EUROPEAN PILOT FOR EXASCALE

Livrables

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

Applications optimized for SVE and HBM

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

Publications

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

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

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

Auteurs: Giulio Malenza, Valentina Cesare, Marco Aldinucci, Ugo Becciani, Alberto Vecchiato
Publié dans: The Journal of Supercomputing, Numéro 80, 2024, Page(s) 14369-14390, ISSN 0920-8542
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11227-024-06011-1

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

Auteurs: Pierpaolo Dini, Sergio Saponara
Publié dans: Sensors, Numéro 23, 2024, Page(s) 9231, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23229231

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

Auteurs: Valentina Cesare; Ugo Becciani; Alberto Vecchiato; Mario Gilberto Lattanzi; Fabio Pitari; Marco Aldinucci; Beatrice Bucciarelli
Publié dans: Publications of the Astronomical Society of the Pacific, Numéro 1, 2023, ISSN 1538-3873
Éditeur: 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

Auteurs: Arnab K. Paul, Sarah Neuwirth, Bharti Wadhwa, Feiyi Wang, Sarp Oral, Ali R. Butt
Publié dans: ACM Transactions on Storage, Numéro Vol 20 Numéro 2, 2024, ISSN 1553-3077
Éditeur: 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

Auteurs: Alessandro Ottaviano, Robert Balas, Giovanni Bambini, Antonio Del Vecchio, Maicol Ciani, Davide Rossi, Luca Benini, Andrea Bartolini
Publié dans: International Journal of Parallel Programming, Numéro Vol 52, 2024, Page(s) 93-123, ISSN 0885-7458
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10766-024-00761-4

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

Auteurs: Pierpaolo Dini; Abdussalam Elhanashi; Andrea Begni; Sergio Saponara; Qinghe Zheng; Kaouther Gasmi
Publié dans: Applied Sciences, Vol 13, Iss 13, p 7507 (2023), Numéro 1, 2023, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app13137507

LSH SimilarityJoin Pattern in FastFlow

Auteurs: Nicolò Tonci, Sébastien Rivault, Mostafa Bamha, Sophie Robert, Sébastien Limet, Massimo Torquati
Publié dans: International Journal of Parallel Programming, Numéro 52, 2024, Page(s) 207-230, ISSN 0885-7458
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10766-024-00772-1

HazardNet: A thermal hazard prediction framework for datacenters

Auteurs: Seyedkazemi Ardebili, Mohsen; Acquaviva, Andrea; Benini, Luca; Bartolini, Andrea
Publié dans: Future Generation Computer Systems, Numéro Vol 155, 2024, Page(s) 340-353, ISSN 0167-739X
Éditeur: Elsevier BV
DOI: 10.1016/j.future.2024.01.031

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

Auteurs: 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
Publié dans: Scientific Data, 10, Numéro 4, 2023, ISSN 2052-4463
Éditeur: 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

Auteurs: Abdussalam Elhanashi, Pierpaolo Dini, Sergio Saponara, Qinghe Zheng
Publié dans: Electronics, Numéro 12, 2023, Page(s) 4925, ISSN 2079-9292
Éditeur: MDPI
DOI: 10.3390/electronics12244925

Automated Network Performance Characterization for HPC Systems

Auteurs: Bartelheimer, Niklas; Zhu, Zhaobin; Neuwirth, Sarah M.
Publié dans: International Journal of Networking and Computing, Numéro 1, 2024, ISSN 2185-2847
Éditeur: IJNC
DOI: 10.5281/zenodo.10533962

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

Auteurs: Giorgos Stilianakis, Giorgos Saloustros, Orestis Chiotakis, Giorgos Xanthakis, Angelos Bilas
Publié dans: ACM Transactions on Storage, Numéro Vol 20, Numéro 2, 2024, ISSN 1553-3077
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.1145/3658672

Ruad: Unsupervised Anomaly Detection in Hpc Systems

Auteurs: Martin Molan; Andrea Borghesi; Daniele Cesarini; Luca Benini; Andrea Bartolini
Publié dans: Future Generation Computer Systems, 141, Numéro 4, 2023, ISSN 1872-7115
Éditeur: Elsevier
DOI: 10.2139/ssrn.4154097

Distributed-Memory FastFlow Building Blocks

Auteurs: Nicolò Tonci, Massimo Torquati, Gabriele Mencagli, Marco Danelutto
Publié dans: International Journal of Parallel Programming, Numéro 51, 2023, Page(s) 1-21, ISSN 0885-7458
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10766-022-00750-5

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

Auteurs: G. Katevenis, M. Ploumidis, and M. Marazakis
Publié dans: ICPP '23: Proceedings of the 52nd International Conference on Parallel Processing, 2023, Page(s) 295-305
Éditeur: ACM
DOI: 10.1145/3605573.3605616

High-throughput drug discovery on the Fujitsu A64FX architecture

Auteurs: Filippo Barbari, Federico Ficarelli, Daniele Cesarini
Publié dans: HPCAsia '24 Workshops: Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops, 2024, Page(s) 17-23, ISBN 979-8-4007-1652-2
Éditeur: ACM
DOI: 10.1145/3636480.3637095

Leveraging Portals4 Microbenchmarks to Enhance GASPI Performance on BXI Networks

Auteurs: Niklas Bartelheimer, Sarah Neuwirth
Publié dans: 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), 2024, Page(s) 176-177
Éditeur: IEEE
DOI: 10.1109/clusterworkshops61563.2024.00046

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

Auteurs: Zhu, Zhaobin; Bartelheimer, Niklas; Neuwirth, Sarah
Publié dans: ISC 2023 Research Poster, Numéro 1, 2023
Éditeur: Zenodo
DOI: 10.5281/zenodo.8131441

Toward a Modular Workflow for Network Performance Characterization

Auteurs: Bartelheimer, Niklas; Zhu, Zhaobin; Neuwirth, Sarah M.
Publié dans: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Numéro 1, 2023
Éditeur: IEEE
DOI: 10.1109/IPDPSW59300.2023.00062

TeraHeap: Reducing Memory Pressure in Managed Big Data Frameworks

Auteurs: Iacovos G. Kolokasis, Giannos Evdorou, Shoaib Akram, Christos Kozanitis, Anastasios Papagiannis, Foivos S. Zakkak, Polyvios Pratikakis, Angelos Bilas
Publié dans: ASPLOS 2023: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Numéro Volume 3, 2023, Page(s) Pages 694–709
Éditeur: ACM
DOI: 10.1145/3582016.3582045

Toward Reproducible Benchmarking of PGAS and MPI Communication Schemes

Auteurs: Niklas Bartelheimer; Sarah Neuwirth
Publié dans: 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), 2023, Page(s) 1959-1967
Éditeur: IEEE
DOI: 10.1109/icpads60453.2023.00268

Running Kubernetes Workloads on HPC

Auteurs: Chazapis, Antony; Nikolaidis, Fotis; Marazakis, Manolis; Bilas, Angelos
Publié dans: Proceedings of the ISC 2023, Numéro 1, 2023
Éditeur: Springer
DOI: 10.1007/978-3-031-40843-4_14

TREX Workshop: Code Tuning for the Exascale

Auteurs: Jalby, William; Valensi, Cédric; Blaas-Schenner, Claudia; Vialov, Ivan; Vysocký, Ondřej; Tomáš PANOC; Vavrik, Radim
Publié dans: Numéro 6, 2023
Éditeur: Zenodo
DOI: 10.5281/zenodo.8038366

Poster Abstract: Run-time Dynamic WCET Estimation

Auteurs: Lia Cagnizi; Federico Reghenzani; William Fornaciari
Publié dans: Proceedings of the IoTDI '23: International Conference on Internet-of-Things Design and Implementation, Numéro 1, 2023, ISBN 979-8-4007-0037-8
Éditeur: ACM
DOI: 10.1145/3576842.3589168

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

Auteurs: Nikolaidis, Fotios; Chazapis, Antony; Marazakis, Manolis; Bilas, Angelos
Publié dans: Proceedings of the ISC 2023, Numéro 1, 2023
Éditeur: Springer
DOI: 10.1007/978-3-031-40843-4_12

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

Auteurs: Martin Molan, Andrea Borghesi, Luca Benini & Andrea Bartolini
Publié dans: Euro-Par 2022: Parallel Processing: 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22–26, 2022, Proceedings, 2022, Page(s) 171-185
Éditeur: Springer
DOI: 10.1007/978-3-031-12597-3_11

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

Auteurs: Zhu, Zaobin; Bartelheimer, Niklas; Neuwirth, Sarah M.
Publié dans: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Numéro 3, 2023
Éditeur: IEEE
DOI: 10.1109/IPDPSW59300.2023.00106

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

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

Arax: a runtime framework for decoupling applications from heterogeneous accelerators

Auteurs: Manos Pavlidakis, Stelios Mavridis, Antony Chazapis, Giorgos Vasiliadis, Angelos Bilas
Publié dans: SoCC '22: Proceedings of the 13th Symposium on Cloud Computing, 2022, Page(s) 1-15, ISBN 978-1-4503-9414-7
Éditeur: ACM
DOI: 10.1145/3542929.3563467

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

Auteurs: Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
Publié dans: CF '22: Proceedings of the 19th ACM International Conference on Computing Frontiers, 2022, ISBN 9781450393386
Éditeur: ACM
DOI: 10.1145/3528416.3530867

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

Auteurs: Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Luca Benini
Publié dans: CF '22: Proceedings of the 19th ACM International Conference on Computing Frontiers, 2022, Page(s) 197-198, ISBN 9781450393386
Éditeur: ACM
DOI: 10.1145/3528416.3530864

Machine Learning Methodologies to Support HPC Systems Operations: Anomaly Detection

Auteurs: Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
Publié dans: Lecture Notes in Computer Science, Euro-Par 2022: Parallel Processing Workshops, 2023, Page(s) 294-298
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-31209-0_24

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