Open Architecture for Exascale Supercomputers
Varvara G. Asouti, Xenofon S. Trompoukis, Kyriakos C. Giannakoglou, Evgenia A. Kontoleontos: Unsteady CFD analysis and shape optimization of a hydraulic turbine 15th European Turbomachinery Conference (ETC15), 2023 Link: https://www.euroturbo.eu/publications/proceedings-papers/ETC2023-209/
The 15th European Turbomachinery Conference (ETC15) took place from 24-28 APRIL 2023 in Budapest, Hungary. REGALE researchers contributed to the conference program with a paper: V.G. Asouti, X.S. Trompoukis, K.C. Giannakoglou, E.A. Kontoleontos.Unsteady CFD analysis and Shape Optimization of a Hydraulic Turbine.15th European Turbomachinery Conference (ETC15), Budapest, Hungary, April 24-28 2023.
Miguel Felipe Silva Vasconcelos, Daniel Cordeiro, Georges da Costa, Fanny Dufossé, Jean-Marc Nicod, Veronika Rehn-Sonigo: Optimal sizing of a globally distributed low carbon cloud federation 23rd International Symposium on Cluster, Cloud and Internet Computing Link: https://hal.science/hal-04032094/document
The International Conference on Performance Engineering (ICPE) 2023 was held in Coimbra, Portugal from April 15 – 19, 2023. REGALE researchers presented a paper: Martin Molan, Junaid Ahmed Khan, Andrea Borghesi, Andrea Bartolini: Graph Neural Networks for Anomaly Anticipation in HPC Systems.
Andrea Borghesi; Alessio Burrello; Andrea Bartolini: ExaMon-X: a Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems IEEE Internet of Things Journal, 2023 Link: https://cris.unibo.it/bitstream/11585/861933/3/postPrintVersion_plus_editorialReference.pdf
Eishi Arima; Minjoon Kang; Issa Saba; Josef Weidendorfer; Carsten Trinitis; Martin Schulz: Optimizing Hardware Resource Partitioning and Job Allocations on Modern GPUs under Power Caps ICPP Workshops ’22: 51st International Conference on Parallel Processing Workshop Link: https://arxiv.org/abs/2405.03838
Eishi Arima; Isaías A Comprés; Martin Schulz: On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems High Performance Computing: ISC High Performance 2022 International Workshops Link: https://arxiv.org/abs/2405.03847
Issa Saba; Eishi Arima; Dai Liu; Martin Schulz: Orchestrated Co-Scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning 35th International Conference on Architecture of Computing Systems, ARCS 2022 Link: https://arxiv.org/abs/2405.03831
Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini: RUAD: unsupervised anomaly detection in HPC systems Paper published on arxiv.org Link: https://arxiv.org/pdf/2208.13169