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ORCIDEric Darve
Eric F. Darve
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- affiliation: Stanford University, Institute for Computational and Mathematical Engineering, CA, USA
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2020 – today
- 2024
[j43]Luca Pegolotti
, Martin R. Pfaller, Natalia L. Rubio, Ke Ding, Rita Brugarolas Brufau, Eric Darve, Alison L. Marsden:
Learning reduced-order models for cardiovascular simulations with graph neural networks. Comput. Biol. Medicine 168: 107676 (2024)- [i54]Natalia L. Rubio, Luca Pegolotti, Martin R. Pfaller, Eric F. Darve, Alison L. Marsden:
Hybrid Physics-Based and Data-Driven Modeling of Vascular Bifurcation Pressure Differences. CoRR abs/2402.15651 (2024) - [i53]Dhruv V. Patel, Jonghyun Lee, Matthew W. Farthing, Peter K. Kitanidis, Eric F. Darve:
Multi-fidelity Hamiltonian Monte Carlo. CoRR abs/2405.05033 (2024) - 2023
- [j42]Shaked Regev, Naiyuan Chiang, Eric Darve, Cosmin G. Petra, Michael A. Saunders, Kasia Swirydowicz, Slaven Peles:
HyKKT: a hybrid direct-iterative method for solving KKT linear systems. Optim. Methods Softw. 38(2): 332-355 (2023) - [c26]Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve:
Anomaly Detection with Domain Adaptation. CVPR Workshops 2023: 2958-2967 - [i52]Ryan Humble, Zhe Zhang, Finn O'Shea, Eric Darve, Daniel Ratner:
Coincident Learning for Unsupervised Anomaly Detection. CoRR abs/2301.11368 (2023) - [i51]Yizhou Qian, Jonathan Wang, Quentin Douasbin, Eric Darve:
Physics-based parameterized neural ordinary differential equations: prediction of laser ignition in a rocket combustor. CoRR abs/2302.08629 (2023) - [i50]Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio, Ke Ding, Rita Brugarolas Brufau, Eric Darve, Alison L. Marsden:
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks. CoRR abs/2303.07310 (2023) - [i49]Zan Xu, Juan J. Alonso, Eric Darve:
A numerically stable communication-avoiding s-step GMRES algorithm. CoRR abs/2303.08953 (2023) - [i48]Ryan Humble, William Colocho, Finn O'Shea, Daniel Ratner, Eric Darve:
Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source. CoRR abs/2309.02333 (2023) - [i47]Tetiana Parshakova, Trevor Hastie, Eric Darve, Stephen Boyd:
Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices. CoRR abs/2310.19214 (2023) - 2022
- [j41]Kailai Xu, Eric Darve:
Physics constrained learning for data-driven inverse modeling from sparse observations. J. Comput. Phys. 453: 110938 (2022) - [j40]Abeynaya Gnanasekaran, Eric Darve:
Hierarchical Orthogonal Factorization: Sparse Least Squares Problems. J. Sci. Comput. 91(2): 50 (2022) - [j39]Kasia Swirydowicz, Eric Darve, Wesley B. Jones, Jonathan Maack, Shaked Regev, Michael A. Saunders, Stephen J. Thomas, Slaven Peles:
Linear solvers for power grid optimization problems: A review of GPU-accelerated linear solvers. Parallel Comput. 111: 102870 (2022) - [j38]Abeynaya Gnanasekaran, Eric Darve:
Hierarchical Orthogonal Factorization: Sparse Square Matrices. SIAM J. Matrix Anal. Appl. 43(1): 94-123 (2022) - [j37]Ziyi Yang, Teng Zhang, Iman Soltani Bozchalooi, Eric Darve:
Memory-Augmented Generative Adversarial Networks for Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2324-2334 (2022) - [c25]Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez:
Soft Masking for Cost-Constrained Channel Pruning. ECCV (11) 2022: 641-657 - [c24]Abeynaya Gnanasekaran, Eric Darve:
Scalable low-rank factorization using a task-based runtime system with distributed memory. PASC 2022: 8:1-8:11 - [i46]Tiffany Fan, Nathaniel Trask, Marta D'Elia, Eric Darve:
Probabilistic partition of unity networks for high-dimensional regression problems. CoRR abs/2210.02694 (2022) - [i45]Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez:
Soft Masking for Cost-Constrained Channel Pruning. CoRR abs/2211.02206 (2022) - 2021
- [j36]Weiqiang Zhu, Kailai Xu, Eric Darve, Gregory C. Beroza:
A general approach to seismic inversion with automatic differentiation. Comput. Geosci. 151: 104751 (2021) - [j35]Kailai Xu, Daniel Zhengyu Huang, Eric Darve:
Learning constitutive relations using symmetric positive definite neural networks. J. Comput. Phys. 428: 110072 (2021) - [j34]Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve:
PBBFMM3D: A parallel black-box algorithm for kernel matrix-vector multiplication. J. Parallel Distributed Comput. 154: 64-73 (2021) - [c23]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve:
Deep Learning-based Fast Solver of the Shallow Water Equations. AAAI Spring Symposium: MLPS 2021 - [c22]Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser:
Preface. AAAI Spring Symposium: MLPS 2021 - [c21]Kailai Xu, Eric Darve:
ADCME MPI: Distributed Machine Learning for Computational Engineering. AAAI Spring Symposium: MLPS 2021 - [c20]Ziyi Yang, Yinfei Yang, Daniel Cer, Eric Darve:
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations. EMNLP (1) 2021: 5825-5832 - [c19]Ziyi Yang, Yinfei Yang, Daniel Cer, Jax Law, Eric Darve:
Universal Sentence Representation Learning with Conditional Masked Language Model. EMNLP (1) 2021: 6216-6228 - [c18]Léopold Cambier, Eric Darve:
A task-based distributed parallel sparsified nested dissection algorithm. PASC 2021: 15:1-15:11 - [c17]Abeynaya Gnanasekaran, Eric Darve:
A fast sparse QR factorization for solving linear least squares problems in graphics. SIGGRAPH Talks 2021: 13:1-13:2 - [e2]Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Michael W. Mahoney, Anuj Karpatne, Matthew W. Farthing, Tyler J. Hesser:
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to - 24th, 2021. CEUR Workshop Proceedings 2964, CEUR-WS.org 2021 [contents] - [i44]Zan Xu, Léopold Cambier, Juan J. Alonso, Eric Darve:
Towards a Scalable Hierarchical High-order CFD Solver. CoRR abs/2101.01763 (2021) - [i43]Abeynaya Gnanasekaran, Eric Darve:
Hierarchical Orthogonal Factorization: Sparse Least Squares Problems. CoRR abs/2102.09878 (2021) - [i42]Kailai Xu, Eric Darve:
Trust Region Method for Coupled Systems of PDE Solvers and Deep Neural Networks. CoRR abs/2105.07552 (2021) - [i41]Kasia Swirydowicz, Eric Darve, Wesley B. Jones, Jonathan Maack, Shaked Regev, Michael A. Saunders, Stephen J. Thomas, Slaven Peles:
Linear solvers for power grid optimization problems: a review of GPU-accelerated linear solvers. CoRR abs/2106.13909 (2021) - [i40]Ziyi Yang, Yinfei Yang, Daniel Cer, Eric Darve:
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations. CoRR abs/2109.04727 (2021) - [i39]Shaked Regev, Naiyuan Chiang, Eric Darve, Cosmin G. Petra, Michael A. Saunders, Kasia Swirydowicz, Slaven Peles:
A Hybrid Direct-Iterative Method for Solving KKT Linear Systems. CoRR abs/2110.03636 (2021) - [i38]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Deep learning-based fast solver of the shallow water equations. CoRR abs/2111.11702 (2021) - [i37]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry. CoRR abs/2111.11719 (2021) - 2020
- [j33]Toru Takahashi, Chao Chen, Eric Darve:
Parallelization of the inverse fast multipole method with an application to boundary element method. Comput. Phys. Commun. 247 (2020) - [j32]Daniel Zhengyu Huang, Kailai Xu, Charbel Farhat, Eric Darve:
Learning constitutive relations from indirect observations using deep neural networks. J. Comput. Phys. 416: 109491 (2020) - [j31]Léopold Cambier, Chao Chen, Erik G. Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve:
An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations. SIAM J. Matrix Anal. Appl. 41(2): 715-746 (2020) - [j30]Bazyli Klockiewicz, Eric Darve:
Sparse Hierarchical Preconditioners Using Piecewise Smooth Approximations of Eigenvectors. SIAM J. Sci. Comput. 42(6): A3907-A3931 (2020) - [c16]Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser:
Preface. AAAI Spring Symposium: MLPS 2020 - [c15]Yizhou Qian, Hojat Ghorbanidehno, Matthew W. Farthing, Ty Hesser, Peter K. Kitanidis, Eric F. Darve:
Surfzone Topography-informed Deep Learning Techniques to Nearshore Bathymetry with Sparse Measurements. AAAI Spring Symposium: MLPS 2020 - [c14]Kailai Xu, Eric Darve:
Data-Driven Inverse Modeling with Incomplete Observations. AAAI Spring Symposium: MLPS 2020 - [c13]Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve:
Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection. ECAI 2020: 1618-1625 - [c12]Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve:
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. EMNLP (Findings) 2020: 1865-1874 - [c11]Kailai Xu, Eric Darve:
Calibrating Multivariate Lévy Processes with Neural Networks. MSML 2020: 207-220 - [c10]Léopold Cambier, Yizhou Qian, Eric Darve:
TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++. PAW-ATM@SC 2020: 16-26 - [e1]Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser:
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to - 25th, 2020. CEUR Workshop Proceedings 2587, CEUR-WS.org 2020 [contents] - [i36]Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve:
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. CoRR abs/2001.00725 (2020) - [i35]Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve:
Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection. CoRR abs/2001.06591 (2020) - [i34]Ziyi Yang, Teng Zhang, Iman Soltani Bozchalooi, Eric Darve:
Memory Augmented Generative Adversarial Networks for Anomaly Detection. CoRR abs/2002.02669 (2020) - [i33]Kailai Xu, Eric Darve:
Physics Constrained Learning for Data-driven Inverse Modeling from Sparse Observations. CoRR abs/2002.10521 (2020) - [i32]Kailai Xu, Daniel Zhengyu Huang, Eric Darve:
Learning Constitutive Relations using Symmetric Positive Definite Neural Networks. CoRR abs/2004.00265 (2020) - [i31]Kailai Xu, Alexandre M. Tartakovsky, Jeff Burghardt, Eric Darve:
Inverse Modeling of Viscoelasticity Materials using Physics Constrained Learning. CoRR abs/2005.04384 (2020) - [i30]Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve:
Anomaly Detection with Domain Adaptation. CoRR abs/2006.03689 (2020) - [i29]Bazyli Klockiewicz, Léopold Cambier, Ryan Humble, Hamdi A. Tchelepi, Eric Darve:
Second Order Accurate Hierarchical Approximate Factorization of Sparse SPD Matrices. CoRR abs/2007.00789 (2020) - [i28]Tiffany Fan, Kailai Xu, Jay Pathak, Eric Darve:
Solving Inverse Problems in Steady State Navier-Stokes Equations using Deep Neural Networks. CoRR abs/2008.13074 (2020) - [i27]Léopold Cambier, Yizhou Qian, Eric Darve:
TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++. CoRR abs/2009.10697 (2020) - [i26]Abeynaya Gnanasekaran, Eric Darve:
Hierarchical Orthogonal Factorization: Sparse Square matrices. CoRR abs/2010.06807 (2020) - [i25]Qi Zhang, Yilin Chen, Ziyi Yang, Eric Darve:
Multi-Constitutive Neural Network for Large Deformation Poromechanics Problem. CoRR abs/2010.15549 (2020) - [i24]Kailai Xu, Weiqiang Zhu, Eric Darve:
Distributed Machine Learning for Computational Engineering using MPI. CoRR abs/2011.01349 (2020) - [i23]Yizhou Qian, Mojtaba Forghani, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve:
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry. CoRR abs/2011.09707 (2020) - [i22]Kailai Xu, Eric Darve:
ADCME: Learning Spatially-varying Physical Fields using Deep Neural Networks. CoRR abs/2011.11955 (2020) - [i21]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Application of deep learning to large scale riverine flow velocity estimation. CoRR abs/2012.02620 (2020) - [i20]Ziyi Yang, Yinfei Yang, Daniel Cer, Jax Law, Eric Darve:
Universal Sentence Representation Learning with Conditional Masked Language Model. CoRR abs/2012.14388 (2020)
2010 – 2019
- 2019
- [j29]Chao Chen, Léopold Cambier, Erik G. Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve:
A robust hierarchical solver for ill-conditioned systems with applications to ice sheet modeling. J. Comput. Phys. 396: 819-836 (2019) - [j28]Ruoxi Wang, Yingzhou Li, Michael W. Mahoney, Eric Darve:
Block Basis Factorization for Scalable Kernel Evaluation. SIAM J. Matrix Anal. Appl. 40(4): 1497-1526 (2019) - [j27]Léopold Cambier, Eric Darve:
Fast Low-Rank Kernel Matrix Factorization Using Skeletonized Interpolation. SIAM J. Sci. Comput. 41(3): A1652-A1680 (2019) - [c9]Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve:
Embedding Imputation with Grounded Language Information. ACL (1) 2019: 3356-3361 - [i19]Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve:
PBBFMM3D: a Parallel Black-Box Fast Multipole Method for Non-oscillatory Kernels. CoRR abs/1903.02153 (2019) - [i18]Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve:
Embedding Imputation with Grounded Language Information. CoRR abs/1906.03753 (2019) - [i17]Bazyli Klockiewicz, Eric Darve:
Sparse Hierarchical Preconditioners Using Piecewise Smooth Approximations of Eigenvectors. CoRR abs/1907.03406 (2019) - [i16]Kailai Xu, Eric Darve:
Adversarial Numerical Analysis for Inverse Problems. CoRR abs/1910.06936 (2019) - [i15]Kailai Xu, Dongzhuo Li, Eric Darve, Jerry M. Harris:
Learning Hidden Dynamics using Intelligent Automatic Differentiation. CoRR abs/1912.07547 (2019) - 2018
- [j26]Gregoire Pichon, Eric Darve, Mathieu Faverge, Pierre Ramet, Jean Roman:
Sparse supernodal solver using block low-rank compression: Design, performance and analysis. J. Comput. Sci. 27: 255-270 (2018) - [j25]Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve:
A distributed-memory hierarchical solver for general sparse linear systems. Parallel Comput. 74: 49-64 (2018) - [j24]Emmanuel Agullo, Eric Darve, Luc Giraud, Yuval Harness:
Low-Rank Factorizations in Data Sparse Hierarchical Algorithms for Preconditioning Symmetric Positive Definite Matrices. SIAM J. Matrix Anal. Appl. 39(4): 1701-1725 (2018) - [j23]Ruoxi Wang, Yingzhou Li, Eric Darve:
On the Numerical Rank of Radial Basis Function Kernels in High Dimensions. SIAM J. Matrix Anal. Appl. 39(4): 1810-1835 (2018) - [i14]Kailai Xu, Eric Darve:
Calibrating Lévy Process from Observations Based on Neural Networks and Automatic Differentiation with Convergence Proofs. CoRR abs/1812.08883 (2018) - 2017
- [j22]Toru Takahashi, Pieter Coulier, Eric Darve:
Application of the inverse fast multipole method as a preconditioner in a 3D Helmholtz boundary element method. J. Comput. Phys. 341: 406-428 (2017) - [j21]Pieter Coulier, Hadi Pouransari, Eric Darve:
The Inverse Fast Multipole Method: Using a Fast Approximate Direct Solver as a Preconditioner for Dense Linear Systems. SIAM J. Sci. Comput. 39(3) (2017) - [j20]Hadi Pouransari, Pieter Coulier, Eric Darve:
Fast Hierarchical Solvers For Sparse Matrices Using Extended Sparsification and Low-Rank Approximation. SIAM J. Sci. Comput. 39(3) (2017) - [c8]Gregoire Pichon, Eric Darve, Mathieu Faverge, Pierre Ramet, Jean Roman:
Sparse Supernodal Solver Using Block Low-Rank Compression. IPDPS Workshops 2017: 1138-1147 - [i13]Ruoxi Wang, Yingzhou Li, Eric Darve:
On the numerical rank of radial basis function kernel matrices in high dimension. CoRR abs/1706.07883 (2017) - [i12]Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve:
A distributed-memory hierarchical solver for general sparse linear systems. CoRR abs/1712.07297 (2017) - 2016
- [j19]Emmanuel Agullo, Bérenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi:
Task-based FMM for heterogeneous architectures. Concurr. Comput. Pract. Exp. 28(9): 2608-2629 (2016) - [j18]Amirhossein Aminfar, Sivaram Ambikasaran, Eric Darve:
A fast block low-rank dense solver with applications to finite-element matrices. J. Comput. Phys. 304: 170-188 (2016) - 2015
- [j17]Hadi Pouransari, Eric Darve:
Optimizing the Adaptive Fast Multipole Method for Fractal Sets. SIAM J. Sci. Comput. 37(2) (2015) - [i11]Jonathan Wong, Ellen Kuhl, Eric Darve:
A New Sparse Matrix Vector Multiplication GPU Algorithm Designed for Finite Element Problems. CoRR abs/1501.00324 (2015) - [i10]Ruoxi Wang, Yingzhou Li, Michael W. Mahoney, Eric Darve:
Structured Block Basis Factorization for Scalable Kernel Matrix Evaluation. CoRR abs/1505.00398 (2015) - [i9]Pieter Coulier, Hadi Pouransari, Eric Darve:
The inverse fast multipole method: using a fast approximate direct solver as a preconditioner for dense linear systems. CoRR abs/1508.01835 (2015) - [i8]Hadi Pouransari, Pieter Coulier, Eric Darve:
Fast hierarchical solvers for sparse matrices. CoRR abs/1510.07363 (2015) - 2014
- [j16]Badi Abdul-Wahid, Haoyun Feng, Dinesh Rajan, Ronan Costaouec, Eric Darve, Douglas Thain, Jesús A. Izaguirre:
AWE-WQ: Fast-Forwarding Molecular Dynamics Using the Accelerated Weighted Ensemble. J. Chem. Inf. Model. 54(10): 3033-3043 (2014) - [j15]Emmanuel Agullo, Bérenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi:
Task-Based FMM for Multicore Architectures. SIAM J. Sci. Comput. 36(1) (2014) - [j14]Pierre-David Létourneau, Cris Cecka, Eric Darve:
Cauchy Fast Multipole Method for General Analytic Kernels. SIAM J. Sci. Comput. 36(2) (2014) - [i7]Amirhossein Aminfar, Sivaram Ambikasaran, Eric Darve:
A Fast Block Low-Rank Dense Solver with Applications to Finite-Element Matrices. CoRR abs/1403.5337 (2014) - [i6]Judith Y. Li, Sivaram Ambikasaran, Eric Darve, Peter K. Kitanidis:
A Kalman filter powered by H2-matrices for quasi-continuous data assimilation problems. CoRR abs/1404.3816 (2014) - [i5]Sivaram Ambikasaran, Eric Darve:
The Inverse Fast Multipole Method. CoRR abs/1407.1572 (2014) - [i4]Amirhossein Aminfar, Eric Darve:
A Fast Sparse Solver for Finite-Element Matrices. CoRR abs/1410.2697 (2014) - 2013
- [j13]Song Li, W. Wu, Eric Darve:
A fast algorithm for sparse matrix computations related to inversion. J. Comput. Phys. 242: 915-945 (2013) - [j12]Song Li, W. Wu, Eric Darve:
Erratum to "A fast algorithm for sparse matrix computations related to inversion" [J. Comput. Physics 242 (2013) 915-945]. J. Comput. Phys. 251: 535-536 (2013) - [j11]Sivaram Ambikasaran, Eric Darve:
An O (N log N) Fast Direct Solver for Partial Hierarchically Semi-Separable Matrices - With Application to Radial Basis Function Interpolation. J. Sci. Comput. 57(3): 477-501 (2013) - [j10]Cris Cecka, Eric Darve:
Fourier-Based Fast Multipole Method for the Helmholtz Equation. SIAM J. Sci. Comput. 35(1) (2013) - 2012
- [j9]Song Li, Eric Darve:
Extension and optimization of the FIND algorithm: Computing Green's and less-than Green's functions. J. Comput. Phys. 231(4): 1121-1139 (2012) - [j8]Matthias Messner, Martin Schanz, Eric Darve:
Fast directional multilevel summation for oscillatory kernels based on Chebyshev interpolation. J. Comput. Phys. 231(4): 1175-1196 (2012) - [c7]Badi Abdul-Wahid, Li Yu, Dinesh Rajan, Haoyun Feng, Eric Darve, Douglas Thain, Jesús A. Izaguirre:
Folding proteins at 500 ns/hour with Work Queue. eScience 2012: 1-8 - [c6]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:
Abstract: Matrices Over Runtime Systems at Exascale. SC Companion 2012: 1330-1331 - [c5]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:
Poster: Matrices over Runtime Systems at Exascale. SC Companion 2012: 1332 - [i3]Emmanuel Agullo, Bérenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi:
Pipelining the Fast Multipole Method over a Runtime System. CoRR abs/1206.0115 (2012) - [i2]Matthias Messner, Bérenger Bramas, Olivier Coulaud, Eric Darve:
Optimized M2L Kernels for the Chebyshev Interpolation based Fast Multipole Method. CoRR abs/1210.7292 (2012) - 2011
- [c4]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:
Liszt: a domain specific language for building portable mesh-based PDE solvers. SC 2011: 9:1-9:12
2000 – 2009
- 2009
- [j7]Dan Erik Petersen, Song Li, Kurt Stokbro, Hans Henrik B. Sørensen, Per Christian Hansen, Stig Skelboe, Eric Darve:
A hybrid method for the parallel computation of Green's functions. J. Comput. Phys. 228(14): 5020-5039 (2009) - [j6]William Fong, Eric Darve:
The black-box fast multipole method. J. Comput. Phys. 228(23): 8712-8725 (2009) - 2008
- [j5]William Fong, Eric Darve, Adrian Lew:
Stability of asynchronous variational integrators. J. Comput. Phys. 227(18): 8367-8394 (2008) - [j4]Amirali Kia, Daejoong Kim, Eric Darve:
Fast electrostatic force calculation on parallel computer clusters. J. Comput. Phys. 227(19): 8551-8567 (2008) - [j3]Song Li, Shaikh S. Ahmed, Gerhard Klimeck, Eric Darve:
Computing entries of the inverse of a sparse matrix using the FIND algorithm. J. Comput. Phys. 227(22): 9408-9427 (2008) - [j2]Erich Elsen, Patrick LeGresley, Eric Darve:
Large calculation of the flow over a hypersonic vehicle using a GPU. J. Comput. Phys. 227(24): 10148-10161 (2008) - 2007
- [c3]William Fong, Eric Darve, Adrian Lew:
Stability of Asynchronous Variational Integrators. PADS 2007: 38-44 - [i1]Erich Elsen, Vaidyanathan Vishal, Mike Houston, Vijay S. Pande, Pat Hanrahan, Eric Darve:
N-Body Simulations on GPUs. CoRR abs/0706.3060 (2007) - 2006
- [c2]Erich Elsen, Mike Houston, Vaidyanathan Vishal, Eric Darve, Pat Hanrahan, Vijay S. Pande:
Poster reception - N-Body simulation on GPUs. SC 2006: 188 - 2004
- [c1]Mattan Erez, Jung Ho Ahn, Ankit Garg, William J. Dally, Eric Darve:
Analysis and Performance Results of a Molecular Modeling Application on Merrimac. SC 2004: 42 - 2000
- [j1]Eric Darve:
The Fast Multipole Method I: Error Analysis and Asymptotic Complexity. SIAM J. Numer. Anal. 38(1): 98-128 (2000)
Coauthor Index
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last updated on 2024-06-14 18:11 CEST by the dblp team
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