Pilot using Independent Local & Open Technologies

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

Refined parallel Programming Interfaces

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

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.

Software and system integration specification and requirements

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

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

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

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

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

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

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

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

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

Data Management Plan

Pubblicazioni

TOP: Towards Open & Predictable Heterogeneous SoCs

Autori: Luca Valente, Francesco Restuccia, Davide Rossi, Ryan Kastner, Luca Benini
Pubblicato in: IEEE Transactions on Computers, Numero 73, 2024, Pagina/e 2678-2692, ISSN 0018-9340
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tc.2024.3441849

Processor simulation as a tool for performance engineering

Autori: Carlos Falquez, Shiting Long, Nam Ho, Estela Suarez, Dirk Pleiter
Pubblicato in: Frontiers in High Performance Computing, Numero 3, 2026, ISSN 2813-7337
Editore: Frontiers Media SA
DOI: 10.3389/fhpcp.2025.1669101

Modeling and Controlling Many-Core HPC Processors: An Alternative to PID and Moving Average Algorithms

Autori: Giovanni Bambini, Alessandro Ottaviano, Christian Conficoni, Andrea Tilli, Luca Benini, Andrea Bartolini
Pubblicato in: ACM Transactions on Autonomous and Adaptive Systems, Numero 21, 2026, Pagina/e 1-32, ISSN 1556-4665
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3694687

A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks

Autori: Angelo Garofalo; Geethan Karunaratne; Francesco Conti; DAVIDE ROSSI; Irem Boybat; GIANMARCO OTTAVI; LUCA BENINI
Pubblicato in: IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Numero 1, 2022, ISSN 2156-3357
Editore: IEEE Circuits and Systems Society
DOI: 10.1109/jetcas.2022.3170152

Scalable Hierarchical Instruction Cache for Ultralow-Power Processors Clusters

Autori: Jie Chen; Igor Loi; Eric Flamand; Giuseppe Tagliavini; Luca Benini; Davide Rossi
Pubblicato in: IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 31 (4), Numero 8, 2023, ISSN 1557-9999
Editore: IEEE
DOI: 10.1109/tvlsi.2022.3228336

Occamy: A 432-Core Dual-Chiplet Dual-HBM2E 768-DP-GFLOP/s RISC-V System for 8-to-64-bit Dense and Sparse Computing in 12-nm FinFET

Autori: Paul Scheffler, Thomas Benz, Viviane Potocnik, Tim Fischer, Luca Colagrande, Nils Wistoff, Yichao Zhang, Luca Bertaccini, Gianmarco Ottavi, Manuel Eggimann, Matheus Cavalcante, Gianna Paulin, Frank K. Gürkaynak, Davide Rossi, Luca Benini
Pubblicato in: IEEE Journal of Solid-State Circuits, Numero 60, 2025, Pagina/e 1324-1338, ISSN 0018-9200
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jssc.2025.3529249

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: Ottaviano, A., Balas, R., Bambini, G. et al
Pubblicato in: International Journal of Parallel Programming, 2024, ISSN 1573-7640
Editore: Springer
DOI: 10.1007/s10766-024-00761-4

Reliability-oriented resource management for High-Performance Computing

Autori: Giuseppe Massari, Miriam Peta, Alessandro Campi, Federico Reghenzani, Federico Terraneo, Giovanni Agosta, William Fornaciari, Sebastian Ciesielski, Michal Kulczewski, Wojciech Piatek
Pubblicato in: Sustainable Computing: Informatics and Systems, Numero 39, 2025, Pagina/e 100873, ISSN 2210-5379
Editore: Elsevier USA
DOI: 10.1016/j.suscom.2023.100873

Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster With 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode

Autori: Gianmarco Ottavi; Angelo Garofalo; Giuseppe Tagliavini; Francesco Conti; Alfio Di Mauro; Luca Benini; Davide Rossi
Pubblicato in: IEEE Transactions on Circuits and Systems I: Regular Papers, 70 (6), Numero 8, 2023, ISSN 1558-0806
Editore: IEEE
DOI: 10.1109/tcsi.2023.3254810

Synergizing OpenMP Paradigms Through Free Agents and nOS-V

Autori: Antoni Navarro, Raúl Peñacoba, Vincent A. Arcila, Rodrigo Arias, David Álvarez, Vicenç Beltran
Pubblicato in: SN Computer Science, Numero 6, 2025, ISSN 2661-8907
Editore: Springer Science and Business Media LLC
DOI: 10.1007/s42979-025-04406-2

Darkside: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training

Autori: Angelo Garofalo; Yvan Tortorella; Matteo Perotti; Luca Valente; Alessandro Nadalini; Luca Benini; Davide Rossi; Francesco Conti
Pubblicato in: IEEE Open Journal of the Solid-State Circuits Society, Numero 1, 2022, ISSN 2644-1349
Editore: IEEE
DOI: 10.1109/ojsscs.2022.3210082

Optimizing Foundation Model Inference on a Many-Tiny-Core Open-Source RISC-V Platform

Autori: Viviane Potocnik, Luca Colagrande, Tim Fischer, Luca Bertaccini, Daniele Jahier Pagliari, Alessio Burrello, Luca Benini
Pubblicato in: IEEE Transactions on Circuits and Systems for Artificial Intelligence, Numero 1, 2024, Pagina/e 37-52, ISSN 2996-6647
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/tcasai.2024.3459412

Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra

Autori: Paul Scheffler; Florian Zaruba; Fabian Schuiki; Torsten Hoefler; Luca Benini
Pubblicato in: IEEE Transactions on Parallel and Distributed Systems, 2023, ISSN 1558-2183
Editore: IEEE
DOI: 10.1109/tpds.2023.3322029

DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors

Autori: Enrico Tabanelli, Giuseppe Tagliavini, Luca Benini
Pubblicato in: ACM Transactions on Embedded Computing Systems, Numero 22, 2025, Pagina/e 1-33, ISSN 1539-9087
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3571133

Inference performance of large language models on a 64-core RISC-V CPU with silicon-enabled vectors

Autori: Adriano Marques Garcia, Giulio Malenza, Robert Birke, Marco Aldinucci
Pubblicato in: Future Generation Computer Systems, Numero 177, 2026, Pagina/e 108242, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2025.108242

Taming Offload Overheads in a Massively Parallel Open-Source RISC-V MPSoC: Analysis and Optimization

Autori: Luca Colagrande, Luca Benini
Pubblicato in: IEEE Transactions on Parallel and Distributed Systems, Numero 36, 2025, Pagina/e 1193-1205, ISSN 1045-9219
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2025.3555718

MPI malleability validation under replayed real-world HPC conditions

Autori: Sergio Iserte, Maël Madon, Georges Da Costa, Jean-Marc Pierson, Antonio J. Peña
Pubblicato in: Future Generation Computer Systems, Numero 178, 2026, Pagina/e 108305, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2025.108305

Fatigue and adherence can challenge the prevailing wisdom on the response to severe epidemic outbreaks

Autori: Piero Manfredi, Marco Laurino, Giulio Pisaneschi, Alberto Landi
Pubblicato in: Journal of the Royal Society Interface, Numero 23, 2026, ISSN 1742-5662
Editore: The Royal Society
DOI: 10.1098/rsif.2025.0287

FlooNoC: A Multi-Tb/s Wide NoC for Heterogeneous AXI4 Traffic

Autori: Tim Fischer, Michael Rogenmoser, Matheus Cavalcante, Frank K. Gürkaynak, Luca Benini
Pubblicato in: IEEE Design & Test, Numero 40, 2023, Pagina/e 7-17, ISSN 2168-2356
Editore: IEEE Computer Society
DOI: 10.1109/mdat.2023.3306720

Edge HPC Architectures for AI-Based Video Surveillance Applications

Autori: Federico Rossi, Sergio Saponara
Pubblicato in: Electronics, Numero 13, 2025, Pagina/e 1757, ISSN 2079-9292
Editore: MDPI AG
DOI: 10.3390/electronics13091757

MiniFloats on RISC-V Cores: ISA Extensions with Mixed-Precision Short Dot Products

Autori: L. Bertaccini, G. Paulin, M. Cavalcante, T. Fischer, S. Mach and L. Benini
Pubblicato in: IEEE Transactions on Emerging Topics in Computing, 2024, ISSN 2168-6750
Editore: IEEE Computer Society
DOI: 10.1109/tetc.2024.3365354

A Robust and Portable All-Digital TRNG Circuit for Extending the Instruction Set Architecture of RISC-V Processors

Autori: Luca Crocetti, Ettore Noccetti, Pietro Nannipieri, Stefano Di Matteo, Ivan Sarno, Sergio Saponara
Pubblicato in: IEEE Access, Numero 13, 2025, Pagina/e 201741-201749, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2025.3638434

Analysis of Model Parallelism for AI Applications on a 64-core RV64 Server CPU

Autori: Giulio Malenza, Adriano Marques Garcia, Robert Birke, Luca Benini, Marco Aldinucci
Pubblicato in: International Journal of Parallel Programming, Numero 53, 2025, ISSN 0885-7458
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10766-025-00802-6

FlooNoC: A Multi-Tb/s Wide NoC for Heterogeneous AXI4 Traffic

Autori: Tim Fischer; Michael Rogenmoser; Matheus Cavalcante; Frank K. Gürkaynak; Luca Benini
Pubblicato in: IEEE Design&Test, 2023, ISSN 2168-2364
Editore: IEEE
DOI: 10.3929/ethz-b-000638546

FlooNoC: A 645-Gb/s/link 0.15-pJ/B/hop Open-Source NoC With Wide Physical Links and End-to-End AXI4 Parallel Multistream Support

Autori: Tim Fischer, Michael Rogenmoser, Thomas Benz, Frank K. Gürkaynak, Luca Benini
Pubblicato in: IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Numero 33, 2025, Pagina/e 1094-1107, ISSN 1063-8210
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvlsi.2025.3527225

A High-performance, Energy-efficient Modular DMA Engine Architecture

Autori: Benz, Thomas, Rogenmoser, Michael, Scheffler, Paul, Riedel, Samuel, Ottaviano, Alessandro, Kurth, Andreas, Hoefler, Torsten, Benini, Luca
Pubblicato in: IEEE Transactions on Computers, 2024, ISSN 1557-9956
Editore: IEEE
DOI: 10.1109/tc.2023.3329930

Meet Monte Cimone: exploring RISC-V high performance compute clusters

Autori: 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
Pubblicato in: 2022
Editore: ACM
DOI: 10.1145/3528416.3530869

ControlPULP: A RISC-V Power Controller for HPC Processors with Parallel Control-Law Computation Acceleration

Autori: Alessandro Ottaviano, Robert Balas, Giovanni Bambini, Antonio del Vecchio, Maicol Ciani, Davide Rossi, Luca Benini, Andrea Bartolini
Pubblicato in: Embedded Computer Systems: Architectures, Modeling, and Simulation - Lecture Notes in Computer Science (SAMOS22), 2022, Pagina/e 120-135, ISBN 978-3-031-15073-9
Editore: Springer
DOI: 10.1007/978-3-031-15074-6_8

A Priori Loop Nest Normalization: Automatic Loop Scheduling in Complex Applications

Autori: Lukas Trümper, Philipp Schaad, Berke Ates, Alexandru Calotoiu, Marcin Copik, Torsten Hoefler
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization, 2025, Pagina/e 418-430
Editore: ACM
DOI: 10.1145/3696443.3708951

Distributed Edge Inference: an Experimental Study on Multiview Detection

Autori: Gianluca Mittone, Giulio Malenza, Marco Aldinucci, Robert Birke
Pubblicato in: Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2025, Pagina/e 1-6
Editore: ACM
DOI: 10.1145/3603166.3632561

STen: An Interface for Efficient Sparsity in PyTorch

Autori: A. Ivanov, N. Dryden, T. Hoefler
Pubblicato in: Sparsity in Neural Networks workshop 2022, 2022
Editore: ETH Zurich, Scalable Parallel Computing Laboratory
DOI: 10.48550/arxiv.2304.07613

Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning

Autori: 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
Pubblicato in: 2023
Editore: ACM
DOI: 10.48550/arxiv.2302.07946

Bridging the Gap Between Genericity and Programmability of Dynamic Resources in HPC

Autori: Dominik Huber, Sergio Iserte, Martin Schreiber, Antonio J. Peña, Martin Schulz
Pubblicato in: ISC High Performance 2025 Research Paper Proceedings (40th International Conference), 2025, Pagina/e 1-11
Editore: IEEE
DOI: 10.23919/isc.2025.11018304

Benchmarking Federated Learning Frameworks for Medical Imaging Tasks

Autori: Fonio, S.
Pubblicato in: Image Analysis and Processing - ICIAP 2023 Workshops. ICIAP 2023. Lecture Notes in Computer Science, 2024, ISBN 978-3-031-51026-7
Editore: Springer Nature
DOI: 10.1007/978-3-031-51026-7_20

The Italian research on HPC key technologies across EuroHPC

Autori: 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
Pubblicato in: 2021
Editore: ACM
DOI: 10.1145/3457388.3458508

I/O-Optimal Cache-Oblivious Sparse Matrix-Sparse Matrix Multiplication

Autori: Niels Gleinig, Maciej Besta, Torsten Hoefler
Pubblicato in: 36th IEEE Interational Parallel and Distributed Processing Symposium, 2022, ISBN 978-1-6654-8106-9
Editore: 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

The Red-Blue Pebble Game on Trees and DAGs with Large Input

Autori: Niels Gleinig, Torsten Hoefler
Pubblicato in: Structural Information and Communication Complexity. SIROCCO 2022, Lecture Notes in Computer Science, 2022, Pagina/e 135-153, ISBN 978-3-031-09992-2
Editore: Springer, Cham
DOI: 10.1007/978-3-031-09993-9_8

Specialization meets Flexibility: a Heterogeneous Architecture for High-Efficiency, High-flexibility AR/VR Processing

Autori: Arpan Suravi Prasad; Luca Benini; Francesco Conti
Pubblicato in: 2023 60th ACM/IEEE Design Automation Conference (DAC), 2023, ISBN 979-8-3503-2348-1
Editore: IEEE
DOI: 10.1109/dac56929.2023.10247945

Lifting C Semantics for Dataflow Optimization

Autori: Alexandru Calotoiu, Tal Ben-Nun,Grzegorz Kwasniewski, Johannes de Fine Licht, Timo Schneider, Philipp Schaad, Torsten Hoefler
Pubblicato in: ICS '22: Proceedings of the 36th ACM International Conference on Supercomputing, 2022
Editore: ICS '22: Proceedings of the 36th ACM International Conference on Supercomputing
DOI: 10.1145/3524059.3532389

RIVETS: an efficient training and inference library for RISC-V with snitch extensions

Autori: Ivanov, Andrei, Timo Schneider, Luca Benini, and Torsten Hoefler
Pubblicato in: 2023
Editore: RISC-V Summit Europe, Barcelona

A Federated Learning Benchmark for Drug-Target Interaction

Autori: Gianluca Mittone; Filip Svoboda; Marco Aldinucci; Nicholas Lane; Pietro Lió
Pubblicato in: In Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion), 2023, ISBN 978-1-4503-9419-2
Editore: ACM DL
DOI: 10.1145/3543873.3587687

Enhanced LPDDR4X PHY in 12 nm FinFET

Autori: Johannes Feldmann, Jan Lappas, Mohammadreza Esmaeilpour, Hussien Abdo, Christian Weis, Norbert Wehn
Pubblicato in: 2025
Editore: Cornell University (arXiv)
DOI: 10.48550/arxiv.2503.11654

Dual-Issue Execution of Mixed Integer and Floating-Point Workloads on Energy-Efficient In-Order RISC-V Cores

Autori: Luca Colagrande, Luca Benini
Pubblicato in: 2025 62nd ACM/IEEE Design Automation Conference (DAC), 2025, Pagina/e 1-7
Editore: IEEE
DOI: 10.1109/dac63849.2025.11132520

MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V Cores

Autori: Bertaccini, Luca; Paulin, Gianna; Fischer, Tim; Mach, Stefan; Benini, Luca
Pubblicato in: 2022 IEEE 29th Symposium on Computer Arithmetic (ARITH), Numero 5, 2022
Editore: IEEE
DOI: 10.1109/arith54963.2022.00010

SARIS: Accelerating Stencil Computations on Energy-Efficient RISC-V Compute Clusters with Indirect Stream Registers

Autori: Paul Scheffler, Luca Colagrande, Luca Benini
Pubblicato in: Proceedings of the 61st ACM/IEEE Design Automation Conference, 2025, Pagina/e 1-6
Editore: ACM
DOI: 10.1145/3649329.3658494

OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNIC

Autori: Khalilov, M., Chrapek, M., Shen, S., Vezzu, A., Benz, T., Di Girolamo, S., ... & Hoefler, T.
Pubblicato in: 2024, Pagina/e 247-263
Editore: USENIX ATC

Dallmi: Domain adaption for llm-based multi-label classifier

Autori: M. Betianu, A. Malan, M. Aldinucci, R. Birke, and L. Y. Chen
Pubblicato 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
Editore: Springer
DOI: 10.1007/978-981-97-2259-4_21

Model-Agnostic Federated Learning

Autori: Gianluca Mittone; Walter Riviera; Iacopo Colonnelli; Robert Birke; Marco Aldinucci
Pubblicato in: Euro-Par 2023: Parallel Processing, Lecture Notes in Computer Science, Numero 3, 2023, Pagina/e 383-396, ISBN 978-3-031-39698-4
Editore: Springer Nature
DOI: 10.1007/978-3-031-39698-4_26

Federated Learning meets HPC and cloud

Autori: Iacopo Colonnelli, Bruno Casella, Gianluca Mittone, Yasir Arfat, Barbara Cantalupo, Roberto Esposito, Alberto Riccardo Martinelli, Doriana Medic, Marco Aldinucci
Pubblicato in: 2022, Pagina/e 193-199, ISBN 978-3-031-34167-0
Editore: Springer
DOI: 10.1007/978-3-031-34167-0_39

AXI-Pack: Near-Memory Bus Packing for Bandwidth-Efficient Irregular Workloads

Autori: Chi Zhang; Paul Scheffler; Thomas Benz; Matteo Perotti; Luca Benini
Pubblicato in: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023, ISBN 979-8-3503-9624-9
Editore: IEEE
DOI: 10.23919/date56975.2023.10137243

Benchmarking FedAvg and FedCurv for Image Classification Tasks

Autori: Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci
Pubblicato in: The 1st Italian Conference on Big Data and Data Science, 2022, Pagina/e 99-100
Editore: CEUR-WS
DOI: 10.48550/arxiv.2303.17942

Efficient Quantized Sparse Matrix Operations on Tensor Cores

Autori: Shigang Li; Kazuki Osawa; Torsten Hoefler
Pubblicato in: SC '22: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, 2022, Pagina/e 1-15, ISBN 978-1-6654-5444-5
Editore: IEEE
DOI: 10.1109/sc41404.2022.00042

Exploring and Exploiting Data-Free Model Stealing

Autori: Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen
Pubblicato in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023, 2023, Pagina/e 20-35, ISBN 978-3-031-43424-2
Editore: Springer Nature
DOI: 10.1007/978-3-031-43424-2_2

ILAN: The Interference- and Locality-Aware NUMA Scheduler

Autori: Edvin Mellberg, Axel Carlsson, Jing Chen, Miquel Pericàs
Pubblicato in: Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2026, Pagina/e 1544-1553
Editore: ACM
DOI: 10.1145/3731599.3767701

Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent

Autori: Mirko Polato; Roberto Esposito; Marco Aldinucci
Pubblicato in: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2022), 2022, Pagina/e 1-10, ISBN 978-1-7281-8671-9
Editore: IEEE
DOI: 10.1109/ijcnn55064.2022.9892284

Efficient Direct Convolution Using Long SIMD Instructions

Autori: Alexandre de Limas Santana; Adrià Armejach; Marc Casas
Pubblicato in: PPoPP '23: Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023, Pagina/e 342-353, ISBN 979-84-00-70015-6
Editore: ACM DL
DOI: 10.1145/3572848.3577435

Fast Arbitrary Precision Floating Point on FPGA

Autori: Johannes de Fine Licht, Christopher A. Pattison, Alexandros Nikolaos Ziogas, David Simmons-Duffin, Torsten Hoefler
Pubblicato in: 2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2022
Editore: 2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)
DOI: 10.1109/fccm53951.2022.9786219

RapidChiplet: A Toolchain for Rapid Design Space Exploration of Inter-Chiplet Interconnects

Autori: Patrick Iff, Benigna Bruggmann, Blaise Morel, Maciej Besta, Luca Benini, Torsten Hoefler
Pubblicato in: Proceedings of the 22nd ACM International Conference on Computing Frontiers, 2025, Pagina/e 168-171
Editore: ACM
DOI: 10.1145/3719276.3725170

CNN and RVV Co-design for Efficient Model Serving

Autori: Sonia Rani Gupta, Nikela Papadopoulou, Jing Chen, Miquel Pericàs
Pubblicato in: Proceedings of the 19th ACM International Conference on Distributed and Event-based Systems, 2025, Pagina/e 243-244
Editore: ACM
DOI: 10.1145/3701717.3733226

Arax: A Runtime Framework for Decoupling Applications from Heterogeneous Accelerators

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Pubblicato in: SoCC '22: Proceedings of the 13th Symposium on Cloud Computing, 2022, ISBN 978-1-4503-9414-7
Editore: Association for Computing Machinery
DOI: 10.1145/3542929.3563467

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Pubblicato in: 2025, Pagina/e 1-11
Editore: IEEE

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Pubblicato in: Proceedings of the 39th ACM International Conference on Supercomputing, 2025, Pagina/e 1005-1019
Editore: ACM
DOI: 10.1145/3721145.3734530

A Data-Centric Optimization Framework for Machine Learning

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Pubblicato in: ICS '22: Proceedings of the 36th ACM International Conference on Supercomputing, 2022, ISBN 978-1-4503-9281-5
Editore: Association for Computing Machinery
DOI: 10.1145/3524059.3532364

Towards Zero-Stall Matrix Multiplication on Energy-Efficient RISC-V Clusters for Machine Learning Acceleration

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Pubblicato in: 2025 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2025, Pagina/e 1-7
Editore: IEEE
DOI: 10.1109/islped65674.2025.11261759

PerfDojo: Automated ML Library Generation for Heterogeneous Architectures

Autori: Andrei Ivanov, Siyuan Shen, Gioele Gottardo, Marcin Chrapek, Afif Boudaoud, Timo Schneider, Luca Benini, Torsten Hoefler
Pubblicato in: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2026, Pagina/e 137-151
Editore: ACM
DOI: 10.1145/3712285.3759900

Efficiently Distributed Federated Learning

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Pubblicato in: Lecture Notes in Computer Science, Euro-Par 2023: Parallel Processing Workshops, 2025, Pagina/e 321-326
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-48803-0_40

Programmatically Reaching the Roof: Automated BLIS Kernel Generator for SVE and RVV

Autori: Stepan Nassyr, Kaveh Haghighi Mood, Andreas Herten
Pubblicato in: 2024
Editore: Jülich Supercomputing Center (JSC)
DOI: 10.34734/fzj-2023-03437

Mastering power control in HPC CPUs: a journey through modeling, algorithms, and hardware insights

Autori: Bambini, Giovanni
Pubblicato in: 2025
Editore: University of Bologna
DOI: 10.48676/unibo/amsdottorato/12181

Compressed Real Numbers for Ai Computing on Vectorized Risc-V Cpu

Autori: Federico Rossi, Marco Cococcioni, Roger Ferrer Ibanez, Jesus Labarta, Filippo Mantovani, Marc Casas, Emanuele Ruffaldi, Sergio Saponara
Pubblicato in: 2024
Editore: Elsevier BV
DOI: 10.2139/ssrn.4778901

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