The Italian research on HPC key technologies across EuroHPC-Reference-Cited by-同舟云学术

The Italian research on HPC key technologies across EuroHPC

Published:2021-05-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th ACM International Conference on Computing Frontiers
language:
Short-container-title:

Author:

Aldinucci Marco¹,Agosta Giovanni²,Andreini Antonio³,Ardagna Claudio A.⁴,Bartolini Andrea⁵,Cilardo Alessandro⁶,Cosenza Biagio⁷,Danelutto Marco⁸,Esposito Roberto¹,Fornaciari William²,Giorgi Roberto⁹,Lengani Davide¹⁰,Montella Raffaele¹¹,Olivieri Mauro¹²,Saponara Sergio⁸,Simoni Daniele¹⁰,Torquati Massimo⁸

Affiliation:

1. University of Torino, Torino, Italy

2. Politecnico di Milano, Milano, Italy

3. University of Florence, Firenze, Italy

4. Università degli Studi di Milano, Milano, Italy

5. Università di Bologna, Bologna, Italy

6. University of Naples Federico II, Napoli, Italy

7. University of Salerno, Salerno, Italy

8. University of Pisa, Pisa, Italy

9. University of Siena, Siena, Italy

10. University of Genova, Genova, Italy

11. University of Naples, Napoli, Italy

12. Sapienza University of Rome, Roma, Italy

Funder

EuroHPC JU

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3457388.3458508

Reference34 articles.

1. 2021. European Processor Initiative. https://www.european-processor-initiative.eu/ 2021. European Processor Initiative. https://www.european-processor-initiative.eu/

2. The RECIPE approach to challenges in deeply heterogeneous high performance systems

3. Giovanni Agosta William Fornaciari Giuseppe Massari Anna Pupykina Federico Reghenzani and Michele Zanella. 2018. Managing heterogeneous resources in hpc systems. In Proceedings of the 9th Workshop and 7th Workshop on Parallel Programming and RunTime Management Techniques for Manycore Architectures and Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM). 7--12. 10.1145/3183767.3183769 Giovanni Agosta William Fornaciari Giuseppe Massari Anna Pupykina Federico Reghenzani and Michele Zanella. 2018. Managing heterogeneous resources in hpc systems. In Proceedings of the 9th Workshop and 7th Workshop on Parallel Programming and RunTime Management Techniques for Manycore Architectures and Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM). 7--12. 10.1145/3183767.3183769

4. Fastflow: High-Level and Efficient Streaming on Multicore

5. Peter Amstutz Michael R Crusoe Nebojša Tijanić Brad Chapman John Chilton Michael Heuer Andrey Kartashov Dan Leehr Hervé Ménager Maya Nedeljkovich etal 2016. Common workflow language v1. 0. (2016). Peter Amstutz Michael R Crusoe Nebojša Tijanić Brad Chapman John Chilton Michael Heuer Andrey Kartashov Dan Leehr Hervé Ménager Maya Nedeljkovich et al. 2016. Common workflow language v1. 0. (2016).

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HyperQueue: Efficient and ergonomic task graphs on HPC clusters;SoftwareX;2024-09

2. A Systematic Mapping Study of Italian Research on Workflows;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

3. Reliability-oriented resource management for High-Performance Computing;Sustainable Computing: Informatics and Systems;2023-09

4. TAFFO: The compiler-based precision tuner;SoftwareX;2022-12

5. Distributed workflows with Jupyter;Future Generation Computer Systems;2022-03