Publications

Imen Chakroun, Tom Vander Aa, Tom Ashby. Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms. 4th International Conference on Big Data Analytics, Data Mining and Computational Intelligence (BIGDACI2019). IADIS. 2019.

Tom Vander Aa. SMURFF: a High-Performance Framework for Matrix Factorization. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS2019)

Tom Vander Aa, Imen Chakroun, Thomas J. Ashby. SMURFF: a High-Performance Framework for Matrix Factorization. 1st IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2019). IEEE. 2019.

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.

Toledo, L., Peña, A.J., Catalán, S., and Valero-Lara, P.. Tasking in accelerators: performance evaluation. A: International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT). "2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT): Gold Coast, Australia: 5-7 December 2019: proceeding". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 127-132. 

Antonio J. Peña. The EPEEC H2020 Project: Programming Productivity at Exascale. Supercomputing Conference 2019.

Arenaz, M. Leveraging Parallelware in MAESTRO and EPEEC. Contributions by Appentra and Enhancements to Parallelware. Supercomputing Conference 2018.