CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
D7.3. Refined parallel Programming Interfaces (FORTH, O, PU) [M30]. This document will elaborate on D7.1 based on the experience and results in D7.2. It will also provide results for the updated version of the implementations in D7.2.
Compilation and Emulation infrastructure (opens in new window)D9.1. Compilation and Emulation infrastructure (BSC, O, PU) [M9]. This deliverable will provide an updated version of the EPI compilation and Emulation infrastructure (Vehave) extended to support v1.0 of the RISC-V ISA. It will support C/C++ and will include automatic vectorization capabilities.
D10.5 Software and system integration specification and requirements (BSC,R, PU) (M6). Working with a software/hardware co-design approach, this deliverable will provide architectural requirements extracted from the following applications: EC-Earth and GROMACS HPC applications, BLAS, FFTW and stencil numerical HPC kernels, image processing and deep learning applications as well as the molecular dynamics application utilizing both HPC and deep learning kernels.
First Dissemination and Communication Report (opens in new window)D2.2: First Dissemination and Communication Report (BSC, R, PU) [M12] This deliverable will report on the dissemination and communication activities of the project done in the first year.
Collaboration roadmap and collaboration agreement with EUPEX (opens in new window)D35 Collaboration roadmap and collaboration agreement with EUPEX EUPEX aims at delivering a largescale modular demonstrator based on the ARMbased general purpose processor design under development in EPI In contrast the European PILOT will deliver a demonstrator based on the RISCV accelerators in EPI The European PILOT output could be integrated as an additional module into the EUPEX modular supercomputer For this reason we will define a collaboration roadmap between the two pilots to ensure the integration of the two projects into a global framework A joint Collaboration Agreement will be signed to that effect
Parallel Programming Runtimes specifications (opens in new window)D71 Parallel Programming Runtimes specifications BSC R PU M6 This deliverable will define the functionalities and interfaces that will have to be integrated in the Pilot Beyond the basic MPI and OpenMP support based in MPICH and the LLVM OpenMP runtime it will include the TAMPI interface for improved interoperability between MPI and OpenMP resulting in more productive mechanisms to achieve communicationcomputation overlap Also the DLB interfaces to dynamically reassign cores between OpenMP threads in different processes The document will specify the fine grain resource management policies to be implemented by these runtimes within the processes and at the node level as well as the vertical interface to the coarser grain schedulers in WP5 It will also specify the optimizations to be implemented in the internals of the runtime like vectorization offloading to communication devices as well as mechanisms to be used to minimize the impact of noise OS communications in performance
Design of AI frameworks for the Pilot platform (opens in new window)D61 Design of AI frameworks for the Pilot platform ETH R PU M6 This deliverable will present the design of the AI frameworks ONNXDaCe TensorFlow Tarantela for accelerated ONNXDaCe TF and distributed Tarantella learning taking into account the requirements of the respective WP1 verticals
Architecture specification and requirements for the MLS compute tile (opens in new window)D10.2 Architecture specification and requirements for the MLS compute tile (ETH, R, PU) (M6). This deliverable will provide the architecture specification of the Machine Learning and Stencil (MLS) compute tile.
Refined System Software components architecture (opens in new window)D8.3. Refined System Software components architecture (CINI, R, PU) [M30]. This report will detail, based on the experience reported in D8.2. and the detailed knowledge of the actual design resulting from Stream 3 will refine the specification and architecture of the File system and Resource management high level system software components to be implemented on the actual Pilot.
System Software components architecture (opens in new window)D8.1. System Software components architecture (BSC, R, PU) [M6]. This deliverable will describe the functionality and interfaces of the File System and Global Resource Management components that will be provided to submit and execute workloads to the system. For general functionalities adopted from standards of existing developments, the document will refer to the appropriate external documentation. New features defined in this task (e.g. integration of the components) will be described. The document will also describe the global architecture of the implementation.
Dissemination and Communication Plan (opens in new window)D21 Dissemination and Communication Plan BSC R PU M3 This deliverable will set out the dissemination and communication strategy and the activities to be undertaken to achieve it Results of the dissemination work will be reported in the periodic and final reports
Project Management and Quality Guidelines (opens in new window)Publications
Author(s):
Federico Ficarelli, Andrea Bartolini, Emanuele Parisi, Francesco Beneventi, Francesco Barchi, Daniele Gregori, Fabrizio Magugliani, Marco Cicala, Cosimo Gianfreda, Daniele Cesarini, Andrea Acquaviva and Luca Benini
Published in:
2022
Publisher:
ACM
DOI:
10.1145/3528416.3530869
Author(s):
Alessandro Ottaviano, Robert Balas, Giovanni Bambini, Antonio del Vecchio, Maicol Ciani, Davide Rossi, Luca Benini, Andrea Bartolini
Published in:
Embedded Computer Systems: Architectures, Modeling, and Simulation - Lecture Notes in Computer Science (SAMOS22), 2022, Page(s) 120-135, ISBN 978-3-031-15073-9
Publisher:
Springer
DOI:
10.1007/978-3-031-15074-6_8
Author(s):
A. Ivanov, N. Dryden, T. Hoefler
Published in:
Sparsity in Neural Networks workshop 2022, 2022
Publisher:
ETH Zurich, Scalable Parallel Computing Laboratory
DOI:
10.48550/arxiv.2304.07613
Author(s):
Gianluca Mittone, Nicolò Tonci, Robert Birke, Iacopo Colonnelli, Doriana Medić, Andrea Bartolini, Roberto Esposito, Emanuele Parisi, Francesco Beneventi, Mirko Polato, Massimo Torquati, Luca Benini, Marco Aldinucci
Published in:
2023
Publisher:
ACM
DOI:
10.48550/arxiv.2302.07946
Author(s):
Fonio, S.
Published in:
Image Analysis and Processing - ICIAP 2023 Workshops. ICIAP 2023. Lecture Notes in Computer Science, 2024, ISBN 978-3-031-51026-7
Publisher:
Springer Nature
DOI:
10.1007/978-3-031-51026-7_20
Author(s):
Marco Aldinucci, Giovanni Agosta, Antonio Andreini, Claudio A Ardagna, Andrea Bartolini, Alessandro Cilardo, Biagio Cosenza, Marco Danelutto, Roberto Esposito, William Fornaciari, Roberto Giorgi, Davide Lengani, Raffaele Montella, Mauro Olivieri, Sergio Saponara, Daniele Simoni, Massimo Torquati
Published in:
2021
Publisher:
ACM
DOI:
10.1145/3457388.3458508
Author(s):
Niels Gleinig, Maciej Besta, Torsten Hoefler
Published in:
36th IEEE Interational Parallel and Distributed Processing Symposium, 2022, ISBN 978-1-6654-8106-9
Publisher:
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
Author(s):
Niels Gleinig, Torsten Hoefler
Published in:
Structural Information and Communication Complexity. SIROCCO 2022, Lecture Notes in Computer Science, 2022, Page(s) 135-153, ISBN 978-3-031-09992-2
Publisher:
Springer, Cham
DOI:
10.1007/978-3-031-09993-9_8
Author(s):
Arpan Suravi Prasad; Luca Benini; Francesco Conti
Published in:
2023 60th ACM/IEEE Design Automation Conference (DAC), 2023, ISBN 979-8-3503-2348-1
Publisher:
IEEE
DOI:
10.1109/dac56929.2023.10247945
Author(s):
Alexandru Calotoiu, Tal Ben-Nun,Grzegorz Kwasniewski, Johannes de Fine Licht, Timo Schneider, Philipp Schaad, Torsten Hoefler
Published in:
ICS '22: Proceedings of the 36th ACM International Conference on Supercomputing, 2022
Publisher:
ICS '22: Proceedings of the 36th ACM International Conference on Supercomputing
DOI:
10.1145/3524059.3532389
Author(s):
Gianluca Mittone; Filip Svoboda; Marco Aldinucci; Nicholas Lane; Pietro Lió
Published in:
In Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion), 2023, ISBN 978-1-4503-9419-2
Publisher:
ACM DL
DOI:
10.1145/3543873.3587687
Author(s):
Bertaccini, Luca; Paulin, Gianna; Fischer, Tim; Mach, Stefan; Benini, Luca
Published in:
2022 IEEE 29th Symposium on Computer Arithmetic (ARITH), Issue 5, 2022
Publisher:
IEEE
DOI:
10.1109/arith54963.2022.00010
Author(s):
M. Betianu, A. Malan, M. Aldinucci, R. Birke, and L. Y. Chen
Published in:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Lecture Notes in Computer Science, 2024, ISBN 978-981-97-2259-4
Publisher:
Springer
DOI:
10.1007/978-981-97-2259-4_21
Author(s):
Gianluca Mittone; Walter Riviera; Iacopo Colonnelli; Robert Birke; Marco Aldinucci
Published in:
Euro-Par 2023: Parallel Processing, Lecture Notes in Computer Science, Issue 3, 2023, Page(s) 383-396, ISBN 978-3-031-39698-4
Publisher:
Springer Nature
DOI:
10.1007/978-3-031-39698-4_26
Author(s):
Iacopo Colonnelli, Bruno Casella, Gianluca Mittone, Yasir Arfat, Barbara Cantalupo, Roberto Esposito, Alberto Riccardo Martinelli, Doriana Medic, Marco Aldinucci
Published in:
2022, Page(s) 193-199, ISBN 978-3-031-34167-0
Publisher:
Springer
DOI:
10.1007/978-3-031-34167-0_39
Author(s):
Chi Zhang; Paul Scheffler; Thomas Benz; Matteo Perotti; Luca Benini
Published in:
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023, ISBN 979-8-3503-9624-9
Publisher:
IEEE
DOI:
10.23919/date56975.2023.10137243
Author(s):
Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci
Published in:
The 1st Italian Conference on Big Data and Data Science, 2022, Page(s) 99-100
Publisher:
CEUR-WS
DOI:
10.48550/arxiv.2303.17942
Author(s):
Shigang Li; Kazuki Osawa; Torsten Hoefler
Published in:
SC '22: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, 2022, Page(s) 1-15, ISBN 978-1-6654-5444-5
Publisher:
IEEE
DOI:
10.1109/sc41404.2022.00042
Author(s):
Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen
Published in:
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023, 2023, Page(s) 20-35, ISBN 978-3-031-43424-2
Publisher:
Springer Nature
DOI:
10.1007/978-3-031-43424-2_2
Author(s):
Mirko Polato; Roberto Esposito; Marco Aldinucci
Published in:
Proceedings of the International Joint Conference on Neural Networks (IJCNN 2022), 2022, Page(s) 1-10, ISBN 978-1-7281-8671-9
Publisher:
IEEE
DOI:
10.1109/ijcnn55064.2022.9892284
Author(s):
Alexandre de Limas Santana; Adrià Armejach; Marc Casas
Published in:
PPoPP '23: Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023, Page(s) 342-353, ISBN 979-84-00-70015-6
Publisher:
ACM DL
DOI:
10.1145/3572848.3577435
Author(s):
Johannes de Fine Licht, Christopher A. Pattison, Alexandros Nikolaos Ziogas, David Simmons-Duffin, Torsten Hoefler
Published in:
2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2022
Publisher:
2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)
DOI:
10.1109/fccm53951.2022.9786219
Author(s):
Manos Pavlidakis, Stelios Mavridis, Antony Chazapis, Giorgos Vasiliadis, and Angelos Bilas.
Published in:
SoCC '22: Proceedings of the 13th Symposium on Cloud Computing, 2022, ISBN 978-1-4503-9414-7
Publisher:
Association for Computing Machinery
DOI:
10.1145/3542929.3563467
Author(s):
Oliver Rausch, Tal Ben-Nun, Nikoli Dryden, Andrei Ivanov, Shigang Li, Torsten Hoefler
Published in:
ICS '22: Proceedings of the 36th ACM International Conference on Supercomputing, 2022, ISBN 978-1-4503-9281-5
Publisher:
Association for Computing Machinery
DOI:
10.1145/3524059.3532364
Author(s):
Angelo Garofalo; Geethan Karunaratne; Francesco Conti; DAVIDE ROSSI; Irem Boybat; GIANMARCO OTTAVI; LUCA BENINI
Published in:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Issue 1, 2022, ISSN 2156-3357
Publisher:
IEEE Circuits and Systems Society
DOI:
10.1109/jetcas.2022.3170152
Author(s):
Jie Chen; Igor Loi; Eric Flamand; Giuseppe Tagliavini; Luca Benini; Davide Rossi
Published in:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 31 (4), Issue 8, 2023, ISSN 1557-9999
Publisher:
IEEE
DOI:
10.1109/tvlsi.2022.3228336
Author(s):
Ottaviano, A., Balas, R., Bambini, G. et al
Published in:
International Journal of Parallel Programming, 2024, ISSN 1573-7640
Publisher:
Springer
DOI:
10.1007/s10766-024-00761-4
Author(s):
Gianmarco Ottavi; Angelo Garofalo; Giuseppe Tagliavini; Francesco Conti; Alfio Di Mauro; Luca Benini; Davide Rossi
Published in:
IEEE Transactions on Circuits and Systems I: Regular Papers, 70 (6), Issue 8, 2023, ISSN 1558-0806
Publisher:
IEEE
DOI:
10.1109/tcsi.2023.3254810
Author(s):
Angelo Garofalo; Yvan Tortorella; Matteo Perotti; Luca Valente; Alessandro Nadalini; Luca Benini; Davide Rossi; Francesco Conti
Published in:
IEEE Open Journal of the Solid-State Circuits Society, Issue 1, 2022, ISSN 2644-1349
Publisher:
IEEE
DOI:
10.1109/ojsscs.2022.3210082
Author(s):
Paul Scheffler; Florian Zaruba; Fabian Schuiki; Torsten Hoefler; Luca Benini
Published in:
IEEE Transactions on Parallel and Distributed Systems, 2023, ISSN 1558-2183
Publisher:
IEEE
DOI:
10.1109/tpds.2023.3322029
Author(s):
L. Bertaccini, G. Paulin, M. Cavalcante, T. Fischer, S. Mach and L. Benini
Published in:
IEEE Transactions on Emerging Topics in Computing, 2024, ISSN 2168-6750
Publisher:
IEEE Computer Society
DOI:
10.1109/tetc.2024.3365354
Author(s):
Tim Fischer; Michael Rogenmoser; Matheus Cavalcante; Frank K. Gürkaynak; Luca Benini
Published in:
IEEE Design&Test, 2023, ISSN 2168-2364
Publisher:
IEEE
DOI:
10.3929/ethz-b-000638546
Author(s):
Benz, Thomas, Rogenmoser, Michael, Scheffler, Paul, Riedel, Samuel, Ottaviano, Alessandro,
Kurth, Andreas, Hoefler, Torsten, Benini, Luca
Published in:
IEEE Transactions on Computers, 2024, ISSN 1557-9956
Publisher:
IEEE
DOI:
10.1109/tc.2023.3329930
Author(s):
Stepan Nassyr, Kaveh Haghighi Mood, Andreas Herten
Published in:
2024
Publisher:
Jülich Supercomputing Center (JSC)
DOI:
10.34734/fzj-2023-03437
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