CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.
Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .
Livrables
This report will survey existing available network hardware and software, focusing on a gap analysis between hardware capabilities and programming models and communication library implementations.
Report on dissemination, training, exploitation and standardization activities. (s’ouvre dans une nouvelle fenêtre)This deliverable presents the overall EPiGRAMHS dissemination training exploitation activities and interaction with standardization bodies and collaboration with other European exascale projects and initiatives in the three years of the project
Final design specification and prototype im- plementation report of MPI and GPI extensions for heterogeneous systems with distributed GPUs and FPGAs (s’ouvre dans une nouvelle fenêtre)This report will present the design for MPI RMA operations for distributed GPUs MPI planned collectives on heterogeneous systems and GPI for distributed FPGAs
Best practices document for porting applications to large-scale heterogeneous systems. (s’ouvre dans une nouvelle fenêtre)This report collects experiences about application porting to large-scale heterogeneous systems, describing the difficulties and how these were addressed, and provides best-practices.
Report on final implementation of APIs and runtime system for data placement, migration and access on diverse memories (s’ouvre dans une nouvelle fenêtre)This deliverable describes the implementation of APIs and runtime system for data movement on complex memories and report performance results
Report on dissemination, training, exploitation and standardization activities, and updated plan. (s’ouvre dans une nouvelle fenêtre)This deliverable presents EPiGRAM-HS dissemination, training, exploitation activities, and interaction with standardization bodies and collaboration with other European exascale projects and initiatives in the first year of the project. This deliverable will include an update of the dissemination and exploitation plan.
Design document of GPI-space extension for distributed FPGAs and DSL for deep-learning applications (s’ouvre dans une nouvelle fenêtre)This deliverable presents the initial design of GPI-space extension for distributed FPGAs and DSL for deep-learning applications.
Experiences and best practices on programming emerging transport technologies for data movement. (s’ouvre dans une nouvelle fenêtre)This deliverable collects the experience with new and emerging transport technologies for data movement presenting potential challenges in using them and describing how to address them
Report on current and emerging transport technologies for data movement. (s’ouvre dans une nouvelle fenêtre)This deliverable provides an overview of the current and emerging transport technologies that are relevant to the EPiGRAM-HS software components.
Report on experiences in using MPI and GASPI on systems with low-power microprocessors. (s’ouvre dans une nouvelle fenêtre)This report reports gained using MPI and GASPI using heterogeneous systems with lowpower microprocessors identifying difficulties and proposing possible extensions to MPI and GASPI
Report on EPiGRAM-HS website including vision, plan for updates and website monitoring strategies. (s’ouvre dans une nouvelle fenêtre)Project website will be established to show the work of the project. It will focus on giving a clear message of the project’s achievements and act as a repository of information on EPiGRAM-HS.
Report on state of the art of novel compute elements and gap analysis in MPI and GASPI. (s’ouvre dans une nouvelle fenêtre)This report surveys new emerging low-power microprocessor, focusing on a gap analysis between hardware capabilities and MPI and GASPI programming systems.
Update on Current Landscape for Novel Network Hardware and Programming Models (s’ouvre dans une nouvelle fenêtre)This report will cover additional hardware and software technologies that have become available during the lifetime of the project including a summary of the impact of the outputs generated by this work package
Final design specification and prototype implementation report of APIs and runtime system for data placement, migration and access on diverse memories. (s’ouvre dans une nouvelle fenêtre)This deliverable reports about first implementation of APIs and runtime system and eventually changes to the design documents to overcome implementation issues
Report on dissemination, training, exploitation and standardization activities, and updated plan 2. (s’ouvre dans une nouvelle fenêtre)This deliverable presents EPiGRAMHS dissemination training exploitation activities and interaction with standardization bodies and collaboration with other European exascale projects and initiatives This deliverable will include an update of the dissemination and exploitation plan
Final design specification and prototype implementation report of GPI-Space extension for distributed FPGAS and DSL for deep-learning applications (s’ouvre dans une nouvelle fenêtre)This deliverable presents the initial design of GPI-space extension for distributed FPGAs and DSL for deep-learning applications after initial feedback from applications. In addition, it describes the prototype implementation of the GPU-Space extension and of the DSL.
Integration of EPiGRAM-HS programming environment in applications (s’ouvre dans une nouvelle fenêtre)This report presents the parallel performance of all the EPiGRAMHS software components in applications analyzing scalability and improved achieved with respect with the implementation at the beginning of the project
Report on initial porting of applications to large-scale heterogeneous systems (s’ouvre dans une nouvelle fenêtre)This deliverable reports about the initial effort of porting of application to distributed systems with GPUs and FPGAs. It describes the porting strategy and a testing plan.
Plan for dissemination, training, exploitation and standardization. (s’ouvre dans une nouvelle fenêtre)This deliverable presents the initial dissemination plan including target audiences and activities, training and exploitation plan. In addition, it will present EPiGRAM-HS interaction with the MPI Forum and GASPI Forum.
Report on application requirements and roadmap. (s’ouvre dans une nouvelle fenêtre)This deliverable describes the application requirements for the development of the EPiGRAM-HS programming environment, and it identifies the steps for the application developments for the application porting to large-scale heterogeneous systems. In addition, in this deliverable we select the applications to validate each EPiGRAM-HS programming environment component.
Initial design document of MPI and GPI extensions for heterogeneous systems with distributed GPUs and FPGAs (s’ouvre dans une nouvelle fenêtre)This report will present the design for MPI RMA operations for distributed GPUs, MPI planned collectives on heterogeneous systems and GPI for distributed FPGAs
Report on final implementation of MPI and GPI extensions for heterogeneous systems with distributed GPUs and FPGAs (s’ouvre dans une nouvelle fenêtre)This report will present the design for MPI RMA operations for distributed GPUs MPI planned collectives onheterogeneous systems and GPI for distributed FPGAs
Initial design of memory abstraction device for diverse memories. (s’ouvre dans une nouvelle fenêtre)This deliverable describes the initial design of EPiGRAM-HS memory abstraction device, comprising APIs for simplified and optimized data movement and a runtime system for automatic data placement on diverse memories.
Report on final implementation of GPI-Space extension for distributed FPGAs and DSL for deep-learning applications (s’ouvre dans une nouvelle fenêtre)This report describes the final implementation of GPISSpace extension for FPGAs and a DSL for deeplearning applications
Publications
Auteurs:
Stefano Markidis
Publié dans:
Frontiers in Big Data, Vol 4 (2021), Numéro 5, 2021, ISSN 2624-909X
Éditeur:
Frontiers in Big Data
DOI:
10.3389/fdata.2021.669097
Auteurs:
Jesper Larsson Träff; Sascha Hunold; Guillaume Mercier; Daniel J. Holmes
Publié dans:
Parallel Computing, Numéro 2, 2021, ISSN 0167-8191
Éditeur:
Elsevier BV
DOI:
10.1016/j.parco.2021.102826
Auteurs:
Copik, Marcin; Taranov, Konstantin; Calotoiu, Alexandru; Hoefler, Torsten
Publié dans:
Numéro 10, 2022
Éditeur:
USENIX Annual Technical Conference
Auteurs:
Ivanov, Andrei; Dryden, Nikoli; Ben-Nun, Tal; Li, Shigang; Hoefler, Torsten
Publié dans:
Proceedings of Machine Learning and Systems, Numéro 11, 2021
Éditeur:
SPCL
Auteurs:
Alexandr Nigay; Lukas Mosimann; Timo Schneider; Torsten Hoefler
Publié dans:
EuroMPI, Numéro 10, 2020
Éditeur:
ACM
DOI:
10.1145/3416315.3416317
Auteurs:
Daniele De Sensi, Salvatore Di Girolamo, Saleh Ashkboos, Shigang Li, Torsten Hoefler
Publié dans:
2021
Éditeur:
ACM
DOI:
10.5281/zenodo.4836022
Auteurs:
Xavier Aguilar; Stefano Markidis
Publié dans:
2021 IEEE International Conference on Cluster Computing (CLUSTER), 2021
Éditeur:
IEEE
DOI:
10.1109/cluster48925.2021.00103
Auteurs:
Shigang Li, Torsten Hoefler
Publié dans:
SC '21: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2021
Éditeur:
ACM
DOI:
10.1145/3458817.3476145
Auteurs:
Salvatore Di Girolamo; Andreas Kurth; Alexandru Calotoiu; Thomas Benz; Timo Schneider; Jakub Beranek; Luca Benini; Torsten Hoefler
Publié dans:
2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA), Numéro 9, 2021
Éditeur:
IEEE
DOI:
10.1109/isca52012.2021.00079
Auteurs:
G. Kwasniewski, M. Kabi ́c, T. Ben-Nun, A. Nikolaos Ziogas, J. Eirik
Saethre, A. Gaillard, T. Schneider, M. Besta, A. Kozhevnikov, J. Vande-
Vondele, T. Hoefler
Publié dans:
2021
Éditeur:
ACM
DOI:
10.1145/3458817.3476167
Auteurs:
De Matteis, Tiziano; Licht, Johannes de Fine; Hoefler, Torsten
Publié dans:
SC20: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Numéro 9, 2020
Éditeur:
IEEE
DOI:
10.1109/sc41405.2020.00063
Auteurs:
Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman
Publié dans:
2020
Éditeur:
IEEE
DOI:
10.1109/ijcnn48605.2020.9207061
Auteurs:
Daniel J. Holmes, Anthony Skjellum, Derek Schafer
Publié dans:
EuroMPI, 2020
Éditeur:
ACM
DOI:
10.1145/3416315.3416318
Auteurs:
Artur Podobas, Martin Svedin, Steven W. D. Chien, Ivy B. Peng, Naresh Balaji Ravichandran, Pawel Herman, Anders Lansner, Stefano Markidis
Publié dans:
2021
Éditeur:
ACM
DOI:
10.1145/3468044.3468052
Auteurs:
Martin Svedin, Steven W. D. Chien, Gibson Chikafa, Niclas Jansson, Artur Podobas
Publié dans:
2021
Éditeur:
ACM
DOI:
10.1145/3468044.3468053
Auteurs:
Dykes, T., Foyer, C., Richardson, H., Svedin, M., Podobas, A., Jansson, N., Markidis, S., Tate, A., McIntosh-Smith, S.
Publié dans:
2021
Éditeur:
IEEE
DOI:
10.1109/p3hpc54578.2021.00005
Auteurs:
Niclas Jansson
Publié dans:
2021
Éditeur:
ACM
DOI:
10.1145/3432261.3432265
Auteurs:
Steven W. D. Chien, Stefano Markidis, Chaitanya Prasad Sishtla, Luis Santos, Pawel Herman, Sai Narasimhamurthy, Erwin Laure
Publié dans:
2018 IEEE/ACM 3rd International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISCS), 2018, Page(s) 54-63, ISBN 978-1-7281-0192-7
Éditeur:
IEEE
DOI:
10.1109/PDSW-DISCS.2018.00011
Auteurs:
Steven W. D. Chien, Stefano Markidis, Vyacheslav Olshevsky, Yaroslav Bulatov, Erwin Laure, Jeffrey Vetter
Publié dans:
2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2019, Page(s) 509-518, ISBN 978-1-7281-3510-6
Éditeur:
IEEE
DOI:
10.1109/IPDPSW.2019.00092
Auteurs:
Tiziano De Matteis, Johannes de Fine Licht, Jakub Beránek, Torsten Hoefler
Publié dans:
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2019, Page(s) 1-33, ISBN 9781-450362290
Éditeur:
ACM
DOI:
10.1145/3295500.3356201
Auteurs:
Purushotham V. Bangalore, Rolf Rabenseifner, Daniel J. Holmes, Julien Jaeger, Guillaume Mercier, Claudia Blaas-Schenner, Anthony Skjellum
Publié dans:
Proceedings of the 26th European MPI Users' Group Meeting on - EuroMPI '19, 2019, Page(s) 1-10, ISBN 9781-450371759
Éditeur:
ACM Press
DOI:
10.1145/3343211.3343213
Auteurs:
Steven Chien, Ivy Peng, Stefano Markidis
Publié dans:
2019 IEEE/ACM Workshop on Memory Centric High Performance Computing (MCHPC), 2019, Page(s) 50-57, ISBN 978-1-7281-6007-8
Éditeur:
IEEE
DOI:
10.1109/mchpc49590.2019.00014
Auteurs:
Nathan Hjelm, Howard Pritchard, Samuel K. Gutierrez, Daniel J. Holmes, Ralph Castain, Anthony Skjellum
Publié dans:
2019 IEEE International Conference on Cluster Computing (CLUSTER), 2019, Page(s) 1-11, ISBN 978-1-7281-4734-5
Éditeur:
IEEE
DOI:
10.1109/cluster.2019.8891002
Auteurs:
Steven W. D. Chien, Jonas Nylund, Gabriel Bengtsson, Ivy B. Peng, Artur Podobas, Stefano Markidis
Publié dans:
2020
Éditeur:
IEEE
DOI:
10.1109/sbac-pad49847.2020.00030
Auteurs:
Svedin, Martin; Podobas, Artur; Chien, Steven W. D.; Markidis, Stefano
Publié dans:
2021 IEEE International Conference on Cluster Computing (CLUSTER), Numéro 6, 2021
Éditeur:
IEEEE
DOI:
10.1109/cluster48925.2021.00105
Auteurs:
Markidis, Stefano; Peng, Ivy; Podobas, Artur; Jongsuebchoke, Itthinat; Bengtsson, Gabriel; Herman, Pawel
Publié dans:
Crossref, Numéro 14, 2020
Éditeur:
IEEE
DOI:
10.1109/mlhpcai4s51975.2020.00014
Auteurs:
Jesper Larsson Tr ̈aff, Sascha Hunold, Guillaume Mercier, Daniel J. Holmes
Publié dans:
EuroMPI/USA '20: 27th European MPI Users' Group Meeting, 2020
Éditeur:
ACM
DOI:
10.1145/3416315.3416319
Auteurs:
Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman
Publié dans:
ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2021
Éditeur:
European Symposium on Artificial Neural Networks
DOI:
10.14428/esann/2021.es2021-156
Auteurs:
Oliver Rausch, Tal Ben-Nun, Nikoli Dryden, Andrei Ivanov, Shigang Li, Torsten Hoefler
Publié dans:
2021
Éditeur:
Arxiv
Auteurs:
Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman
Publié dans:
Artificial Neural Networks and Machine Learning – ICANN 2021, 2021
Éditeur:
Springer
DOI:
10.1007/978-3-030-86383-8_13
Auteurs:
Steven W. D. Chien, Ivy B. Peng, Stefano Markidis
Publié dans:
Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part I, Numéro 12043, 2020, Page(s) 301-310, ISBN 978-3-030-43228-7
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-030-43229-4_26
Auteurs:
Chaitanya Prasad Sishtla, Steven W. D. Chien, Vyacheslav Olshevsky, Erwin Laure, Stefano Markidis
Publié dans:
Computational Science – ICCS 2019 - 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part V, Numéro 11540, 2019, Page(s) 612-618, ISBN 978-3-030-22749-4
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-030-22750-0_58
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