EUROPEAN PILOT FOR EXASCALE

Informazioni relative al progetto

EUPEX

ID dell’accordo di sovvenzione: 101033975

DOI

10.3030/101033975

Data della firma CE 17 Dicembre 2021

Data di avvio 1 Gennaio 2022

Data di completamento 31 Dicembre 2026

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Costo totale

€ 40 760 065,93

Contributo UE

€ 20 380 033,01

Coordinato da

BULL SAS
France

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (6)

In-kind systems description

Description of all systems made available in-kind by partners in different existing supercomputing centres (size, resources, environment, infrastructure, software ecosystem, etc.) to support the staged preparation of the software and applications upstream to EUPEX pilot availability.

Public website

The public website will be considered in this deliverable It will subsequently be maintained and updated to reflect the projects life

Software specification

This deliverable is led by ParTec.Specification of the complete software ecosystem meeting the requirements coming from WP3–WP4

OpenSequana specifications

This report is the official OpenSequana specification published for any provider to develop a blade compatible with OpenSequana infrastructure

Pilot Modular architecture description

This report is the final description of the EUPEX modular architecture resulting from other WP inputs and co-design inside WP4.

Application analysis report

Application description, selection of use-cases, and initial co-design input

Other (1)

Applications optimized for SVE and HBM

Use cases optimized for the use of SVE. Description of code changes and effort required. Lessons learned.

Pubblicazioni

Peer reviewed articles (15)

The Gaia AVU-GSR parallel solver: preliminary studies of a LSQR-based application in perspective of exascale systems

Autori: Cesare, Valentina; Becciani, Ugo; Vecchiato, Alberto; Lattanzi, Mario Gilberto; Pitari, Fabio; Raciti, Mario; Tudisco, Giuseppe; Aldinucci, Marco; Bucciarelli, Beatrice
Pubblicato in: Astronomy and Computing, Numero Volume 41, 2022, ISSN 2213-1337
Editore: Elsevier BV
DOI: 10.1016/j.ascom.2022.100660

Toward HPC application portability via C++ PSTL: the Gaia AVU-GSR code assessment

Autori: Giulio Malenza, Valentina Cesare, Marco Aldinucci, Ugo Becciani, Alberto Vecchiato
Pubblicato in: The Journal of Supercomputing, Numero 80, 2024, Pagina/e 14369-14390, ISSN 0920-8542
Editore: Kluwer Academic Publishers
DOI: 10.1007/s11227-024-06011-1

Design and Experimental Assessment of Real-Time Anomaly Detection Techniques for Automotive Cybersecurity

Autori: Pierpaolo Dini, Sergio Saponara
Pubblicato in: Sensors, Numero 23, 2024, Pagina/e 9231, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23229231

The MPI + CUDA Gaia AVU–GSR Parallel Solver Toward Next-generation Exascale Infrastructures

Autori: Valentina Cesare; Ugo Becciani; Alberto Vecchiato; Mario Gilberto Lattanzi; Fabio Pitari; Marco Aldinucci; Beatrice Bucciarelli
Pubblicato in: Publications of the Astronomical Society of the Pacific, Numero 1, 2023, ISSN 1538-3873
Editore: IOP Publishing
DOI: 10.1088/1538-3873/acdf1e

Tarazu: An Adaptive End-to-end I/O Load-balancing Framework for Large-scale Parallel File Systems

Autori: Arnab K. Paul, Sarah Neuwirth, Bharti Wadhwa, Feiyi Wang, Sarp Oral, Ali R. Butt
Pubblicato in: ACM Transactions on Storage, Numero Vol 20 Numero 2, 2024, ISSN 1553-3077
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3641885

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: Alessandro Ottaviano, Robert Balas, Giovanni Bambini, Antonio Del Vecchio, Maicol Ciani, Davide Rossi, Luca Benini, Andrea Bartolini
Pubblicato in: International Journal of Parallel Programming, Numero Vol 52, 2024, Pagina/e 93-123, ISSN 0885-7458
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10766-024-00761-4

Overview on Intrusion Detection Systems Design Exploiting Machine Learning for Networking Cybersecurity

Autori: Pierpaolo Dini; Abdussalam Elhanashi; Andrea Begni; Sergio Saponara; Qinghe Zheng; Kaouther Gasmi
Pubblicato in: Applied Sciences, Vol 13, Iss 13, p 7507 (2023), Numero 1, 2023, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app13137507

LSH SimilarityJoin Pattern in FastFlow

Autori: Nicolò Tonci, Sébastien Rivault, Mostafa Bamha, Sophie Robert, Sébastien Limet, Massimo Torquati
Pubblicato in: International Journal of Parallel Programming, Numero 52, 2024, Pagina/e 207-230, ISSN 0885-7458
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10766-024-00772-1

HazardNet: A thermal hazard prediction framework for datacenters

Autori: Seyedkazemi Ardebili, Mohsen; Acquaviva, Andrea; Benini, Luca; Bartolini, Andrea
Pubblicato in: Future Generation Computer Systems, Numero Vol 155, 2024, Pagina/e 340-353, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2024.01.031

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, 10, Numero 4, 2023, ISSN 2052-4463
Editore: Springer nature
DOI: 10.1038/s41597-023-02174-3

Integration of Deep Learning into the IoT: A Survey of Techniques and Challenges for Real-World Applications

Autori: Abdussalam Elhanashi, Pierpaolo Dini, Sergio Saponara, Qinghe Zheng
Pubblicato in: Electronics, Numero 12, 2023, Pagina/e 4925, ISSN 2079-9292
Editore: MDPI
DOI: 10.3390/electronics12244925

Automated Network Performance Characterization for HPC Systems

Autori: Bartelheimer, Niklas; Zhu, Zhaobin; Neuwirth, Sarah M.
Pubblicato in: International Journal of Networking and Computing, Numero 1, 2024, ISSN 2185-2847
Editore: IJNC
DOI: 10.5281/zenodo.10533962

Index Shipping for Efficient Replication in LSM Key-Value Stores with Hybrid KV Placement

Autori: Giorgos Stilianakis, Giorgos Saloustros, Orestis Chiotakis, Giorgos Xanthakis, Angelos Bilas
Pubblicato in: ACM Transactions on Storage, Numero Vol 20, Numero 2, 2024, ISSN 1553-3077
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3658672

Ruad: Unsupervised Anomaly Detection in Hpc Systems

Autori: Martin Molan; Andrea Borghesi; Daniele Cesarini; Luca Benini; Andrea Bartolini
Pubblicato in: Future Generation Computer Systems, 141, Numero 4, 2023, ISSN 1872-7115
Editore: Elsevier
DOI: 10.2139/ssrn.4154097

Distributed-Memory FastFlow Building Blocks

Autori: Nicolò Tonci, Massimo Torquati, Gabriele Mencagli, Marco Danelutto
Pubblicato in: International Journal of Parallel Programming, Numero 51, 2023, Pagina/e 1-21, ISSN 0885-7458
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10766-022-00750-5

Conference proceedings (17)

Impact of Cache Coherence on the Performance of Shared-Memory based MPI Primitives: A Case Study for Broadcast on Intel Xeon Scalable Processors

Autori: G. Katevenis, M. Ploumidis, and M. Marazakis
Pubblicato in: ICPP '23: Proceedings of the 52nd International Conference on Parallel Processing, 2023, Pagina/e 295-305
Editore: ACM
DOI: 10.1145/3605573.3605616

High-throughput drug discovery on the Fujitsu A64FX architecture

Autori: Filippo Barbari, Federico Ficarelli, Daniele Cesarini
Pubblicato in: HPCAsia '24 Workshops: Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops, 2024, Pagina/e 17-23, ISBN 979-8-4007-1652-2
Editore: ACM
DOI: 10.1145/3636480.3637095

Leveraging Portals4 Microbenchmarks to Enhance GASPI Performance on BXI Networks

Autori: Niklas Bartelheimer, Sarah Neuwirth
Pubblicato in: 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), 2024, Pagina/e 176-177
Editore: IEEE
DOI: 10.1109/clusterworkshops61563.2024.00046

MAWA-HPC: Modular and Automated Workload Analysis for HPC Systems

Autori: Zhu, Zhaobin; Bartelheimer, Niklas; Neuwirth, Sarah
Pubblicato in: ISC 2023 Research Poster, Numero 1, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8131441

Toward a Modular Workflow for Network Performance Characterization

Autori: Bartelheimer, Niklas; Zhu, Zhaobin; Neuwirth, Sarah M.
Pubblicato in: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Numero 1, 2023
Editore: IEEE
DOI: 10.1109/IPDPSW59300.2023.00062

TeraHeap: Reducing Memory Pressure in Managed Big Data Frameworks

Autori: Iacovos G. Kolokasis, Giannos Evdorou, Shoaib Akram, Christos Kozanitis, Anastasios Papagiannis, Foivos S. Zakkak, Polyvios Pratikakis, Angelos Bilas
Pubblicato in: ASPLOS 2023: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Numero Volume 3, 2023, Pagina/e Pages 694–709
Editore: ACM
DOI: 10.1145/3582016.3582045

Toward Reproducible Benchmarking of PGAS and MPI Communication Schemes

Autori: Niklas Bartelheimer; Sarah Neuwirth
Pubblicato in: 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), 2023, Pagina/e 1959-1967
Editore: IEEE
DOI: 10.1109/icpads60453.2023.00268

Running Kubernetes Workloads on HPC

Autori: Chazapis, Antony; Nikolaidis, Fotis; Marazakis, Manolis; Bilas, Angelos
Pubblicato in: Proceedings of the ISC 2023, Numero 1, 2023
Editore: Springer
DOI: 10.1007/978-3-031-40843-4_14

TREX Workshop: Code Tuning for the Exascale

Autori: Jalby, William; Valensi, Cédric; Blaas-Schenner, Claudia; Vialov, Ivan; Vysocký, Ondřej; Tomáš PANOC; Vavrik, Radim
Pubblicato in: Numero 6, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.8038366

Poster Abstract: Run-time Dynamic WCET Estimation

Autori: Lia Cagnizi; Federico Reghenzani; William Fornaciari
Pubblicato in: Proceedings of the IoTDI '23: International Conference on Internet-of-Things Design and Implementation, Numero 1, 2023, ISBN 979-8-4007-0037-8
Editore: ACM
DOI: 10.1145/3576842.3589168

Event-Driven End-to-End Testing For Containerized Applications

Autori: Nikolaidis, Fotios; Chazapis, Antony; Marazakis, Manolis; Bilas, Angelos
Pubblicato in: Proceedings of the ISC 2023, Numero 1, 2023
Editore: Springer
DOI: 10.1007/978-3-031-40843-4_12

Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models

Autori: Martin Molan, Andrea Borghesi, Luca Benini & Andrea Bartolini
Pubblicato in: Euro-Par 2022: Parallel Processing: 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22–26, 2022, Proceedings, 2022, Pagina/e 171-185
Editore: Springer
DOI: 10.1007/978-3-031-12597-3_11

An Empirical Roofline Model for Extreme-Scale I/O Workload Analysis

Autori: Zhu, Zaobin; Bartelheimer, Niklas; Neuwirth, Sarah M.
Pubblicato in: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Numero 3, 2023
Editore: IEEE
DOI: 10.1109/IPDPSW59300.2023.00106

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

Autori: Andrea Bartolini, Federico Ficarelli, Emanuele Parisi, Francesco Beneventi, Francesco Barchi, Daniele Gregori, Fabrizio Magugliani, Marco Cicala, Cosimo Gianfreda, Daniele Cesarini, Andrea AcquavivaI, Luca Benini
Pubblicato in: Proceedings of the 2022 IEEE 35th International System-on-Chip Conference (SOCC), 2022, ISBN 978-1-6654-5985-3
Editore: IEEE
DOI: 10.1109/socc56010.2022.9908096

Arax: a runtime framework for decoupling applications from heterogeneous accelerators

Autori: Manos Pavlidakis, Stelios Mavridis, Antony Chazapis, Giorgos Vasiliadis, Angelos Bilas
Pubblicato in: SoCC '22: Proceedings of the 13th Symposium on Cloud Computing, 2022, Pagina/e 1-15, ISBN 978-1-4503-9414-7
Editore: ACM
DOI: 10.1145/3542929.3563467

Semi-supervised anomaly detection on a Tier-0 HPC system

Autori: Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
Pubblicato in: CF '22: Proceedings of the 19th ACM International Conference on Computing Frontiers, 2022, ISBN 9781450393386
Editore: ACM
DOI: 10.1145/3528416.3530867

Multi-level anomaly prediction in Tier-0 datacenter: a deep learning approach

Autori: Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Luca Benini
Pubblicato in: CF '22: Proceedings of the 19th ACM International Conference on Computing Frontiers, 2022, Pagina/e 197-198, ISBN 9781450393386
Editore: ACM
DOI: 10.1145/3528416.3530864

Book chapters (1)

Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection

Autori: Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
Pubblicato in: Lecture Notes in Computer Science, Euro-Par 2022: Parallel Processing Workshops, 2023, Pagina/e 294-298
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-31209-0_24