The first parallel Smith-Waterman algorithm exploiting Intel Xeon Phi clusters to accelerate the alignment of long DNA sequences. This algorithm is written in C++ (with a set of SIMD intrinsic extensions), OpenMP and MPI. The performance evaluation revealed that our algorithm achieves very stable performance, and yields a performance of up to 30.1 GCUPS on a single Xeon Phi and up to 111.4 GCUPS on four Xeon Phis sharing a host.

Project Activity

See All Activity >

License

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

Follow SWAPHI-LS: Alignment on Xeon Phi Cluster

SWAPHI-LS: Alignment on Xeon Phi Cluster Web Site

Other Useful Business Software
$300 Free Credits for Your Google Cloud Projects Icon
$300 Free Credits for Your Google Cloud Projects

Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of SWAPHI-LS: Alignment on Xeon Phi Cluster!

Additional Project Details

Operating Systems

BSD, Linux

Intended Audience

Science/Research

User Interface

Command-line, Console/Terminal

Programming Language

C++

Related Categories

C++ Algorithms, C++ Bio-Informatics Software

Registered

2014-03-18