Marc F. Paterno

Orcid: 0000-0003-0808-8388

According to our database1, Marc F. Paterno authored at least 22 papers between 2003 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Porting Numerical Integration Codes from CUDA to oneAPI: A Case Study.
Proceedings of the High Performance Computing - 38th International Conference, 2023

HEPnOS: a Specialized Data Service for High Energy Physics Analysis.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Efficient GPU Implementation of Automatic Differentiation for Computational Fluid Dynamics.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

2022
A case study on parallel HDF5 dataset concatenation for high energy physics data analysis.
Parallel Comput., 2022

A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis.
CoRR, 2022

m-Cubes: An Efficient and Portable Implementation of Multi-dimensional Integration for GPUs.
Proceedings of the High Performance Computing - 37th International Conference, 2022

2021
PAGANI: A Parallel Adaptive GPU Algorithm for Numerical.
CoRR, 2021

PAGANI: a parallel adaptive GPU algorithm for numerical integration.
Proceedings of the International Conference for High Performance Computing, 2021

2019
HEPCloud, an Elastic Hybrid HEP Facility using an Intelligent Decision Support System.
CoRR, 2019

Sparse Data Management in HDF5.
Proceedings of the 1st IEEE/ACM Annual Workshop on Large-scale Experiment-in-the-Loop Computing, 2019

2018
Methodology for the Rapid Development of Scalable HPC Data Services.
Proceedings of the 3rd IEEE/ACM International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2018

Intelligently-Automated Facilities Expansion with the HEPCloud Decision Engine.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017
Python and HPC for High Energy Physics Data Analyses.
Proceedings of the 7th Workshop on Python for High-Performance and Scientific Computing, 2017

Spark and HPC for High Energy Physics Data Analyses.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016
Exploring the Performance of Spark for a Scientific Use Case.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015
PDACS: A Portal for Data Analysis Services for Cosmological Simulations.
Comput. Sci. Eng., 2015

CosmoSIS: Modular cosmological parameter estimation.
Astron. Comput., 2015

2014
PDACS: a portal for data analysis services for cosmological simulations.
Proceedings of the 9th Gateway Computing Environments Workshop, 2014

2013
Layout-aware scientific computing: A case study using the MILC code.
J. Comput. Sci., 2013

2012
Poster: High-Speed Decision Making on Live Petabyte Data Streams.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

2011
Layout-aware scientific computing: a case study using MILC.
Proceedings of the second workshop on Scalable algorithms for large-scale systems, 2011

2003
Adapting SAM for CDF
CoRR, 2003


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