Open Architecture for Exascale Supercomputers
Alessandro Ottaviano Robert Balas Giovanni Bambini Antonio del Vecchio Maicol Ciani Davide Rossi Luca Benini Andrea Bartolini: ControlPULP: A RISC-V On-Chip Parallel Power Controller for Many-Core HPC Processors with FPGA-Based Hardware-In-The-Loop Power and Thermal Emulation International Journal of Parallel Programming 52, 93–123 (2024). Link: https://www.researchsquare.com/article/rs-2525734/v1
Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz: Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach IEEE CLUSTER 2023, 2023 Link: https://www.ce.cit.tum.de/fileadmin/w00cgn/caps/Mitarbeiter/arima/saroliya_cluster23.pdf
Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz: Sustainability in HPC: Vision and Opportunities SC-W ’23: Proceedings of the SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis Link: https://arxiv.org/pdf/2309.13473
Danilo Carastan-Santos, Krzysztof Rzadca, Leonel Sousa, Denis Trystram: Social and Environmental Effects of Post-COVID-19 Computer Science Virtual Conferencing: The Euro-Par Case 2023 International Conference on ICT for Sustainability (ICT4S) Link: https://hal.science/hal-03903632v2
Lucas Rosa, Danilo Carastan-Santos, Alfredo Goldman: An Experimental Analysis of Regression-Obtained HPC Scheduling Heuristics Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2023 Link: https://inria.hal.science/hal-03979237v2/document
Marc Schouler, Robert Alexander Caulk, Lucas Meyer, Théophile Terraz, Christoph Conrads, Sebastian Friedemann, Achal Agarwal, Juan Manuel Baldonado, Bartłomiej Pogodziński, Anna Sekuła, Alejandro Ribes, Bruno Raffin: “Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses”. Journal of Open Source Software, 2023. Link: https://joss.theoj.org/papers/10.21105/joss.05291
Andrea Borghesi; Carmine Di Santi; Martin Molan; Mohsen Seyedkazemi Ardebili; Alessio Mauri; Massimiliano Guarrasi; Daniela Galetti; Mirko Cestari; Francesco Barchi; Luca Benini; Francesco Beneventi; Andrea Bartolini: “M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer”. Nature Scientific Data, 2023. Link: https://www.nature.com/articles/s41597-023-02174-3
Marina Kontou, Varvara Asouti, Xenofon Trompoukis, Kyriakos Giannakoglou: “DNN-assisted EA-based shape optimization of a hydraulic turbine”. Eurogen 2023. Link: https://www.eurogen2023.org/proceedings/pdf/18964.pdf
Martin Molan, Junaid Ahmed Khan, Andrea Borghesi, Andrea Bartolini: Graph Neural Networks for Anomaly Anticipation in HPC Systems ICPE ’23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023 Link: https://dl.acm.org/doi/abs/10.1145/3578245.3585335
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/