Livrables
This deliverable reports the first experiences of porting use casestools to the Sage2 system It also reports on potential optimizations by leveraging Sage2 feature sets
Sage2 ecosystem Design DocumentThis report (from multiple tasks) will describe the design for all the Sage2 ecosystem components. This will get its inputs from Tasks 3.1 to 3.4
Best practices in porting and optimizing applications and application tools for Sage2 systemIn this report we will document experience and best practices obtained while porting and optimising applications to and for the Sage2 system including performance assessments It aims to provide practical guidance for future users of the technologies produced within this project
Report on application and use case requirementsThis deliverable provides an analysis of IO requirements of Sage2 use cases and tools together with a data retention plan for each workflow This deliverable also identifies changes in applications and tools for fully using the Sage2 system and also limitations that might provide obstacles to their implementation
System extrapolations to ExascaleThis deliverable will discuss the system extrapolations of the features and benefits of Sage2 for the use cases at scale and quantify the performance improvements in IO time to solution and scalability if there were larger scale deployments representative of the Sage2 prototype Analysis of how the system might actually perform in relation to the originally anticipated performance goals will be provided This deliverable will gather inputs from the use cases in WP1
Publications
Auteurs:
Artur Podobas, Martin Svedin, Steven W. D. Chien, Ivy B. Peng, Naresh Balaji Ravichandran, Pawel Herman, Anders Lansner, and Stefano Markidis
Publié dans:
2021
Éditeur:
ACM
DOI:
10.1145/3468044.3468052
Auteurs:
Ravichandran, Naresh & Lansner, Anders & Herman, Pawel
Publié dans:
Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART '21). Association for Computing Machinery, New York, NY, USA, Article 8, 1–6, 2020
Éditeur:
IEEE
DOI:
10.1109/ijcnn48605.2020.9207061
Auteurs:
Pleiter, Dirk
Publié dans:
24th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2019, Adelaide, Australia, 2019-11-04 - 2019-11-08, Numéro 1, 2019
Éditeur:
CHEP
DOI:
10.5281/zenodo.3599755
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:
Witt, Shaun de; Samaddar, Debby; Narasimhamurthy, Sai; Umanesan, Ganesan; Pleiter, Dirk; El Sayed Mohamed, Salem; Davis, Andrew
Publié dans:
24th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2019, Adelaide, Australia, 2019-11-04 - 2019-11-08, Numéro 1, 2019
Éditeur:
CHEP
Auteurs:
Sergio Rivas-Gomez, Alessandro Fanfarillo, Sai Narasimhamurthy, Stefano Markidis
Publié dans:
Proceedings of the 26th European MPI Users' Group Meeting on - EuroMPI '19, 2019, Page(s) 1-8, ISBN 9781-450371759
Éditeur:
ACM Press
DOI:
10.1145/3343211.3343214
Auteurs:
Sergio Rivas-Gomez, Alessandro Fanfarillo, Sebastien Valat, Christophe Laferriere, Philippe Couvee, Sai Narasimhamurthy, Stefano Markidis
Publié dans:
2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC), 2019, Page(s) 363-372, ISBN 978-1-7281-4535-8
Éditeur:
IEEE
DOI:
10.1109/hipc.2019.00051
Auteurs:
Vaibhav Gogte, University of Michigan; William Wang and Stephan Diestelhorst, ARM; Aasheesh Kolli, Pennsylvania State University and VMware Research; Peter M. Chen, Satish Narayanasamy, and Thomas F. Wenisch, University of Michigan
Publié dans:
17th USENIX Conference on File and Storage Technologies (FAST 19), 2019
Éditeur:
USENIX Association
Auteurs:
William Wang, Stephan Diestelhorst
Publié dans:
The 31st ACM on Symposium on Parallelism in Algorithms and Architectures - SPAA '19, 2019, Page(s) 309-311, ISBN 9781-450361842
Éditeur:
ACM Press
DOI:
10.1145/3323165.3323166
Auteurs:
Vaibhav Gogte, William Wang, Stephan Diestelhorst, Peter M. Chen, Satish Narayanasamy, Thomas F. Wenisch
Publié dans:
ISCA '20: Proceedings of the 47th International Symposium on Computer Architecture, 2020
Éditeur:
Association for Computing Machinery
Auteurs:
Thomas Leibovici, Florent Monjalet
Publié dans:
ISC High Performance 2019 International Workshops, 2019
Éditeur:
Springer
Auteurs:
Atzori, M., Köpp, W., Chien, S.W.D. et al
Publié dans:
The Journal of Supercomputing, 2021
Éditeur:
Springer
DOI:
10.1007/s11227-021-03990-3
Auteurs:
Wei Der Chien, Artur Podobas, Martin Svedin, Andriy Tkachuk, Salem El Sayed, Pawel Herman, Ganesan Umanesan, Sai Narasimhamur thy and Stefano Markidis
Publié dans:
PDP 2022: International Conference on Parallel, Distributed and Network- Based Processing, 2022
Éditeur:
IEEE
Auteurs:
Aasheesh Kolli, Vaibhav Gogte, Ali Saidi, Stephan Diestelhorst, William Wang, Peter M. Chen, Satish Narayanasamy, Thomas F. Wenisch
Publié dans:
IEEE Micro, Numéro 39/3, 2019, Page(s) 94-102, ISSN 0272-1732
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/mm.2019.2910821
Auteurs:
Chien, Steven & Podobas, Artur & Peng, Ivy & Markidis, Stefano
Publié dans:
2020
Éditeur:
IEEE
DOI:
10.1109/cluster49012.2020.00046
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