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CORDIS

Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale

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

eXtreme Secure Crypto IP, part 2 (opens in new window)

Technical report and database of the secure IP supporting lattice cryptography (synthesizable in the FPGA-based IDV of WP5). Part 2.

IP for low-latency inter-node communication links, part 2 (opens in new window)

Technical report and database (synthesizable in the FPGA-based IDV of WP5) of the IP for low-latency inter-node communication links. Part 2.

IP for fast task scheduling, part 2 (opens in new window)

Technical report and database (synthesizable in the FPGA based IDV of WP5) of the IP for fast task scheduling. Part 2.

IP with data compression, part 1 (opens in new window)

Technical report and database of the data compression IP (synthesizable in the FPGA-based IDV of WP5). Part 1.

AI Accelerator with mixed-precision including Posit, part 2 (opens in new window)

Technical report and database of the data compression IP (synthesizable in the FPGA-based IDV of WP5). Part 2.

IP with data compression, part 2 (opens in new window)

Technical report and database of the data compression IP (synthesizable in the FPGA-based IDV of WP5). Part 2.

AI Accelerator with mixed-precision including Posit, part 1 (opens in new window)

Technical report and database of the AI accelerator IP (synthesizable in the FPGA-based IDV of WP5). Part 1.

IP for low-latency inter-node communication links, part 1 (opens in new window)

Technical report and database (synthesizable in the FPGA-based IDV of WP5) of the IP for low-latency inter-node communication links. Part 1.

eXtreme Secure Crypto IP, part 1 (opens in new window)

Technical report and database of the secure IP supporting lattice cryptography (synthesizable in the FPGA-based IDV of WP5). Part 1

IP for fast task scheduling, part 1 (opens in new window)

Technical report and database (synthesizable in the FPGA based IDV of WP5) of the IP for fast task scheduling. Part 1.

Communication and Dissemination Report 2 (opens in new window)

The final report provides a summary of the dissemination actions undertaken during the project, as well as an overview of the plans of the partners to further disseminate the generated knowledge beyond the lifetime of the project.

Benchmarking design and planning (opens in new window)

Benchmark results carried out on the available HPC platforms.

Project Flyer & Dissemination Materials (opens in new window)

The deliverable includes a set of communication and dissemination materials targeting a variety of stakeholders

Update of the collaboration plan with definition of common objectives and activities including milestones (opens in new window)

Update on the report on the identification of common objectives and the definition and implementation of a collaboration plan, including the definition of the related project-specific milestones.

Evaluation plan (opens in new window)

This deliverable provides initial results of T6.4 to orchestrate evaluation of TEXTAROSSA solutions.

Final report of the collaboration plan with definition of common objectives and activities including milestones (opens in new window)

Final report on the identification of common objectives and the definition and implementation of a collaboration plan, including the definition of the related project-specific milestones.

Communication, Dissemination and Awareness Raising Strategy (opens in new window)

This deliverable deals with the overall communication dissemination and raising awareness strategy of the project including target audience means to reach the audience and procedures to follow for this scope

Project management and handbook (opens in new window)

The deliverable includes management processes and a complete handbook to share information set up internal processes and align activities

Collaboration plan with definition of common objectives and activities including milestones (opens in new window)

The final report provides a summary of the dissemination actions undertaken during the project as well as an overview of the plans of the partners to further disseminate the generated knowledge beyond the lifetime of the project

Requirements & Specifications (opens in new window)

Definition of the specific technologies that will be used to exploit the applications.

Proof of Concept Design (opens in new window)

Design of HW and SW prototypes able to achieve the KPIs of the objectives.

Communication and Dissemination Report 1 (opens in new window)

This deliverable reports on the dissemination actions undertaken during the first reporting period, as well as an overview of the plans of the partners to further disseminate the generated knowledge during the second period. It also includes the plan for the book. This report covers the training and networking too.

Consolidated specs of accelerators IPs (opens in new window)

Technical report with consolidated specifications and requirements for the IPs that will be developed in WP2.

Gap analysis (opens in new window)

State-of-art of all technologies involved in the proposal

External Advisory Board reports (opens in new window)

Description of the advisory board and its actions to support technological TEXTAROSSA activities. It includes a “Lesson learnt'' section.

Initial application benchmarks and results (opens in new window)

This deliverable provides intermediate results of T6.1-T6.3 tasks to present the initial benchmarks of applications and kernels i) adapted to heterogeneous architectures, ii) which exploit mixed-precision and iii) which benefit from dynamic runtime.

Data management plan (opens in new window)

A data management plan will be discussed with all partners and will be implemented in agreement with Open Science directives

Final assessment and guidelines (opens in new window)

This deliverable summarizes adaptation of TEXTAROSSA features (T6.1-T6.3), provides guidelines, recommendations and final evaluation of the project (T6.4).

HLS flow (opens in new window)

This deliverable consists on the final version of Vitis HLS flow, supporting the new HW defined in the project (selected FPGA family and board, mixed precision, inter-FPGA communication) at all the levels (emulation, simulation synthesis). The Vitis HLS flow version will be compliant with the interfaces defined toward the run-time.

Project Website & Social Media (opens in new window)

The deliverable includes website and social media (Facebook, Twitter) accounts managed by the project consortium.

Inter-FPGA Communication SW Stack (opens in new window)

This deliverable consists in the SW stack (kernel device driver and user-space library) needed to configure, control and monitor the Communication IP and to support its integration in the Vitis HLSflow.

Framework for efficient CNNs inference on a TEXTAROSSA node (opens in new window)

This deliverable from T4.6 consists in the solutions to reduce communications for CNNs at the server level and a set of efficient CNN kernels for heterogeneous architectures enhanced with FPGA.

Efficient Memory Management strategies for CNNs at node level (opens in new window)

This deliverable consists of the SW layer implemented into the runtime system to manage CNN applications. This is an intermediate result of Task 4.6.

Mixed precision tool suite (opens in new window)

This deliverable from T4.3 consists of compilers, interfaces, libraries and tools needed to support mixed-precision computing in the node.

Task-based runtime systems (opens in new window)

This deliverable consists in OmpSs and StarPU adapted to TEXTAROSSA node and that support the features implemented in this WP. This is the outcome of tasks 4.2, 4.4 and 4.5.

Risk management plan (opens in new window)

The deliverable describes what actions will be undertaken to reduce project risks at all levels.

Publications

Experiments on Speeding Up the Recursive Fast Fourier Transform by using AVX-512 SIMD instructions (opens in new window)

Author(s): Giacomo Sansone, Marco Cococcioni
Published in: International Conference on Applications in Electronics Pervading Industry, Environment and Society (ApplePies), 2022
Publisher: Springer Nature
DOI: 10.5281/zenodo.7134224

Using High-Level Synthesis to program parallel structures: the FPGA Image Processing Library

Author(s): Palazzari P., Iannone F.
Published in: Special Issue of the International Journal of Parallel Programming, 2024
Publisher: Springer

FPGA implementation of BIKE for quantum-resistant TLS (opens in new window)

Author(s): Galimberti, Andrea; Galli, Davide; Montanaro, Gabriele; Fornaciari, William; Zoni, Davide
Published in: 2022 25th Euromicro Conference on Digital System Design (DSD), Issue 1, 2022, ISBN 978-1-6654-7404-7
Publisher: IEEE
DOI: 10.1109/dsd57027.2022.00078

Ahead-Of-Real-Time (ART): A Methodology for Static Reduction of Worst-Case Execution Time (opens in new window)

Author(s): Cattaneo, Daniele ; Magnani, Gabriele ; Cherubin, Stefano ; Agosta, Giovanni
Published in: Third Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2022), 2022, ISBN 978-3-95977-221-1
Publisher: Schloss Dagstuhl -- Leibniz-Zentrum fur Informatik
DOI: 10.4230/oasics.ng-res.2022.4

Hardware and Software Support for Mixed Precision Computing: a Roadmap for Embedded and HPC Systems (opens in new window)

Author(s): Fornaciari W.; Agosta G.; Cattaneo D.; Denisov L.; Galimberti A.; Magnani G.; Zoni D.
Published in: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), Issue 13, 2023, ISBN 979-8-3503-9624-9
Publisher: IEEE
DOI: 10.23919/date56975.2023.10137092

The Italian research on HPC key technologies across EuroHPC (opens in new window)

Author(s): Aldinucci M.; Agosta G.; Andreini A.; Ardagna C. A.; Bartolini A.; Cilardo A.; Cosenza B.; Danelutto M.; Esposito R.; Fornaciari W.; Giorgi R.; Lengani D.; Montella R.; Olivieri M.; Saponara S.; Simoni D.; Torquati M.
Published in: Proceedings of the 18th ACM International Conference on Computing Frontiers, Issue 17, 2021
Publisher: ACM
DOI: 10.1145/3457388.3458508

FastFlow targeting FPGAs (opens in new window)

Author(s): Marco Danelutto; Gabriele Mencagli; Alberto Ottimo; Francesco Iannone; Paolo Palazzari
Published in: 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2023, Page(s) 104-108
Publisher: IEEE press
DOI: 10.1109/pdp59025.2023.00023

TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale (opens in new window)

Author(s): Giovanni Agosta; Daniele Cattaneo; William Fornaciari; Andrea Galimberti; Giuseppe Massari; Federico Reghenzani; Federico Terraneo; Davide Zoni; Carlo Brandolese; Massimo Celino; F. Iannone; Paolo Palazzari; Giuseppe Zummo; Massimo Bernaschi; Pasqua D'Ambra; Sergio Saponara; Marco Danelutto; Massimo Torquati; Marco Aldinucci; Yasir Arfat; Barbara Cantalupo; Iacopo Colonnelli; Roberto Esposito; Alb
Published in: 2021 24th Euromicro Conference on Digital System Design (DSD), 2021
Publisher: IEEE
DOI: 10.1109/dsd53832.2021.00051

On the use of hardware accelerators in QC-MDPC code-based cryptography (opens in new window)

Author(s): Galimberti, Andrea; Galli, Davide; Montanaro, Gabriele; Fornaciari, William; Zoni, Davide
Published in: Proceedings of the 19th ACM International Conference on Computing Frontiers, Issue 5, 2022, Page(s) 193-194
Publisher: acm
DOI: 10.1145/3528416.3530243

Mixed Precision in Heterogeneous Parallel Computing Platforms via Delayed Code Analysis (opens in new window)

Author(s): Daniele Cattaneo, Alberto Maggioli, Gabriele Magnani, Lev Denisov, Shufan Yang, Giovanni Agosta, Stefano Cherubin
Published in: Embedded Computer Systems: Architectures, Modeling, and Simulation: 23rd International Conference, SAMOS 2023, Issue 1, 2023, Page(s) 469–477, ISBN 978-3-031-46076-0
Publisher: Springer
DOI: 10.1007/978-3-031-46077-7_33

Experimental Results of Vectorized Posit-Based DNNs on a Real ARM SVE High Performance Computing Machine (opens in new window)

Author(s): Marco Cococcioni; Federico Rossi; Emanuele Ruffaldi; Sergio Saponara
Published in: Lecture Notes in Electrical Engineering, 2022, ISBN 978-3-030-95497-0
Publisher: Springer
DOI: 10.5281/zenodo.7128765

Data Distribution Schemes for Dense Linear Algebra Factorizations on Any Number of Nodes (opens in new window)

Author(s): Beaumont, Olivier; Collin, Jean-Alexandre; Eyraud-Dubois, Lionel; Vérité, Mathieu
Published in: Proceedings of the 37th IEEE International Parallel & Distributed Processing Symposium, Issue 6, 2023, ISBN 979-8-3503-3766-2
Publisher: IEEE
DOI: 10.1109/ipdps54959.2023.00047

Task scheduling sensitivity to L1 cache settings on an area-constrained 32-core RISC-V processor

Author(s): Morais, Lucas; Jiménez-González, Daniel; Álvarez, Carlos
Published in: 9th BSC Doctoral Symposium, 2022
Publisher: BSC

Dynamic Tasks Scheduling with Multiple Priorities on Heterogeneous Computing Systems

Author(s): Hayfa Tayeb, Bérenger Bramas, Mathieu Faverge, Abdou Guermouche
Published in: IEEE Heterogeneity in Computing Workshop (HCW’24), IPDPS 2024, 2024
Publisher: IEEE

Hardware-Software Co-Design of BIKE with HLS-Generated Accelerators (opens in new window)

Author(s): Montanaro G.; Galimberti A.; Colizzi E.; Zoni D.
Published in: IEEE International Conference on Electronics, Circuits and Systems (ICECS), Issue 4, 2022, ISBN 978-1-6654-8823-5
Publisher: IEEE
DOI: 10.1109/icecs202256217.2022.9970992

An Evaluation of the State-of-the-Art Software and Hardware Implementations of BIKE (opens in new window)

Author(s): Andrea Galimberti; Gabriele Montanaro; William Fornaciari; Davide Zoni
Published in: 14th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 12th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2023), Issue 6, 2023
Publisher: oasic
DOI: 10.4230/oasics.parma-ditam.2023.4

Robust Learning via Golden Symmetric Loss of (un)Trusted Labels (opens in new window)

Author(s): Amirmasoud Ghiassi, Robert Birke and Lydia Y. Chen
Published in: Cover Image Proceedings of the 2023 SIAM International Conference on Data Mining (SDM), Issue 2023, 2023, ISBN 978-1-61197-765-3
Publisher: SIAM
DOI: 10.1137/1.9781611977653.ch64

New Scheduling Challenges (opens in new window)

Author(s): F. Reghenzani; W. Fornaciari
Published in: ASPDAC '23: Proceedings of the 28th Asia and South Pacific Design Automation Conference, Issue 2, 2023
Publisher: ACM
DOI: 10.1145/3566097.3567851

FPGA Framework Improvements for HPC Applications (opens in new window)

Author(s): Filgueras Izquierdo, Antonio; Vidal, Miquel; Jiménez González, Daniel; Álvarez Martínez, Carlos; Martorell Bofill, Xavier
Published in: 2023 International Conference on Field Programmable Technology (ICFPT), Issue 1, 2024, Page(s) 286-287, ISBN 979-8-3503-5911-4
Publisher: IEEE
DOI: 10.1109/icfpt59805.2023.00048

AMG Preconditioners based on Parallel Hybrid Coarsening and Multi-objective Graph Matching (opens in new window)

Author(s): Pasqua D'Ambra; Fabio Durastante; S M Ferdous; Salvatore Filippone; Mahantesh Halappanavar; Alex Pothen
Published in: 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Napoli, Marzo 2023, Issue 4, 2023, ISBN 979-8-3503-3763-1
Publisher: IEEE
DOI: 10.1109/pdp59025.2023.00017

Dynamic Power Consumption of the Full Posit Processing Unit: Analysis and Experiments (opens in new window)

Author(s): Piccoli, Michele; Zoni, Davide; Fornaciari, William; Massari, Giuseppe; Marco, Cococcioni; Federico, Rossi; Sergio, Saponara; Emanuele, Ruffaldi
Published in: 14th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 12th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2023), Issue 2, 2023
Publisher: oasic
DOI: 10.4230/oasics.parma-ditam.2023.6

A Mixed-Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements (opens in new window)

Author(s): Reghenzani, Federico; Zhishan, Guo; Luca, Santinelli; Fornaciari, William
Published in: 2022 IEEE 28th Real-Time and Embedded Technology and Applications Symposium (RTAS), 2022, Page(s) 27-39, ISBN 978-1-6654-9998-9
Publisher: IEEE
DOI: 10.1109/rtas54340.2022.00011

FSP: a Framework for Data Stream Processing Applications targeting FPGAs (opens in new window)

Author(s): Albeerto Ottimo; Gabriele Mencagli; Marco Danelutto
Published in: Proceedings - 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2023, 2023, Page(s) 92-99
Publisher: IEEE Press
DOI: 10.1109/pdp59025.2023.00021

Improving resource usage in large FPGA accelerators

Author(s): Filgueras Izquierdo, Antonio; Alvarez, Carlos; Jiménez González, Daniel
Published in: 9th BSC Doctoral Symposium, 2022
Publisher: BSC

MulTreePrio: Scheduling task-based applications for heterogeneous computing systems

Author(s): Tayeb, Hayfa; Bramas, Bérenger; Guermouche, Abdou; Faverge, Mathieu
Published in: COMPAS 2022 – Conférence francophone d’informatique en Parallélisme, Architecture et Système, Issue 6, 2022
Publisher: INRIA

The TEXTAROSSA Approach to Thermal Control of Future HPC Systems (opens in new window)

Author(s): William Fornaciari; Federico Terraneo; Giovanni Agosta; Zummo Giuseppe; Luca Saraceno; Giorgia Lancione; Daniele Gregori; Massimo Celino
Published in: Lecture Notes in Computer Science ISBN: 9783031150739, Issue 7, 2022
Publisher: Springer
DOI: 10.1007/978-3-031-15074-6_27

Small Reals Representations for Deep Learning at the Edge: A Comparison (opens in new window)

Author(s): Marco Cococcioni; Federico Rossi; Emanuele Ruffaldi; Sergio Saponara
Published in: Conference on Next Generation Arithmetic CoNGA, Issue 5, 2022, ISBN 9783031097782
Publisher: Springer
DOI: 10.1007/978-3-031-09779-9_8

On the Effectiveness of True Random Number Generators Implemented on FPGAs (opens in new window)

Author(s): Galli, Davide; Galimberti, Andrea; Fornaciari, William; Zoni, Davide
Published in: Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS 2022), Issue 4, 2022, ISBN 9783031150739
Publisher: Springer
DOI: 10.1007/978-3-031-15074-6_20

Improving Performance of HPC Kernels on FPGAs Using High-Level Resource Management (opens in new window)

Author(s): Antonio Filgueras; Miquel Vidal; Daniel Jiménez-González; Carlos Álvarez; Xavier Martorell
Published in: 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2023, ISBN 979-8-3503-1205-8
Publisher: IEEE
DOI: 10.1109/fccm57271.2023.00041

On hardware acceleration of quantum-resistant FOTA systems in automotive (opens in new window)

Author(s): Pericle Perazzo, Stefano Di Matteo, Gianluca Dini, Sergio Saponara
Published in: Computers and Electrical Engineering, Issue 118, 2024, ISSN 0045-7906
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.compeleceng.2024.109327

Progress report on the online processing upgrade at the NA62 experiment (opens in new window)

Author(s): M. Turisini, R. Ammendola, A. Biagioni, A. Ciardiello, P. Cretaro, O. Frezza, G. Lamanna, F. Lo Cicero, A. Lonardo, M. Martinelli, R. Piandani, D. Soldi, P. Vicini
Published in: Journal of Instrumentation, Issue 17480221, 2022, ISSN 1748-0221
Publisher: Institute of Physics
DOI: 10.1088/1748-0221/17/04/c04002

A Survey on Run-time Power Monitors at the Edge (opens in new window)

Author(s): Davide Zoni; Andrea Galimberti; William Fornaciari
Published in: ACM Comput. Surv., Issue 1, 2023, Page(s) 1-33, ISSN 0360-0300
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3593044

A Lightweight Posit Processing Unit for RISC-V Processors in Deep Neural Network Applications (opens in new window)

Author(s): Marco Cococcioni; Federico Rossi; Emanuele Ruffaldi; Sergio Saponara
Published in: IEEE Transactions on Emerging Topics in Computing, Issue 21686750, 2021, ISSN 2168-6750
Publisher: IEEE Computer Society
DOI: 10.1109/tetc.2021.3120538

Cost-effective fixed-point hardware support for RISC-V embedded systems (opens in new window)

Author(s): D. Zoni;A. Galimberti
Published in: Journal of Systems Architecture, Issue 13837621, 2022, ISSN 1383-7621
Publisher: Elsevier BV
DOI: 10.1016/j.sysarc.2022.102476

Parallel Sparse Computation Toolkit (opens in new window)

Author(s): Pasqua D’Ambra, Fabio Durastante, Salvatore Filippone
Published in: Software Impacts, Issue 15, 2023, ISSN 2665-9638
Publisher: Elsevier
DOI: 10.1016/j.simpa.2022.100463

Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach (opens in new window)

Author(s): Giovanni Agosta, Marco Aldinucci, Carlos Alvarez, Roberto Ammendola, Yasir Arfat, Olivier Beaumont, Massimo Bernaschi, Andrea Biagioni, Tommaso Boccali, Berenger Bramas, Carlo Brandolese, Barbara Cantalupo, Mauro Carrozzo, Daniele Cattaneo, Alessandro Celestini, Massimo Celino, Iacopo Colonnelli, Paolo Cretaro, Pasqua D’Ambra, Marco Danelutto, Roberto Esposito, Lionel Eyraud-Dubois, Antonio Filg
Published in: Microprocessors and Microsystems, Issue 95, 2022, ISSN 0141-9331
Publisher: Elsevier BV
DOI: 10.1016/j.micpro.2022.104679

Enabling HW-Based Task Scheduling in Large Multicore Architectures (opens in new window)

Author(s): Lucas Morais; Carlos Álvarez; Daniel Jiménez-González; Juan Miguel de Haro; Guido Araujo; Michael Frank; Alfredo Goldman; Xavier Martorell
Published in: IEEE Transactions on Computers, Issue 18, 2024, Page(s) 138 - 151, ISSN 0018-9340
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tc.2023.3323781

A Multi-GPU Aggregation-Based AMG Preconditioner for Iterative Linear Solvers (opens in new window)

Author(s): Massimo Bernaschi; Alessandro Celestini; Flavio Vella; Pasqua D'Ambra
Published in: IEEE transactions on parallel and distributed systems (Online) 34 (2023): 2365–2376. doi:10.1109/TPDS.2023.3287238, Issue 3, 2023, ISSN 1045-9219
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2023.3287238

TAFFO: The compiler-based precision tuner (opens in new window)

Author(s): Daniele Cattaneo, Michele Chiari, Giovanni Agosta, Stefano Cherubin
Published in: SoftwareX, Issue 20, 2022, ISSN 2352-7110
Publisher: Elsevier BV
DOI: 10.1016/j.softx.2022.101238

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