22 citations · 22 across the 2 of their papers we have counts for
3 papers
Challenges and Opportunities of Machine Learning for Monitoring and Operational Data Analytics in Quantitative Codesign of Supercomputers
Thomas Jakobsche, Nicolas Lachiche, Florina M. Ciorba
This work examines the challenges and opportunities of Machine Learning (ML) for Monitoring and Operational Data Analytics (MODA) in the context of Quantitative Codesign of Superco…
An Execution Fingerprint Dictionary for HPC Application Recognition
Thomas Jakobsche, Nicolas Lachiche, Aurélien Cavelan +1
Applications running on HPC systems waste time and energy if they: (a) use resources inefficiently, (b) deviate from allocation purpose (e.g. cryptocurrency mining), or (c) encount…
CASP-DM: Context Aware Standard Process for Data Mining
Fernando Martínez-Plumed, Lidia Contreras-Ochando, Cèsar Ferri +5
We propose an extension of the Cross Industry Standard Process for Data Mining (CRISPDM) which addresses specific challenges of machine learning and data mining for context and mod…