Deliverables
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 specificationsD71 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 platformD61 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 PlanD21 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 GuidelinesD9.1. 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.
Publications
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):
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):
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):
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):
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):
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):
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):
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):
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
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