-Informatics

License

GNU General Public License version 2.0 (GPLv2), Apache License V2.0

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Additional Project Details

Operating Systems

Linux, BSD

Intended Audience

Science/Research, Education, Engineering

User Interface

.NET/Mono, Console/Terminal

Programming Language

C++, ALGOL 68

Related Categories

C++ Bio-Informatics Software, ALGOL 68 Bio-Informatics Software

Registered

2013-08-10