Optimizing unifrac with openacc yields greater than one thousand times speed increase

HIGHLIGHTS

• who: Igor Sfiligoi and colleagues from the University of California Supercomputing Center, University of California, La Jolla, California, USA have published the research work: Optimizing UniFrac with OpenACC Yields Greater Than One Thousand Times Speed Increase, in the Journal: (JOURNAL)

SUMMARY

UniFrac, being able to exploit phylogenetic relationships among features (e_g, 16S rRNA sequences, although it can be used on any data yielding a tree), can produce meaningful comparisons between samples even if they lack exact features in common. Striped UniFrac was recently proposed and implemented, and it exhibits almost linear scaling May . . .

 



If you want to have access to all the content you need to log in!

Thanks :)

Username or E-mail:

If you don't have an account, you can create one here.