Eric Darve - RankMe

126 papers A 4B 1Journal 101Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Necessary and Sufficient Conditions for the Existence of an LU Factorization for General Rank Deficient Matrices. CoRR Eric Darve
2026	J	`jnl`	SpectraQuery: A Hybrid Retrieval-Augmented Conversational Assistant for Battery Science. CoRR Sreya Vangara, Jagjit Nanda, Yan-Kai Tzeng, Eric Darve
2025	J	`jnl`	Bi-fidelity Interpolative Decomposition for Multimodal Data. CoRR Murray Cutforth, Tiffany Fan, Tony Zahtila, Alireza Doostan, Eric Darve
2025	J	`jnl`	Multi-fidelity Batch Active Learning for Gaussian Process Classifiers. CoRR Murray Cutforth, Yiming Yang, Tiffany Fan, Serge Guillas, Eric Darve
2025	J	`jnl`	Physically Interpretable Representation Learning with Gaussian Mixture Variational AutoEncoder (GM-VAE). CoRR Tiffany Fan, Murray Cutforth, Marta D'Elia, Alexandre Cortiella, Alireza Doostan, Eric Darve
2025	—	`conf`	Physically Interpretable Representation and Controlled Generation for Turbulence Data. CAI Tiffany Fan, Murray Cutforth, Marta D'Elia, Alexandre Cortiella, Alireza Doostan, Eric Darve
2025	J	`jnl`	Physically Interpretable Representation and Controlled Generation for Turbulence Data. CoRR Tiffany Fan, Murray Cutforth, Marta D'Elia, Alexandre Cortiella, Alireza Doostan, Eric Darve
2025	J	`jnl`	Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation. IEEE Trans Autom. Sci. Eng. Jia Liang, Huanyi Shui, Rajesh Gupta, Devesh Upadhyay, Eric Darve
2024	J	`jnl`	A Numerically Stable Communication-Avoiding \({s}\)-Step GMRES Algorithm. SIAM J. Matrix Anal. Appl. Zan Xu, Juan J. Alonso, Eric Darve
2024	J	`jnl`	Coincident learning for unsupervised anomaly detection of scientific instruments. Mach. Learn. Sci. Technol. Ryan Humble, Zhe Zhang, Finn H. O'Shea, Eric Darve, Daniel Ratner
2024	J	`jnl`	Learning reduced-order models for cardiovascular simulations with graph neural networks. Comput. Biol. Medicine Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio, Ke Ding, Rita Brugarolas Brufau, Eric Darve, Alison L. Marsden
2024	—	`conf`	Matrix Sketching for Online Analysis of LCLS Imaging Datasets. SC Workshops John Winnicki, Frédéric Poitevin, Haoyuan Li, Eric Darve
2023	J	`jnl`	A numerically stable communication-avoiding s-step GMRES algorithm. CoRR Zan Xu, Juan J. Alonso, Eric Darve
2023	—	`conf`	Anomaly Detection with Domain Adaptation. CVPR Workshops Ziyi Yang, Iman Soltani, Eric Darve
2023	J	`jnl`	Coincident Learning for Unsupervised Anomaly Detection. CoRR Ryan Humble, Zhe Zhang, Finn H. O'Shea, Eric Darve, Daniel Ratner
2023	J	`jnl`	Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices. CoRR Tetiana Parshakova, Trevor Hastie, Eric Darve, Stephen Boyd
2023	J	`jnl`	HyKKT: a hybrid direct-iterative method for solving KKT linear systems. Optim. Methods Softw. Shaked Regev, Naiyuan Chiang, Eric Darve, Cosmin G. Petra, Michael A. Saunders, Kasia Swirydowicz, Slaven Peles
2023	J	`jnl`	Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks. CoRR Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio, Ke Ding, Rita Brugarolas Brufau, Eric Darve, Alison L. Marsden
2023	J	`jnl`	Physics-based parameterized neural ordinary differential equations: prediction of laser ignition in a rocket combustor. CoRR Yizhou Qian, Jonathan Wang, Quentin Douasbin, Eric Darve
2023	J	`jnl`	Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source. CoRR Ryan Humble, William Colocho, Finn H. O'Shea, Daniel Ratner, Eric Darve
2022	J	`jnl`	Hierarchical Orthogonal Factorization: Sparse Least Squares Problems. J. Sci. Comput. Abeynaya Gnanasekaran, Eric Darve
2022	J	`jnl`	Hierarchical Orthogonal Factorization: Sparse Square Matrices. SIAM J. Matrix Anal. Appl. Abeynaya Gnanasekaran, Eric Darve
2022	J	`jnl`	Linear solvers for power grid optimization problems: A review of GPU-accelerated linear solvers. Parallel Comput. Kasia Swirydowicz, Eric Darve, Wesley B. Jones, Jonathan Maack, Shaked Regev, Michael A. Saunders, Stephen J. Thomas, Slaven Peles
2022	J	`jnl`	Memory-Augmented Generative Adversarial Networks for Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Ziyi Yang, Teng Zhang, Iman Soltani Bozchalooi, Eric Darve
2022	J	`jnl`	Physics constrained learning for data-driven inverse modeling from sparse observations. J. Comput. Phys. Kailai Xu, Eric Darve
2022	J	`jnl`	Probabilistic partition of unity networks for high-dimensional regression problems. CoRR Tiffany Fan, Nathaniel Trask, Marta D'Elia, Eric Darve
2022	—	`conf`	Scalable low-rank factorization using a task-based runtime system with distributed memory. PASC Abeynaya Gnanasekaran, Eric Darve
2022	—	`conf`	Soft Masking for Cost-Constrained Channel Pruning. ECCV (11) Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez
2022	J	`jnl`	Soft Masking for Cost-Constrained Channel Pruning. CoRR Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez
2021	J	`jnl`	A Hybrid Direct-Iterative Method for Solving KKT Linear Systems. CoRR Shaked Regev, Naiyuan Chiang, Eric Darve, Cosmin G. Petra, Michael A. Saunders, Kasia Swirydowicz, Slaven Peles
2021	—	`conf`	A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations. EMNLP (1) Ziyi Yang, Yinfei Yang, Daniel Cer, Eric Darve
2021	J	`jnl`	A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations. CoRR Ziyi Yang, Yinfei Yang, Daniel Cer, Eric Darve
2021	—	`conf`	A fast sparse QR factorization for solving linear least squares problems in graphics. SIGGRAPH Talks Abeynaya Gnanasekaran, Eric Darve
2021	J	`jnl`	A general approach to seismic inversion with automatic differentiation. Comput. Geosci. Weiqiang Zhu, Kailai Xu, Eric Darve, Gregory C. Beroza
2021	—	`conf`	A task-based distributed parallel sparsified nested dissection algorithm. PASC Léopold Cambier, Eric Darve
2021	—	`conf`	ADCME MPI: Distributed Machine Learning for Computational Engineering. AAAI Spring Symposium: MLPS Kailai Xu, Eric Darve
2021	—	`conf`	Deep Learning-based Fast Solver of the Shallow Water Equations. AAAI Spring Symposium: MLPS Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve
2021	J	`jnl`	Hierarchical Orthogonal Factorization: Sparse Least Squares Problems. CoRR Abeynaya Gnanasekaran, Eric Darve
2021	J	`jnl`	Learning constitutive relations using symmetric positive definite neural networks. J. Comput. Phys. Kailai Xu, Daniel Zhengyu Huang, Eric Darve
2021	J	`jnl`	Linear solvers for power grid optimization problems: a review of GPU-accelerated linear solvers. CoRR Kasia Swirydowicz, Eric Darve, Wesley B. Jones, Jonathan Maack, Shaked Regev, Michael A. Saunders, Stephen J. Thomas, Slaven Peles
2021	J	`jnl`	PBBFMM3D: A parallel black-box algorithm for kernel matrix-vector multiplication. J. Parallel Distributed Comput. Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve
2021	J	`jnl`	Towards a Scalable Hierarchical High-order CFD Solver. CoRR Zan Xu, Léopold Cambier, Juan J. Alonso, Eric Darve
2021	J	`jnl`	Trust Region Method for Coupled Systems of PDE Solvers and Deep Neural Networks. CoRR Kailai Xu, Eric Darve
2021	—	`conf`	Universal Sentence Representation Learning with Conditional Masked Language Model. EMNLP (1) Ziyi Yang, Yinfei Yang, Daniel Cer, Jax Law, Eric Darve
2020	J	`jnl`	ADCME: Learning Spatially-varying Physical Fields using Deep Neural Networks. CoRR Kailai Xu, Eric Darve
2020	J	`jnl`	An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations. SIAM J. Matrix Anal. Appl. Léopold Cambier, Chao Chen, Erik G. Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve
2020	J	`jnl`	Anomaly Detection with Domain Adaptation. CoRR Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve
2020	J	`jnl`	Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry. CoRR Yizhou Qian, Mojtaba Forghani, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve
2020	—	`conf`	Calibrating Multivariate Lévy Processes with Neural Networks. MSML Kailai Xu, Eric Darve
2020	—	`conf`	Data-Driven Inverse Modeling with Incomplete Observations. AAAI Spring Symposium: MLPS Kailai Xu, Eric Darve
2020	J	`jnl`	Distributed Machine Learning for Computational Engineering using MPI. CoRR Kailai Xu, Weiqiang Zhu, Eric Darve
2020	J	`jnl`	Hierarchical Orthogonal Factorization: Sparse Square matrices. CoRR Abeynaya Gnanasekaran, Eric Darve
2020	J	`jnl`	Inverse Modeling of Viscoelasticity Materials using Physics Constrained Learning. CoRR Kailai Xu, Alexandre M. Tartakovsky, Jeff Burghardt, Eric Darve
2020	J	`jnl`	Learning Constitutive Relations using Symmetric Positive Definite Neural Networks. CoRR Kailai Xu, Daniel Zhengyu Huang, Eric Darve
2020	J	`jnl`	Learning constitutive relations from indirect observations using deep neural networks. J. Comput. Phys. Daniel Zhengyu Huang, Kailai Xu, Charbel Farhat, Eric Darve
2020	J	`jnl`	Memory Augmented Generative Adversarial Networks for Anomaly Detection. CoRR Ziyi Yang, Teng Zhang, Iman Soltani Bozchalooi, Eric Darve
2020	J	`jnl`	Multi-Constitutive Neural Network for Large Deformation Poromechanics Problem. CoRR Qi Zhang, Yilin Chen, Ziyi Yang, Eric Darve
2020	J	`jnl`	Parallelization of the inverse fast multipole method with an application to boundary element method. Comput. Phys. Commun. Toru Takahashi, Chao Chen, Eric Darve
2020	J	`jnl`	Physics Constrained Learning for Data-driven Inverse Modeling from Sparse Observations. CoRR Kailai Xu, Eric Darve
2020	A	`conf`	Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection. ECAI Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve
2020	J	`jnl`	Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection. CoRR Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve
2020	J	`jnl`	Second Order Accurate Hierarchical Approximate Factorization of Sparse SPD Matrices. CoRR Bazyli Klockiewicz, Léopold Cambier, Ryan Humble, Hamdi A. Tchelepi, Eric Darve
2020	J	`jnl`	Solving Inverse Problems in Steady State Navier-Stokes Equations using Deep Neural Networks. CoRR Tiffany Fan, Kailai Xu, Jay Pathak, Eric Darve
2020	J	`jnl`	Sparse Hierarchical Preconditioners Using Piecewise Smooth Approximations of Eigenvectors. SIAM J. Sci. Comput. Bazyli Klockiewicz, Eric Darve
2020	—	`conf`	TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. EMNLP (Findings) Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve
2020	J	`jnl`	TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. CoRR Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve
2020	—	`conf`	TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++. PAW-ATM@SC Léopold Cambier, Yizhou Qian, Eric Darve
2020	J	`jnl`	TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++. CoRR Léopold Cambier, Yizhou Qian, Eric Darve
2020	J	`jnl`	Universal Sentence Representation Learning with Conditional Masked Language Model. CoRR Ziyi Yang, Yinfei Yang, Daniel Cer, Jax Law, Eric Darve
2019	J	`jnl`	A robust hierarchical solver for ill-conditioned systems with applications to ice sheet modeling. J. Comput. Phys. Chao Chen, Léopold Cambier, Erik G. Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve
2019	J	`jnl`	Adversarial Numerical Analysis for Inverse Problems. CoRR Kailai Xu, Eric Darve
2019	J	`jnl`	Block Basis Factorization for Scalable Kernel Evaluation. SIAM J. Matrix Anal. Appl. Ruoxi Wang, Yingzhou Li, Michael W. Mahoney, Eric Darve
2019	—	`conf`	Embedding Imputation with Grounded Language Information. ACL (1) Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve
2019	J	`jnl`	Embedding Imputation with Grounded Language Information. CoRR Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve
2019	J	`jnl`	Fast Low-Rank Kernel Matrix Factorization Using Skeletonized Interpolation. SIAM J. Sci. Comput. Léopold Cambier, Eric Darve
2019	J	`jnl`	Learning Hidden Dynamics using Intelligent Automatic Differentiation. CoRR Kailai Xu, Dongzhuo Li, Eric Darve, Jerry M. Harris
2019	J	`jnl`	PBBFMM3D: a Parallel Black-Box Fast Multipole Method for Non-oscillatory Kernels. CoRR Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve
2019	J	`jnl`	Sparse Hierarchical Preconditioners Using Piecewise Smooth Approximations of Eigenvectors. CoRR Bazyli Klockiewicz, Eric Darve
2018	J	`jnl`	A distributed-memory hierarchical solver for general sparse linear systems. Parallel Comput. Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve
2018	J	`jnl`	Calibrating Lévy Process from Observations Based on Neural Networks and Automatic Differentiation with Convergence Proofs. CoRR Kailai Xu, Eric Darve
2018	J	`jnl`	Low-Rank Factorizations in Data Sparse Hierarchical Algorithms for Preconditioning Symmetric Positive Definite Matrices. SIAM J. Matrix Anal. Appl. Emmanuel Agullo, Eric Darve, Luc Giraud, Yuval Harness
2018	J	`jnl`	On the Numerical Rank of Radial Basis Function Kernels in High Dimensions. SIAM J. Matrix Anal. Appl. Ruoxi Wang, Yingzhou Li, Eric Darve
2018	J	`jnl`	Sparse supernodal solver using block low-rank compression: Design, performance and analysis. J. Comput. Sci. Gregoire Pichon, Eric Darve, Mathieu Faverge, Pierre Ramet, Jean Roman
2017	J	`jnl`	A distributed-memory hierarchical solver for general sparse linear systems. CoRR Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve
2017	J	`jnl`	Application of the inverse fast multipole method as a preconditioner in a 3D Helmholtz boundary element method. J. Comput. Phys. Toru Takahashi, Pieter Coulier, Eric Darve
2017	J	`jnl`	Fast Hierarchical Solvers For Sparse Matrices Using Extended Sparsification and Low-Rank Approximation. SIAM J. Sci. Comput. Hadi Pouransari, Pieter Coulier, Eric Darve
2017	J	`jnl`	On the numerical rank of radial basis function kernel matrices in high dimension. CoRR Ruoxi Wang, Yingzhou Li, Eric Darve
2017	—	`conf`	Sparse Supernodal Solver Using Block Low-Rank Compression. IPDPS Workshops Gregoire Pichon, Eric Darve, Mathieu Faverge, Pierre Ramet, Jean Roman
2017	J	`jnl`	The Inverse Fast Multipole Method: Using a Fast Approximate Direct Solver as a Preconditioner for Dense Linear Systems. SIAM J. Sci. Comput. Pieter Coulier, Hadi Pouransari, Eric Darve
2016	J	`jnl`	A fast block low-rank dense solver with applications to finite-element matrices. J. Comput. Phys. Amirhossein Aminfar, Sivaram Ambikasaran, Eric Darve
2016	J	`jnl`	Task-based FMM for heterogeneous architectures. Concurr. Comput. Pract. Exp. Emmanuel Agullo, Bérenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi
2015	J	`jnl`	A New Sparse Matrix Vector Multiplication GPU Algorithm Designed for Finite Element Problems. CoRR Jonathan Wong, Ellen Kuhl, Eric Darve
2015	J	`jnl`	Fast hierarchical solvers for sparse matrices. CoRR Hadi Pouransari, Pieter Coulier, Eric Darve
2015	J	`jnl`	Optimizing the Adaptive Fast Multipole Method for Fractal Sets. SIAM J. Sci. Comput. Hadi Pouransari, Eric Darve
2015	J	`jnl`	Structured Block Basis Factorization for Scalable Kernel Matrix Evaluation. CoRR Ruoxi Wang, Yingzhou Li, Michael W. Mahoney, Eric Darve
2015	J	`jnl`	The inverse fast multipole method: using a fast approximate direct solver as a preconditioner for dense linear systems. CoRR Pieter Coulier, Hadi Pouransari, Eric Darve
2014	J	`jnl`	A Fast Block Low-Rank Dense Solver with Applications to Finite-Element Matrices. CoRR Amirhossein Aminfar, Sivaram Ambikasaran, Eric Darve
2014	J	`jnl`	A Fast Sparse Solver for Finite-Element Matrices. CoRR Amirhossein Aminfar, Eric Darve
2014	J	`jnl`	A Kalman filter powered by H CoRR Judith Y. Li, Sivaram Ambikasaran, Eric Darve, Peter K. Kitanidis
2014	J	`jnl`	AWE-WQ: Fast-Forwarding Molecular Dynamics Using the Accelerated Weighted Ensemble. J. Chem. Inf. Model. Badi Abdul-Wahid, Haoyun Feng, Dinesh Rajan, Ronan Costaouec, Eric Darve, Douglas Thain, Jesús A. Izaguirre
2014	J	`jnl`	Cauchy Fast Multipole Method for General Analytic Kernels. SIAM J. Sci. Comput. Pierre-David Létourneau, Cris Cecka, Eric Darve
2014	J	`jnl`	Task-Based FMM for Multicore Architectures. SIAM J. Sci. Comput. Emmanuel Agullo, Bérenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi
2014	J	`jnl`	The Inverse Fast Multipole Method. CoRR Sivaram Ambikasaran, Eric Darve
2013	J	`jnl`	A fast algorithm for sparse matrix computations related to inversion. J. Comput. Phys. Song Li, W. Wu, Eric Darve
2013	J	`jnl`	An O (N log N) Fast Direct Solver for Partial Hierarchically Semi-Separable Matrices - With Application to Radial Basis Function Interpolation. J. Sci. Comput. Sivaram Ambikasaran, Eric Darve
2013	J	`jnl`	Erratum to "A fast algorithm for sparse matrix computations related to inversion" [J. Comput. Physics 242 (2013) 915-945]. J. Comput. Phys. Song Li, W. Wu, Eric Darve
2013	J	`jnl`	Fourier-Based Fast Multipole Method for the Helmholtz Equation. SIAM J. Sci. Comput. Cris Cecka, Eric Darve
2012	—	`conf`	Abstract: Matrices Over Runtime Systems at Exascale. SC Companion Emmanuel Agullo, George Bosilca, Bérenger Bramas, Cedric Castagnede, Olivier Coulaud, Eric Darve, Jack J. Dongarra, Mathieu Faverge, Nathalie Furmento, Luc Giraud, Xavier Lacoste, Julien Langou, Hatem Ltaief, Matthias Messner, Raymond Namyst, Pierre Ramet, Toru Takahashi, Samuel Thibault, Stanimire Tomov, Ichitaro Yamazaki
2012	J	`jnl`	Extension and optimization of the FIND algorithm: Computing Green's and less-than Green's functions. J. Comput. Phys. Song Li, Eric Darve
2012	J	`jnl`	Fast directional multilevel summation for oscillatory kernels based on Chebyshev interpolation. J. Comput. Phys. Matthias Messner, Martin Schanz, Eric Darve
2012	—	`conf`	Folding proteins at 500 ns/hour with Work Queue. eScience Badi Abdul-Wahid, Li Yu, Dinesh Rajan, Haoyun Feng, Eric Darve, Douglas Thain, Jesús A. Izaguirre
2012	J	`jnl`	Optimized M2L Kernels for the Chebyshev Interpolation based Fast Multipole Method CoRR Matthias Messner, Bérenger Bramas, Olivier Coulaud, Eric Darve
2012	J	`jnl`	Pipelining the Fast Multipole Method over a Runtime System CoRR Emmanuel Agullo, Bérenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi
2012	—	`conf`	Poster: Matrices over Runtime Systems at Exascale. SC Companion Emmanuel Agullo, George Bosilca, Bérenger Bramas, Cedric Castagnede, Olivier Coulaud, Eric Darve, Jack J. Dongarra, Mathieu Faverge, Nathalie Furmento, Luc Giraud, Xavier Lacoste, Julien Langou, Hatem Ltaief, Matthias Messner, Raymond Namyst, Pierre Ramet, Toru Takahashi, Samuel Thibault, Stanimire Tomov, Ichitaro Yamazaki
2011	A	`conf`	Liszt: a domain specific language for building portable mesh-based PDE solvers. SC Zach DeVito, Niels Joubert, Francisco Palacios, Stephen Oakley, Montserrat Medina, Mike Barrientos, Erich Elsen, Frank Ham, Alex Aiken, Karthik Duraisamy, Eric Darve, Juan J. Alonso, Pat Hanrahan
2009	J	`jnl`	A hybrid method for the parallel computation of Green's functions. J. Comput. Phys. Dan Erik Petersen, Song Li, Kurt Stokbro, Hans Henrik B. Sørensen, Per Christian Hansen, Stig Skelboe, Eric Darve
2009	J	`jnl`	The black-box fast multipole method. J. Comput. Phys. William Fong, Eric Darve
2008	J	`jnl`	Computing entries of the inverse of a sparse matrix using the FIND algorithm. J. Comput. Phys. Song Li, Shaikh S. Ahmed, Gerhard Klimeck, Eric Darve
2008	J	`jnl`	Fast electrostatic force calculation on parallel computer clusters. J. Comput. Phys. Amirali Kia, Daejoong Kim, Eric Darve
2008	J	`jnl`	Large calculation of the flow over a hypersonic vehicle using a GPU. J. Comput. Phys. Erich Elsen, Patrick LeGresley, Eric Darve
2008	J	`jnl`	Stability of asynchronous variational integrators. J. Comput. Phys. William Fong, Eric Darve, Adrian Lew
2007	J	`jnl`	N-Body Simulations on GPUs CoRR Erich Elsen, Vaidyanathan Vishal, Mike Houston, Vijay S. Pande, Pat Hanrahan, Eric Darve
2007	B	`conf`	Stability of Asynchronous Variational Integrators. PADS William Fong, Eric Darve, Adrian Lew
2006	A	`conf`	Poster reception - N-Body simulation on GPUs. SC Erich Elsen, Mike Houston, Vaidyanathan Vishal, Eric Darve, Pat Hanrahan, Vijay S. Pande
2004	A	`conf`	Analysis and Performance Results of a Molecular Modeling Application on Merrimac. SC Mattan Erez, Jung Ho Ahn, Ankit Garg, William J. Dally, Eric Darve
2000	J	`jnl`	The Fast Multipole Method I: Error Analysis and Asymptotic Complexity. SIAM J. Numer. Anal. Eric Darve