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Pilot using Independent Local & Open Technologies

Rezultaty

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

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
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.

Publikacje

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

Autorzy: 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
Opublikowane w: 2022
Wydawca: ACM
DOI: 10.1145/3528416.3530869

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

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

STen: An Interface for Efficient Sparsity in PyTorch

Autorzy: A. Ivanov, N. Dryden, T. Hoefler
Opublikowane w: Sparsity in Neural Networks workshop 2022, 2022
Wydawca: ETH Zurich, Scalable Parallel Computing Laboratory
DOI: 10.48550/arxiv.2304.07613

Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning

Autorzy: 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
Opublikowane w: 2023
Wydawca: ACM
DOI: 10.48550/arxiv.2302.07946

Benchmarking Federated Learning Frameworks for Medical Imaging Tasks

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

The Italian research on HPC key technologies across EuroHPC

Autorzy: 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
Opublikowane w: 2021
Wydawca: ACM
DOI: 10.1145/3457388.3458508

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

Autorzy: Niels Gleinig, Maciej Besta, Torsten Hoefler
Opublikowane w: 36th IEEE Interational Parallel and Distributed Processing Symposium, 2022, ISBN 978-1-6654-8106-9
Wydawca: 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

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

Autorzy: Niels Gleinig, Torsten Hoefler
Opublikowane w: Structural Information and Communication Complexity. SIROCCO 2022, Lecture Notes in Computer Science, 2022, Strona(/y) 135-153, ISBN 978-3-031-09992-2
Wydawca: 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

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

Lifting C Semantics for Dataflow Optimization

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

A Federated Learning Benchmark for Drug-Target Interaction

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

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

Autorzy: Bertaccini, Luca; Paulin, Gianna; Fischer, Tim; Mach, Stefan; Benini, Luca
Opublikowane w: 2022 IEEE 29th Symposium on Computer Arithmetic (ARITH), Numer 5, 2022
Wydawca: IEEE
DOI: 10.1109/arith54963.2022.00010

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

Autorzy: M. Betianu, A. Malan, M. Aldinucci, R. Birke, and L. Y. Chen
Opublikowane w: 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
Wydawca: Springer
DOI: 10.1007/978-981-97-2259-4_21

Model-Agnostic Federated Learning

Autorzy: Gianluca Mittone; Walter Riviera; Iacopo Colonnelli; Robert Birke; Marco Aldinucci
Opublikowane w: Euro-Par 2023: Parallel Processing, Lecture Notes in Computer Science, Numer 3, 2023, Strona(/y) 383-396, ISBN 978-3-031-39698-4
Wydawca: Springer Nature
DOI: 10.1007/978-3-031-39698-4_26

Federated Learning meets HPC and cloud

Autorzy: Iacopo Colonnelli, Bruno Casella, Gianluca Mittone, Yasir Arfat, Barbara Cantalupo, Roberto Esposito, Alberto Riccardo Martinelli, Doriana Medic, Marco Aldinucci
Opublikowane w: 2022, Strona(/y) 193-199, ISBN 978-3-031-34167-0
Wydawca: Springer
DOI: 10.1007/978-3-031-34167-0_39

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

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

Benchmarking FedAvg and FedCurv for Image Classification Tasks

Autorzy: Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci
Opublikowane w: The 1st Italian Conference on Big Data and Data Science, 2022, Strona(/y) 99-100
Wydawca: CEUR-WS
DOI: 10.48550/arxiv.2303.17942

Efficient Quantized Sparse Matrix Operations on Tensor Cores

Autorzy: Shigang Li; Kazuki Osawa; Torsten Hoefler
Opublikowane w: SC '22: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, 2022, Strona(/y) 1-15, ISBN 978-1-6654-5444-5
Wydawca: IEEE
DOI: 10.1109/sc41404.2022.00042

Exploring and Exploiting Data-Free Model Stealing

Autorzy: Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen
Opublikowane w: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023, 2023, Strona(/y) 20-35, ISBN 978-3-031-43424-2
Wydawca: Springer Nature
DOI: 10.1007/978-3-031-43424-2_2

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

Autorzy: Mirko Polato; Roberto Esposito; Marco Aldinucci
Opublikowane w: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2022), 2022, Strona(/y) 1-10, ISBN 978-1-7281-8671-9
Wydawca: IEEE
DOI: 10.1109/ijcnn55064.2022.9892284

Efficient Direct Convolution Using Long SIMD Instructions

Autorzy: Alexandre de Limas Santana; Adrià Armejach; Marc Casas
Opublikowane w: PPoPP '23: Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023, Strona(/y) 342-353, ISBN 979-84-00-70015-6
Wydawca: ACM DL
DOI: 10.1145/3572848.3577435

Fast Arbitrary Precision Floating Point on FPGA

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

Arax: A Runtime Framework for Decoupling Applications from Heterogeneous Accelerators

Autorzy: Manos Pavlidakis, Stelios Mavridis, Antony Chazapis, Giorgos Vasiliadis, and Angelos Bilas.
Opublikowane w: SoCC '22: Proceedings of the 13th Symposium on Cloud Computing, 2022, ISBN 978-1-4503-9414-7
Wydawca: Association for Computing Machinery
DOI: 10.1145/3542929.3563467

A Data-Centric Optimization Framework for Machine Learning

Autorzy: Oliver Rausch, Tal Ben-Nun, Nikoli Dryden, Andrei Ivanov, Shigang Li, Torsten Hoefler
Opublikowane w: ICS '22: Proceedings of the 36th ACM International Conference on Supercomputing, 2022, ISBN 978-1-4503-9281-5
Wydawca: Association for Computing Machinery
DOI: 10.1145/3524059.3532364

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

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

Scalable Hierarchical Instruction Cache for Ultralow-Power Processors Clusters

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

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

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

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

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

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

Autorzy: Angelo Garofalo; Yvan Tortorella; Matteo Perotti; Luca Valente; Alessandro Nadalini; Luca Benini; Davide Rossi; Francesco Conti
Opublikowane w: IEEE Open Journal of the Solid-State Circuits Society, Numer 1, 2022, ISSN 2644-1349
Wydawca: IEEE
DOI: 10.1109/ojsscs.2022.3210082

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

Autorzy: Paul Scheffler; Florian Zaruba; Fabian Schuiki; Torsten Hoefler; Luca Benini
Opublikowane w: IEEE Transactions on Parallel and Distributed Systems, 2023, ISSN 1558-2183
Wydawca: IEEE
DOI: 10.1109/tpds.2023.3322029

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

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

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

Autorzy: Tim Fischer; Michael Rogenmoser; Matheus Cavalcante; Frank K. Gürkaynak; Luca Benini
Opublikowane w: IEEE Design&Test, 2023, ISSN 2168-2364
Wydawca: IEEE
DOI: 10.3929/ethz-b-000638546

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

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

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

Autorzy: Stepan Nassyr, Kaveh Haghighi Mood, Andreas Herten
Opublikowane w: 2024
Wydawca: Jülich Supercomputing Center (JSC)
DOI: 10.34734/fzj-2023-03437

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