A machine learning approach for performance prediction and scheduling on heterogeneous CPUs D Nemirovsky, T Arkose, N Markovic, M Nemirovsky, O Unsal, A Cristal 2017 29th International Symposium on Computer Architecture and High …, 2017 | 52 | 2017 |
A general guide to applying machine learning to computer architecture D Nemirovsky, T Arkose, N Markovic, M Nemirovsky, O Unsal, A Cristal, ... Supercomputing Frontiers and Innovations 5 (1), 95-115, 2018 | 15 | 2018 |
A deep learning mapper (DLM) for scheduling on heterogeneous systems D Nemirovsky, T Arkose, N Markovic, M Nemirovsky, O Unsal, A Cristal, ... High Performance Computing: 4th Latin American Conference, CARLA 2017 …, 2018 | 7 | 2018 |
Machine learning performance prediction model for heterogeneous systems D Nemirovsky, T Arkose, O Unsal, A Cristal Kestelman, M Valero Cortés Book of abstracts, 43-44, 2017 | 1 | 2017 |
PROCEEDINGS-29TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING, SBAC-PAD 2017 D Nemirovsky, T Arkose, M Nemirovsky, O Unsal, A Cristal, N Markovic, ... | | 2017 |
A General Guide to Applying Machine Learning to Computer Architecture T Arkose, UPC Osman Unsal, UPC Adrian Cristal, UPC Mateo Valero | | |
Resource utilization analysis in a disaggregated datacenter architecture M Torrents, J Quiroga, T Arkose, F Zyulkyarov, M Nemirovsky | | |