Alessandro D'Anca

Orcid: 0000-0002-0372-2530

According to our database1, Alessandro D'Anca authored at least 14 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
PyOphidia: A Python library for High Performance Data Analytics at scale.
SoftwareX, December, 2023

End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022
Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence.
Future Gener. Comput. Syst., 2022

2019
Towards High Performance Data Analytics for Climate Change.
Proceedings of the High Performance Computing, 2019

2018
Towards an Open (Data) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Big Data Analytics on Large-Scale Scientific Datasets in the INDIGO-DataCloud Project.
Proceedings of the Computing Frontiers Conference, 2017

On the Use of In-Memory Analytics Workflows to Compute eScience Indicators from Large Climate Datasets.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016
An in-memory based framework for scientific data analytics.
Proceedings of the ACM International Conference on Computing Frontiers, CF'16, 2016

Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
A workflow-enabled big data analytics software stack for escience.
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015

Big data analytics for climate change and biodiversity in the EUBrazilCC federated cloud infrastructure.
Proceedings of the 12th ACM International Conference on Computing Frontiers, 2015

2014
Ophidia: A full software stack for scientific data analytics.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014

2013
Ophidia: Toward Big Data Analytics for eScience.
Proceedings of the International Conference on Computational Science, 2013

A big data analytics framework for scientific data management.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013


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