Back to Search
Start Over
MLI: An API for Distributed Machine Learning
- Publication Year :
- 2013
-
Abstract
- MLI is an Application Programming Interface designed to address the challenges of building Machine Learn- ing algorithms in a distributed setting based on data-centric computing. Its primary goal is to simplify the development of high-performance, scalable, distributed algorithms. Our initial results show that, relative to existing systems, this interface can be used to build distributed implementations of a wide variety of common Machine Learning algorithms with minimal complexity and highly competitive performance and scalability.
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1310.5426
- Document Type :
- Working Paper