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Alessandro Rigazzi
Observed name:
Rigazzi, Alessandro
Institution:
Hewlett Packard Enterprise (United States)
Observed institutions:
Argonne National Laboratory,
ETH Zurich,
Hewlett Packard Enterprise (United States),
Cray (United States),
Università della Svizzera italiana
ORCID:
0000-0003-2132-7726
Observed ORCID:
0000-0003-2132-7726
OpenAlex ID:
A5076174102
Using Machine Learning at scale in numerical simulations with SmartSim: An application to ocean climate modeling
2022
·
Sam Partee
, Matthew Ellis
, et al.
·
Journal of Computational Science
·
114
PDF
The boundary for quantum advantage in Gaussian boson sampling
2022
·
Jacob F. F. Bulmer
, Bryn A. Bell
, et al.
·
Science Advances
·
105
Time-Dependent Visualization of Lagrangian Coherent Structures by Grid Advection
2010
·
Filip Sadlo
, Alessandro Rigazzi
, et al.
·
Mathematics and visualization
·
47
Combining machine learning with computational fluid dynamics using OpenFOAM and SmartSim
2024
·
Tomislav Maric
, Mohammed Elwardi Fadeli
, et al.
·
Meccanica
·
17
PDF
In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD
2023
·
Balin, Riccardo
, Simini, Filippo
, et al.
·
arXiv (Cornell University)
·
14
PDF
MOM6 Input dataset for SmartSim ML EKE Experiment
2021
·
Partee, Sam
, Ellis, Matthew
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
·
5
Recombination of Artificial Neural Networks
2019
·
Vose, Aaron
, Balma, Jacob
, et al.
·
arXiv (Cornell University)
·
5
PDF
A parallel multigrid method for constrained minimization problems and its application to friction, contact, and obstacle problems
2016
·
Rolf Krause
, Alessandro Rigazzi
, et al.
·
Computing and Visualization in Science
·
3
Evaluating AMD Instinct™ MI300A APU: Performance Insights on LLM Training via Knowledge Distillation
2025
·
Dennis Dickmann
, Philipp Offenhäuser
, et al.
·
Cray User Group Conference (CUG)
·
1
PDF
A cubical plaquette calculus for the su ( 3 ) octet
2026
·
Alessandro Rigazzi
·
European Journal of Physics
PDF
DC-S3GD: Delay-Compensated Stale-Synchronous SGD for Large-Scale Decentralized Neural Network Training
2019
·
Alessandro Rigazzi
·
IEEE/ACM Workshop on Deep Learning on Supercomputers (DLS)
PDF
Advection of sampling grids for efficient computation of trajectory-based quantities
2008
·
Rigazzi, Alessandro
·
Repository for Publications and Research Data (ETH Zurich)
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Works count:
16
Citation count:
313
H-index:
5
I10-index:
5
Year
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