Francesco Rizzi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 27

Top Topics

Minimally Invasive

Monte Carlo Sampling

Ambrosio Tortorelli

Top Venues

SIAM J. Sci. Comput.

Int. J. High Perform. Comput. Appl.

Publications

Saibal De, Hemanth Kolla, Antoine Meyer, Eric T. Phipps, Francesco Rizzi
Hybrid Parallel Tucker Decomposition of Streaming Data. PASC (2024)
Angela-Tafadzwa Shumba, Suleyman Mahircan Demir, Vincenzo Mariano Mastronardi, Francesco Rizzi, Gaia De Marzo, Luca Fachechi, Paolo Motto Ros, Danilo Demarchi, Luigi Patrono, Massimo de Vittorio
Monitoring Cardiovascular Physiology Using Bio-Compatible AlN Piezoelectric Skin Sensors. IEEE Access 12 (2024)
Eric J. Parish, Francesco Rizzi
On the impact of dimensionally-consistent and physics-based inner products for POD-Galerkin and least-squares model reduction of compressible flows. J. Comput. Phys. 491 (2023)
Jorio Cocola, John Tencer, Francesco Rizzi, Eric J. Parish, Patrick J. Blonigan
Hyper-Reduced Autoencoders for Efficient and Accurate Nonlinear Model Reductions. CoRR (2023)
Ilaria Marasco, Giovanni Niro, Francesco Rizzi, Antonella D'Orazio, Marco Grande, Massimo de Vittorio
Design and Fabrication of a Minimally Invasive Dielectric Sensor for Biological Environments. IEEE Access 11 (2023)
Giovanni Niro, Ilaria Marasco, Francesco Rizzi, Antonella D'Orazio, Marco Grande, Massimo de Vittorio
Design and Fabrication of a Flexible Gravimetric Sensor Based on a Thin-Film Bulk Acoustic Wave Resonator. Sensors 23 (3) (2023)
Bo Zhang, Pradeep Subedi, Philip E. Davis, Francesco Rizzi, Keita Teranishi, Manish Parashar
Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization. CCGRID (2022)
Eric J. Parish, Francesco Rizzi
On the impact of dimensionally-consistent and physics-based inner products for POD-Galerkin and least-squares model reduction of compressible flows. CoRR (2022)
Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth
Resiliency in numerical algorithm design for extreme scale simulations. Int. J. High Perform. Comput. Appl. 36 (2) (2022)
Ruhui Jin, Francesco Rizzi, Eric J. Parish
Space-time reduced-order modeling for uncertainty quantification. CoRR (2021)
Jonathan Lifflander, Nicole Lemaster Slattengren, Philippe P. Pébaÿ, Phil Miller, Francesco Rizzi, Matthew T. Bettencourt
Optimizing Distributed Load Balancing for Workloads with Time-Varying Imbalance. CLUSTER (2021)
Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth
Resiliency in Numerical Algorithm Design for Extreme Scale Simulations. CoRR (2020)
Giovanni Niro, Ilaria Marasco, Francesco Rizzi, Antonella D'Orazio, Massimo de Vittorio, Marco Grande
Design of a surface acoustic wave resonator for sensing platforms. MeMeA (2020)
Francesco Rizzi, Patrick J. Blonigan, Kevin T. Carlberg
Pressio: Enabling projection-based model reduction for large-scale nonlinear dynamical systems. CoRR (2020)
Francesco Rizzi, Eric J. Parish, Patrick J. Blonigan, John Tencer
A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems. CoRR (2020)
Ilaria Marasco, Giovanni Niro, Francesco Rizzi, Massimo de Vittorio, Antonella D'Orazio, Marco Grande
Design of a PEN-Based Flexible PIFA Antenna Operating in the sub-6GHz Band for 5G Applications. ICTON (2020)
Leonardo Lamanna, Francesco Rizzi, Massimo de Vittorio, Venkat R. Bhethanabotla
Light interaction with AlN-based SAW device fabricated on flexible and silicon substrate. IEEE SENSORS (2019)
Andres Contreras, Paul Mycek, Olivier P. Le Maître, Francesco Rizzi, Bert J. Debusschere, Omar M. Knio
Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations Part B: Accelerated Monte Carlo Sampling with Local PC Expansions. SIAM J. Sci. Comput. 40 (4) (2018)
Andres Contreras, Paul Mycek, Olivier P. Le Maître, Francesco Rizzi, Bert J. Debusschere, Omar M. Knio
Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations. Part A: Local Karhunen-Loève Representations. SIAM J. Sci. Comput. 40 (4) (2018)
Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere
Partial differential equations preconditioner resilient to soft and hard faults. Int. J. High Perform. Comput. Appl. 32 (5) (2018)
Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere
Exploring the interplay of resilience and energy consumption for a task-based partial differential equations preconditioner. Parallel Comput. 73 (2018)
Claudio Abels, Vincenzo Mariano Mastronardi, Francesco Guido, Tommaso Dattoma, Antonio Qualtieri, William M. Megill, Massimo de Vittorio, Francesco Rizzi
Nitride-Based Materials for Flexible MEMS Tactile and Flow Sensors in Robotics. Sensors 17 (5) (2017)
Paul Mycek, Francesco Rizzi, Olivier P. Le Maître, Khachik Sargsyan, Karla Morris, Cosmin Safta, Bert J. Debusschere, Omar M. Knio
Discrete A Priori Bounds for the Detection of Corrupted PDE Solutions in Exascale Computations. SIAM J. Sci. Comput. 39 (1) (2017)
Paul Mycek, Andres Contreras, Olivier P. Le Maître, Khachik Sargsyan, Francesco Rizzi, Karla Morris, Cosmin Safta, Bert J. Debusschere, Omar M. Knio
A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs. Comput. Phys. Commun. 216 (2017)
Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta, Bert J. Debusschere, Olivier P. Le Maître, Omar M. Knio
ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner. FTXS@HPDC (2016)
Karla Morris, Francesco Rizzi, Khachik Sargsyan, Kathryn Dahlgren, Paul Mycek, Cosmin Safta, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere
Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. ISC (2016)
Karla Morris, Francesco Rizzi, Brendan Cook, Paul Mycek, Olivier P. Le Maître, Omar M. Knio, Khachik Sargsyan, Kathryn Dahlgren, Bert J. Debusschere
Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver. ScalA@SC (2016)
Khachik Sargsyan, Francesco Rizzi, Paul Mycek, Cosmin Safta, Karla Morris, Habib N. Najm, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere
Fault Resilient Domain Decomposition Preconditioner for PDEs. SIAM J. Sci. Comput. 37 (5) (2015)
Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere
Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. CLUSTER (2015)
Maarja Kruusmaa, Paolo Fiorini, William Megill, Massimo de Vittorio, Otar Akanyeti, Francesco Visentin, Lily Chambers, Hadi El Daou, Maria-Camilla Fiazza, Jaas Jezov, Madis Listak, Lorenzo Rossi, Taavi Salumae, Gert Toming, Roberto Venturelli, David Samuel Jung, Jennifer C. Brown, Francesco Rizzi, Antonio Qualtieri, Jacqueline Lesley Maud, Andrew Liszewski
FILOSE for Svenning: A Flow Sensing Bioinspired Robot. IEEE Robotics Autom. Mag. 21 (3) (2014)
Alen Alexanderian, Francesco Rizzi, Muruhan Rathinam, Olivier P. Le Maître, Omar M. Knio
Preconditioned Bayesian Regression for Stochastic Chemical Kinetics. J. Sci. Comput. 58 (3) (2014)
Francesco Rizzi, Habib N. Najm, Bert J. Debusschere, Khachik Sargsyan, Maher Salloum, Helgi Adalsteinsson, Omar M. Knio
Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters. Multiscale Model. Simul. 10 (4) (2012)
Francesco Rizzi, Habib N. Najm, Bert J. Debusschere, Khachik Sargsyan, Maher Salloum, Helgi Adalsteinsson, Omar M. Knio
Uncertainty Quantification in MD Simulations. Part I: Forward Propagation. Multiscale Model. Simul. 10 (4) (2012)
Francesco Rizzi, Maher Salloum, Y. M. Marzouk, R.-G. Xu, M. L. Falk, T. P. Weihs, G. Fritz, Omar M. Knio
Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics. Multiscale Model. Simul. 9 (1) (2011)