Optimizes Semi-External Memory Tree Operations for machine learning.
It does the heavy lifting for you!
- p-threads for multithreading.
- numa for NUMA optimization.
- SAFS for a semi-external memory vertex-centric interface.
- Linux or Mac OS 10.*
- At least 4 (GB) of RAM
- Administrative privileges
The following is Tested on Ubuntu 14.04 - 16.04. We require a minimum of
gcc-5 for compilation.
Post an issue and we'll get to it as soon as possible.
Uses libSAFS
([pdf][bib])
as the io backend for external memory applications.