MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing
Published in ISC 19 Workshop Proceedings, 2019
Recommended citation: D. Nichols, N.-S. Tomov, F. Betancourt, S. Tomov, K. Wong, en J. Dongarra, "MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing", ISC. 2019. https://www.icl.utk.edu/files/publications/2019/icl-utk-1187-2019.pdf
In this paper, we present work towards the development of a new data analytics and machine learning (ML) framework, called MagmaDNN. Our main goal is to provide scalable, high-performance data analytics and ML solutions for scientific applications running on current and upcoming heterogeneous many-core GPU-accelerated architectures.
Find paper here. Workshop link.