SMURFF: a High-Performance Framework for Matrix Factorization Methods (extended abstract) | EPEEC - European joint Effort toward a Highly Productive Programming Environment for Heterogeneous Exascale Computing

Type of publication

Publication in Conference Proceedings/Workshop

Authors

Tom Vander Aa, Imen Chakroun, Tom Ashby, Jaak Simm, Adam Arany, Yves Moreau, Thanh Le Van, José Felipe Golib Dzib, Jörg Wegner, Vladimir Chupakhin, Hugo Ceulemans, Roel Wuyts, Wilfried Verachtert

Conference / Journal

31st Benelux Conference on Artificial Intelligence (BNAIC 2019)

Publisher

BNAIC

Year of publication

2019

Citation

Tom Vander Aa, Imen Chakroun, Tom Ashby, Jaak Simm, Adam Arany, Yves Moreau, Thanh Le Van, José Felipe Golib Dzib, Jörg Wegner, Vladimir Chupakhin, Hugo Ceulemans, Roel Wuyts, Wilfried Verachtert. SMURFF: a High-Performance Framework for Matrix Factorization Methods (extended abstract). 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019). 2019.

Link to the repository

http://ceur-ws.org/Vol-2491/abstract48.pdf

Link to the publication

http://ceur-ws.org/Vol-2491/abstract48.pdf