Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning

Gence Ozer, Sarthak Garg, Neda Davoudi, Gabrielle Poerwawinata, Matthias Maiterth, Alessio Netti, Daniele Tafani. Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning. In Ulrich Schwardmann, Christian Boehme, Dora B. Heras, Valeria Cardellini, Emmanuel Jeannot, Antonio Salis, Claudio Schifanella, Ravi Reddy Manumachu, Dieter Schwamborn, Laura Ricci, Oh Sangyoon, Thomas Gruber, Laura Antonelli, Stephen L. Scott, editors, Euro-Par 2019: Parallel Processing Workshops - Euro-Par 2019 International Workshops, Göttingen, Germany, August 26-30, 2019, Revised Selected Papers. Volume 11997 of Lecture Notes in Computer Science, pages 626-638, Springer, 2019. [doi]

Abstract

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