David Amsallem

13 papers A 1Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Leveraging Risk Models to Improve Productivity for Effective Code Un-Freeze at Scale.
ACM Trans. Softw. Eng. Methodol.
Audris Mockus, Rui Abreu, Peter C. Rigby, David Amsallem, Parveen Bansal, Kaavya Chinniah, Brian Ellis, Peng Fan, Jun Ge, Bingjie He, Kelly Hirano, Sahil Kumar, Ajay Lingapuram, Andrew Loe, Megh Mehta, Venus Montes, Maher Saba, Gursharan Singh, Matt Steiner, Weiyan Sun, Siri Uppalapati, Nachiappan Nagappan
2020 J jnl
Gradient-based constrained optimization using a database of linear reduced-order models.
J. Comput. Phys.
Youngsoo Choi, Gabriele Boncoraglio, Spenser Anderson, David Amsallem, Charbel Farhat
2016 J jnl
Energy Stable Model Reduction of Neurons by Nonnegative Discrete Empirical Interpolation.
SIAM J. Sci. Comput.
David Amsallem, Jan Nordström
2016 J jnl
PEBL-ROM: Projection-error based local reduced-order models.
Adv. Model. Simul. Eng. Sci.
David Amsallem, Bernard Haasdonk
2016 J jnl
Real-time solution of linear computational problems using databases of parametric reduced-order models with arbitrary underlying meshes.
J. Comput. Phys.
David Amsallem, Radek Tezaur, Charbel Farhat
2016 J jnl
Robust model reduction by L
Adv. Model. Simul. Eng. Sci.
Rémi Abgrall, David Amsallem, Roxana Crisovan
2015 J jnl
Efficient model reduction of parametrized systems by matrix discrete empirical interpolation.
J. Comput. Phys.
Federico Negri, Andrea Manzoni, David Amsallem
2015 J jnl
Fast local reduced basis updates for the efficient reduction of nonlinear systems with hyper-reduction.
Adv. Comput. Math.
David Amsallem, Matthew J. Zahr, Kyle Washabaugh
2013 J jnl
Corrigendum to "The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows" [J. Comput. Physics 242 (2013) 623-647].
J. Comput. Phys.
Kevin Carlberg, Charbel Farhat, Julien Cortial, David Amsallem
2013 J jnl
High-order accurate difference schemes for the Hodgkin-Huxley equations.
J. Comput. Phys.
David Amsallem, Jan Nordström
2013 J jnl
The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows.
J. Comput. Phys.
Kevin Carlberg, Charbel Farhat, Julien Cortial, David Amsallem
2011 J jnl
An Online Method for Interpolating Linear Parametric Reduced-Order Models.
SIAM J. Sci. Comput.
David Amsallem, Charbel Farhat
2011 A conf
ModSpec: An open, flexible specification framework for multi-domain device modelling.
ICCAD
David Amsallem, Jaijeet S. Roychowdhury