EUROPEAN PILOT FOR EXASCALE

Deliverables

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

Author(s): Cesare, Valentina; Becciani, Ugo; Vecchiato, Alberto; Lattanzi, Mario Gilberto; Pitari, Fabio; Raciti, Mario; Tudisco, Giuseppe; Aldinucci, Marco; Bucciarelli, Beatrice
Published in: Astronomy and Computing, Issue Volume 41, 2022, ISSN 2213-1337
Publisher: Elsevier BV
DOI: 10.1016/j.ascom.2022.100660

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

Author(s): Valentina Cesare; Ugo Becciani; Alberto Vecchiato; Mario Gilberto Lattanzi; Fabio Pitari; Marco Aldinucci; Beatrice Bucciarelli
Published in: Publications of the Astronomical Society of the Pacific, Issue 1, 2023, ISSN 1538-3873
Publisher: 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

Author(s): Arnab K. Paul, Sarah Neuwirth, Bharti Wadhwa, Feiyi Wang, Sarp Oral, Ali R. Butt
Published in: ACM Transactions on Storage, Issue Vol 20 Issue 2, 2024, ISSN 1553-3077
Publisher: 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

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

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

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

HazardNet: A thermal hazard prediction framework for datacenters

Author(s): Seyedkazemi Ardebili, Mohsen; Acquaviva, Andrea; Benini, Luca; Bartolini, Andrea
Published in: Future Generation Computer Systems, Issue Vol 155, 2024, Page(s) 340-353, ISSN 0167-739X
Publisher: Elsevier BV
DOI: 10.1016/j.future.2024.01.031

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

Author(s): 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
Published in: Scientific Data, 10, Issue 4, 2023, ISSN 2052-4463
Publisher: Springer nature
DOI: 10.1038/s41597-023-02174-3

Automated Network Performance Characterization for HPC Systems

Author(s): Bartelheimer, Niklas; Zhu, Zhaobin; Neuwirth, Sarah M.
Published in: International Journal of Networking and Computing, Issue 1, 2024, ISSN 2185-2847
Publisher: IJNC
DOI: 10.5281/zenodo.10533962

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

Author(s): Giorgos Stilianakis, Giorgos Saloustros, Orestis Chiotakis, Giorgos Xanthakis, Angelos Bilas
Published in: ACM Transactions on Storage, Issue Vol 20, Issue 2, 2024, ISSN 1553-3077
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3658672

Ruad: Unsupervised Anomaly Detection in Hpc Systems

Author(s): Martin Molan; Andrea Borghesi; Daniele Cesarini; Luca Benini; Andrea Bartolini
Published in: Future Generation Computer Systems, 141, Issue 4, 2023, ISSN 1872-7115
Publisher: Elsevier
DOI: 10.2139/ssrn.4154097

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

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

High-throughput drug discovery on the Fujitsu A64FX architecture

Author(s): Filippo Barbari, Federico Ficarelli, Daniele Cesarini
Published in: 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
Publisher: ACM
DOI: 10.1145/3636480.3637095

Leveraging Portals4 Microbenchmarks to Enhance GASPI Performance on BXI Networks

Author(s): Niklas Bartelheimer, Sarah Neuwirth
Published in: 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), 2024, Page(s) 176-177
Publisher: IEEE
DOI: 10.1109/clusterworkshops61563.2024.00046

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

Author(s): Zhu, Zhaobin; Bartelheimer, Niklas; Neuwirth, Sarah
Published in: ISC 2023 Research Poster, Issue 1, 2023
Publisher: Zenodo
DOI: 10.5281/zenodo.8131441

Toward a Modular Workflow for Network Performance Characterization

Author(s): Bartelheimer, Niklas; Zhu, Zhaobin; Neuwirth, Sarah M.
Published in: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Issue 1, 2023
Publisher: IEEE
DOI: 10.1109/IPDPSW59300.2023.00062

TeraHeap: Reducing Memory Pressure in Managed Big Data Frameworks

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

Toward Reproducible Benchmarking of PGAS and MPI Communication Schemes

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

Running Kubernetes Workloads on HPC

Author(s): Chazapis, Antony; Nikolaidis, Fotis; Marazakis, Manolis; Bilas, Angelos
Published in: Proceedings of the ISC 2023, Issue 1, 2023
Publisher: Springer
DOI: 10.1007/978-3-031-40843-4_14

TREX Workshop: Code Tuning for the Exascale

Author(s): Jalby, William; Valensi, Cédric; Blaas-Schenner, Claudia; Vialov, Ivan; Vysocký, Ondřej; Tomáš PANOC; Vavrik, Radim
Published in: Issue 6, 2023
Publisher: Zenodo
DOI: 10.5281/zenodo.8038366

Poster Abstract: Run-time Dynamic WCET Estimation

Author(s): Lia Cagnizi; Federico Reghenzani; William Fornaciari
Published in: Proceedings of the IoTDI '23: International Conference on Internet-of-Things Design and Implementation, Issue 1, 2023, ISBN 979-8-4007-0037-8
Publisher: ACM
DOI: 10.1145/3576842.3589168

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

Author(s): Nikolaidis, Fotios; Chazapis, Antony; Marazakis, Manolis; Bilas, Angelos
Published in: Proceedings of the ISC 2023, Issue 1, 2023
Publisher: Springer
DOI: 10.1007/978-3-031-40843-4_12

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

Author(s): Martin Molan, Andrea Borghesi, Luca Benini & Andrea Bartolini
Published in: 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
Publisher: Springer
DOI: 10.1007/978-3-031-12597-3_11

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

Author(s): Zhu, Zaobin; Bartelheimer, Niklas; Neuwirth, Sarah M.
Published in: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Issue 3, 2023
Publisher: IEEE
DOI: 10.1109/IPDPSW59300.2023.00106

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

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

Arax: a runtime framework for decoupling applications from heterogeneous accelerators

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

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

Author(s): Martin Molan, Andrea Borghesi, Luca Benini, Andrea Bartolini
Published in: CF '22: Proceedings of the 19th ACM International Conference on Computing Frontiers, 2022, ISBN 9781450393386
Publisher: ACM
DOI: 10.1145/3528416.3530867

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

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

Deliverables

Publications

Share this page

Download