Talks | Parallel Computing
2024
Marco Aldinucci
From HPC4AI to Software & Integration living lab to innovation Miscellaneous
HPC as an enabling platform for AI event, 2024.
Abstract | Links | BibTeX | Tags: ai, HPC, icsc
@misc{24:ma:hpcai:talk,
title = {From HPC4AI to Software & Integration living lab to innovation},
author = {Marco Aldinucci},
url = {https://datacloud.di.unito.it/index.php/s/3SS3Xa9XorN6D9o},
year = {2024},
date = {2024-06-01},
address = {Torino, Italy},
abstract = {The talk presents the motivation and the activity of the "Software and Integration" lab at UNITO.},
howpublished = {HPC as an enabling platform for AI event},
keywords = {ai, HPC, icsc},
pubstate = {published},
tppubtype = {misc}
}
The talk presents the motivation and the activity of the "Software and Integration" lab at UNITO.
Marco Aldinucci
Software & Integration lab of FutureHPC spoke Miscellaneous
HPC as an enabling platform for AI event, 2024.
Abstract | Links | BibTeX | Tags: ai, HPC, icsc
@misc{24:ma:swi:lab,
title = {Software & Integration lab of FutureHPC spoke},
author = {Marco Aldinucci},
url = {https://datacloud.di.unito.it/index.php/s/WDjyXCGyYFJDQSd},
year = {2024},
date = {2024-06-01},
address = {Torino, Italy},
abstract = {The presentation describes the main the activity of the "Software and Integration" lab at UNITO across its main flagship codes.},
howpublished = {HPC as an enabling platform for AI event},
keywords = {ai, HPC, icsc},
pubstate = {published},
tppubtype = {misc}
}
The presentation describes the main the activity of the "Software and Integration" lab at UNITO across its main flagship codes.
Giulio Malenza, Marco Edoardo Santimaria
Benchmarking Parallelization Models through Karmarkar`s algorithm Miscellaneous
2024.
Abstract | Links | BibTeX | Tags: HPC, icsc
@misc{24:pdp:karmarkartalk,
title = {Benchmarking Parallelization Models through Karmarkar`s algorithm},
author = {Giulio Malenza and Marco Edoardo Santimaria},
url = {https://datacloud.di.unito.it/index.php/s/JjKcAJpYS7ctX9r},
year = {2024},
date = {2024-03-01},
address = {Dublin, Irelans},
abstract = {Optimization problems are one of the main focus of scientific research. Their computational-intensive nature makes them prone to be parallelized with consistent improvements in performance. This paper sheds light on different parallel models for accelerating Karmarkar’s Interior-point method. To do so, we assess parallelization strategies for individual operations within the aforementioned Karmarkar’s algorithm using OpenMP, GPU acceleration with CUDA, and the recent Parallel Standard C++ Linear Algebra library (PSTL) executing both on GPU and CPU. Our different implementations yield interesting benchmark results that show the optimal approach for parallelizing interior point algorithms for general Linear Programming (LP) problems. In addition, we propose a more theoretical perspective of the parallelization of this algorithm, with a detailed study of our OpenMP implementation, showing the limits of optimizing the single operations},
keywords = {HPC, icsc},
pubstate = {published},
tppubtype = {misc}
}
Optimization problems are one of the main focus of scientific research. Their computational-intensive nature makes them prone to be parallelized with consistent improvements in performance. This paper sheds light on different parallel models for accelerating Karmarkar’s Interior-point method. To do so, we assess parallelization strategies for individual operations within the aforementioned Karmarkar’s algorithm using OpenMP, GPU acceleration with CUDA, and the recent Parallel Standard C++ Linear Algebra library (PSTL) executing both on GPU and CPU. Our different implementations yield interesting benchmark results that show the optimal approach for parallelizing interior point algorithms for general Linear Programming (LP) problems. In addition, we propose a more theoretical perspective of the parallelization of this algorithm, with a detailed study of our OpenMP implementation, showing the limits of optimizing the single operations
2023
Iacopo Colonnelli, Robert Birke, Giulio Malenza, Gianluca Mittone, Alberto Mulone, Marco Aldinucci, Valerio Basile, Marco Antonio Stranisci, Viviana Patti, Jeroen Galjaard, Lydia Y. Chen, Sanzio Bassini, Massimiliano Guarrasi, Gabriella Scipione, Jan Martinovič, Vit Vondrák
Cross-Facility Federated Learning Miscellaneous
1st EuroHPC User Day, 2023.
Links | BibTeX | Tags: across, ai, eupex, eupilot, HPC
@misc{23:eurohpc,
title = {Cross-Facility Federated Learning},
author = {Iacopo Colonnelli and Robert Birke and Giulio Malenza and Gianluca Mittone and Alberto Mulone and Marco Aldinucci and Valerio Basile and Marco Antonio Stranisci and Viviana Patti and Jeroen Galjaard and Lydia Y. Chen and Sanzio Bassini and Massimiliano Guarrasi and Gabriella Scipione and Jan Martinovič and Vit Vondrák},
url = {https://datacloud.di.unito.it/index.php/s/DDAz4QkJP3WZ68M},
year = {2023},
date = {2023-12-01},
address = {Bruxelles, Belgium},
howpublished = {1st EuroHPC User Day},
keywords = {across, ai, eupex, eupilot, HPC},
pubstate = {published},
tppubtype = {misc}
}