An open architecture to equip next generation HPC applications with exascale capabilities

Risultati finali

REGALE requirements, initial architecture, and evaluation plan

This deliverable will report the initial collection of requirements initial REGALE architecture and the evaluation plan

This deliverable will report the evaluation results of the final REGALE prototype, on large-scale testbeds, according to the revised evaluation strategy.

REGALE intermediate architecture

This deliverable will report the intermediate architecture defined in REGALE, based on the experiences collected from the implementation of the 1st REGALE prototype and its evaluation using the REGALE pilots.

REGALE final architecture

This deliverable will report the intermediate architecture defined in REGALE, as blueprinted in the final REGALE prototype, after its evaluation using the final version of the REGALE pilots.

Standardization Report

Reports the standardization activities undertaken during the course of the project and documents the project’s contributions to standards and working groups.

REGALE pilots v3.0

The third version of the REGALE Pilots, as they are developed, adapted, and evaluated over the REGALE architecture and prototype, will be released in this deliverable, accompanied by a report.

REGALE prototype v3.0

The third version of the implementation of the REGALE architecture as the REGALE prototype will be released in this deliverable, accompanied by a report.

REGALE pilots v2.0

The second version of the REGALE Pilots, as they are developed, adapted, and evaluated over the REGALE architecture and prototype, will be released in this deliverable, accompanied by a report.

Project Presentation and Web Portal

Contains the project portfolio, social media channels and the project website to comprise the main channel for communicating and promoting the project.

Final outreach activities

A set of activities to communicate REGALE achievements.

Final integration of sophisticated policies in the REGALE prototype

Final version of the REGALE sophisticated policies in the REGALE prototype, with full functionality, accompanied by a report.

REGALE prototype v2.0

The second version of the implementation of the REGALE architecture as the REGALE prototype will be released in this deliverable, accompanied by a report.

Pubblicazioni

Graph Neural Networks for Anomaly Anticipation in HPC Systems

Autori: Martin Molan, Junaid Ahmed Khan, Andrea Borghesi, Andrea Bartolini
Pubblicato in: 2023
Editore: ACM
DOI: 10.1145/3578245.3585335

DNN-ASSISTED EA-BASED SHAPE OPTIMIZATION OF A HYDRAULIC TURBINE

Autori: Marina Kontou, Varvara Asouti, Xenofon Trompoukis, Kyriakos Giannakoglou
Pubblicato in: Conference: 15th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control, 2023
Editore: EUROGEN 2023
DOI: 10.7712/140123.10193.18964

A community-guided discussion about social and environmental effects of post-COVID-19 Computer Science conferencing

Autori: Carastan dos Santos, Danilo; Rzadca, Krzysztof; Sousa, Leonel; Trystram, Denis
Pubblicato in: 2023 International Conference on ICT for Sustainability (ICT4S), Numero 1, 2023
Editore: IEEE
DOI: 10.1109/ict4s58814.2023.00022

On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems

Autori: Eishi Arima; Isaías A Comprés; Martin Schulz
Pubblicato in: ISC High Performance 2022 International Workshops, 2023
Editore: Springer
DOI: 10.1007/978-3-031-23220-6_14

Optimizing Hardware Resource Partitioning and Job Allocations on Modern GPUs under Power Caps

Autori: Eishi Arima; Minjoon Kang; Issa Saba; Josef Weidendorfer; Carsten Trinitis; Martin Schulz
Pubblicato in: ICPP Workshops '22: Workshop Proceedings of the 51st International Conference on Parallel Processing, 2023
Editore: ACM
DOI: 10.1145/3547276.3548630

Painless Transposition of Reproducible Distributed Environments with NixOS Compose

Autori: Guilloteau, Quentin; Bleuzen, Jonathan; Poquet, Millian; Richard, Olivier
Pubblicato in: CLUSTER 2022 - IEEE International Conference on Cluster Computing, Numero 1, 2022
Editore: IEEE
DOI: 10.1109/cluster51413.2022.00051

Optimal sizing of a globally distributed low carbon cloud federation

Autori: Silva Vasconcelos, Miguel, Felipe; Cordeiro, Daniel; da Costa, Georges; Dufossé, Fanny; Nicod, Jean-Marc; Rehn-Sonigo, Veronika
Pubblicato in: 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Numero 1, 2023
Editore: IEEE/ACM
DOI: 10.1109/ccgrid57682.2023.00028

Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning

Autori: Issa Saba; Eishi Arima; Dai Liu; Martin Schulz
Pubblicato in: 2022
Editore: Springer
DOI: 10.1007/978-3-031-21867-5_4

Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach

Autori: Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz
Pubblicato in: 2023 IEEE International Conference on Cluster Computing (CLUSTER), 2023
Editore: IEEE
DOI: 10.1109/cluster52292.2023.00023

A hybrid Reduced Basis and Machine-Learning algorithm for building Surrogate Models: a first application to electromagnetism

Autori: Alejandro Ribés, Ruben Persicot, Lucas Meyer, Jean-Pierre Ducreux
Pubblicato in: 2022
Editore: MLPS Workshop Neurips 2022

Deep Surrogate for Direct Time Fluid Dynamics

Autori: Lucas Meyer, Louen Pottier, Alejandro Ribes, Bruno Raffin
Pubblicato in: 2021
Editore: MLPS Workshop Neurips 2021

Sustainability in HPC: Vision and Opportunities

Autori: Mohak Chadha; Eishi Arima; Amir Raoofy; Michael Gerndt; Martin Schulz
Pubblicato in: Crossref, Numero 1, 2023
Editore: ACM
DOI: 10.1145/3624062.3624271

Simulation-Based Parallel Training

Autori: Lucas Meyer, Alejandro Ribes, Bruno Raffin
Pubblicato in: 2022
Editore: AI for Science Workshop, Neurips 2022

Unsteady CFD analysis and shape optimization of a hydraulic turbine

Autori: Varvara G. Asouti, Xenofon S. Trompoukis, Kyriakos C. Giannakoglou, Evgenia A. Kontoleontos
Pubblicato in: 15th European Conference on Turbomachinery Fluid dynamics & Thermodynamics, 2023
Editore: 15th European Conference on Turbomachinery Fluid dynamics & Thermodynamics
DOI: 10.29008/etc2023-209

An Experimental Analysis of Regression-Obtained HPC Scheduling Heuristics

Autori: Lucas Rosa; Danilo Carastan-Santos; Alfredo Goldman
Pubblicato in: https://inria.hal.science/hal-03979237, Numero 1, 2023
Editore: Springer
DOI: 10.1007/978-3-031-43943-8_6

Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers

Autori: Bartolini A.; Ficarelli F.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L.
Pubblicato in: 2022 IEEE 35th International System-on-Chip Conference (SOCC), 2022
Editore: IEEE
DOI: 10.1109/socc56010.2022.9908096

ExaMon-X: a Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems

Autori: Andrea Borghesi; Alessio Burrello; Andrea Bartolini
Pubblicato in: IEEE Internet of Things Journal, 2023, ISSN 2327-4662
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jiot.2021.3125885

Anomaly Detection and Anticipation in High Performance Computing Systems

Autori: Andrea Borghesi; Martin Molan; Michela Milano; Andrea Bartolini
Pubblicato in: IEEE Transactions on Parallel and Distributed Systems, 2022, ISSN 1045-9219
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2021.3082802

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

Autori: Ottaviano, Alessandro; Balas, Robert; Bambini, Giovanni; Del Vecchio, Antonio; Ciani, Maicol; Rossi, Davide; Benini, Luca; Bartolini, Andrea
Pubblicato in: International Journal of Parallel Programming, Numero 1, 2024, ISSN 0885-7458
Editore: Kluwer Academic Publishers
DOI: 10.21203/rs.3.rs-2525734/v1

Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses

Autori: 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
Pubblicato in: "Journal of Open Source Software, 2023, 8 (86), pp.5291. ⟨10.21105/joss.05291⟩", Numero 1, 2023, ISSN 2475-9066
Editore: Journal of Open Source Software,
DOI: 10.21105/joss.05291

M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer

Autori: Borghesi, Andrea; Di Santi, Carmine; Molan, Martin; Seyedkazemi Ardebili, Mohsen; Mauri, Alessio; Guarrasi, Massimiliano; Galetti, Daniela; Cestari, Mirko; Barchi, Francesco; BENINI, LUCA; Beneventi, Francesco; Bartolini, Andrea
Pubblicato in: Scientific Data, Vol 10, Iss 1, Pp 1-10 (2023), Numero 1, 2023, ISSN 2052-4463
Editore: Springer Nature
DOI: 10.1038/s41597-023-02174-3

Ruad: Unsupervised Anomaly Detection in Hpc Systems

Autori: Molan, Martin; Borghesi, Andrea; Cesarini, Daniele; BENINI, LUCA; Bartolini, Andrea
Pubblicato in: Future Generation Computer Systems, 141, Numero 1, 2022
Editore: University of Bologna
DOI: 10.2139/ssrn.4154097

Monitoring and Prediction of Thermal Emergencies in High Performance Computing Systems

Autori: Seyedkazemi Ardebili, Mohsen <1984>
Pubblicato in: Numero 1, 2022
Editore: University of Bologna
DOI: 10.48676/unibo/amsdottorato/9891

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