Edmond Chow - RankMe

109 papers A* 2A 20B 2C 3Misc 3Journal 66Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HiGP: A high-performance Python package for Gaussian Processes. J. Open Source Softw. Hua Huang, Tianshi Xu, Yuanzhe Xi, Edmond Chow
2026	J	`jnl`	Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop. CoRR Noah Amsel, Yves Baumann, Paul Beckman, Peter Bürgisser, Chris Camaño, Tyler Chen, Edmond Chow, Anil Damle, Michal Derezinski, Mark Embree, Ethan N. Epperly, Robert D. Falgout, Mark Fornace, Anne Greenbaum, Chen Greif, Diana Halikias, Zhen Huang, Elias Jarlebring, Yiannis Koutis, Daniel Kressner, Rasmus Kyng, Jörg Liesen, Jackie Lok, Raphael A. Meyer, Yuji Nakatsukasa, Kate Pearce, Richard Peng, David Persson, Elizaveta Rebrova, Ryan Schneider, Rikhav Shah, Edgar Solomonik, Nikhil Srivastava, Alex Townsend, Robert J. Webber, Jess Williams
2026	J	`jnl`	\({\mathcal{H}^{2}}\)-MG: A Multigrid Method for Hierarchical Rank Structured Matrices. SIAM J. Sci. Comput. Daria Sushnikova, George Turkiyyah, Edmond Chow, David E. Keyes
2025	J	`jnl`	H2-MG: A multigrid method for hierarchical rank structured matrices. CoRR Daria Sushnikova, George Turkiyyah, Edmond Chow, David E. Keyes
2025	J	`jnl`	HiGP: A high-performance Python package for Gaussian Process. CoRR Hua Huang, Tianshi Xu, Yuanzhe Xi, Edmond Chow
2025	J	`jnl`	PCGBandit: One-shot acceleration of transient PDE solvers via online-learned preconditioners. CoRR Mikhail Khodak, Min Ki Jung, Brian Wynne, Edmond Chow, Egemen Kolemen
2025	J	`jnl`	Posterior Covariance Structures in Gaussian Processes. SIAM J. Matrix Anal. Appl. Difeng Cai, Edmond Chow, Yuanzhe Xi
2025	J	`jnl`	Preconditioned Truncated Single-Sample Estimators for Scalable Stochastic Optimization. CoRR Tianshi Xu, Difeng Cai, Hua Huang, Edmond Chow, Yuanzhe Xi
2025	J	`jnl`	Seismic Monitoring of CO₂ Plume Dynamics Using Ensemble Kalman Filtering. IEEE Trans. Geosci. Remote. Sens. Grant Bruer, Abhinav Prakash Gahlot, Edmond Chow, Felix J. Herrmann
2025	J	`jnl`	smashGP: Large-Scale Spatial Modeling via Matrix-Free Gaussian Processes. J. Comput. Graph. Stat. Lucas Erlandson, Ana María Estrada Gómez, Edmond Chow, Kamran Paynabar
2024	J	`jnl`	An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices. SIAM J. Sci. Comput. Shifan Zhao, Tianshi Xu, Hua Huang, Edmond Chow, Yuanzhe Xi
2024	J	`jnl`	Data-Driven Construction of Hierarchical Matrices With Nested Bases. SIAM J. Sci. Comput. Difeng Cai, Hua Huang, Edmond Chow, Yuanzhe Xi
2024	J	`jnl`	Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling. CoRR Shifan Zhao, Jiaying Lu, Carl Ji Yang, Edmond Chow, Yuanzhe Xi
2024	J	`jnl`	Exploring the Design Space of Distributed Parallel Sparse Matrix-Multiple Vector Multiplication. IEEE Trans. Parallel Distributed Syst. Hua Huang, Edmond Chow
2024	A*	`conf`	Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances. ICLR Mikhail Khodak, Edmond Chow, Maria-Florina Balcan, Ameet Talwalkar
2024	A	`conf`	Many-Body Electronic Correlation Energy using Krylov Subspace Linear Solvers. SC Shikhar Shah, Boqin Zhang, Hua Huang, John E. Pask, Phanish Suryanarayana, Edmond Chow
2024	J	`jnl`	Posterior Covariance Structures in Gaussian Processes. CoRR Difeng Cai, Edmond Chow, Yuanzhe Xi
2024	J	`jnl`	SPARC v2.0.0: Spin-orbit coupling, dispersion interactions, and advanced exchange-correlation functionals. Softw. Impacts Boqin Zhang, Xin Jing, Qimen Xu, Shashikant Kumar, Abhiraj Sharma, Lucas Erlandson, Sushree Jagriti Sahoo, Edmond Chow, Andrew J. Medford, John E. Pask, Phanish Suryanarayana
2023	J	`jnl`	An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices. CoRR Shifan Zhao, Tianshi Xu, Edmond Chow, Yuanzhe Xi
2023	J	`jnl`	Data-driven linear complexity low-rank approximation of general kernel matrices: A geometric approach. Numer. Linear Algebra Appl. Difeng Cai, Edmond Chow, Yuanzhe Xi
2023	J	`jnl`	Differentially Private Decentralized Generator Maintenance and Operations for Power Networks. IEEE Trans. Control. Netw. Syst. Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow
2023	J	`jnl`	Editorial. Int. J. High Perform. Comput. Appl. Edmond Chow
2023	J	`jnl`	Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances. CoRR Mikhail Khodak, Edmond Chow, Maria-Florina Balcan, Ameet Talwalkar
2022	J	`jnl`	A hierarchical matrix approach for computing hydrodynamic interactions. J. Comput. Phys. Xin Xing, Hua Huang, Edmond Chow
2022	A	`conf`	CA3DMM: A New Algorithm Based on a Unified View of Parallel Matrix Multiplication. SC Hua Huang, Edmond Chow
2022	J	`jnl`	Data-Driven Linear Complexity Low-Rank Approximation of General Kernel Matrices: A Geometric Approach. CoRR Difeng Cai, Edmond Chow, Yuanzhe Xi
2022	J	`jnl`	Data-driven Construction of Hierarchical Matrices with Nested Bases. CoRR Difeng Cai, Hua Huang, Edmond Chow, Yuanzhe Xi
2022	—	`conf`	Implementing Asynchronous Jacobi Iteration on GPUs. ScalAH@SC Yu-Hsiang Mike Tsai, Pratik Nayak, Edmond Chow, Hartwig Anzt
2021	J	`jnl`	Asynchronous Richardson iterations: theory and practice. Numer. Algorithms Edmond Chow, Andreas Frommer, Daniel B. Szyld
2021	J	`jnl`	Efficient Construction of an HSS Preconditioner for Symmetric Positive Definite ℋ SIAM J. Matrix Anal. Appl. Xin Xing, Hua Huang, Edmond Chow
2021	J	`jnl`	H2Pack: High-performance ACM Trans. Math. Softw. Hua Huang, Xin Xing, Edmond Chow
2021	J	`jnl`	SPARC: Simulation Package for Ab-initio Real-space Calculations. SoftwareX Qimen Xu, Abhiraj Sharma, Benjamin M. Comer, Hua Huang, Edmond Chow, Andrew J. Medford, John E. Pask, Phanish Suryanarayana
2020	A	`conf`	Accelerating Parallel Hierarchical Matrix-Vector Products via Data-Driven Sampling. IPDPS Lucas Erlandson, Difeng Cai, Yuanzhe Xi, Edmond Chow
2020	J	`jnl`	Asynchronous Richardson iterations. CoRR Edmond Chow, Andreas Frommer, Daniel B. Szyld
2020	—	`conf`	Asynchronous SGD for DNN training on Shared-memory Parallel Architectures. IPDPS Workshops Florent Lopez, Edmond Chow, Stanimire Tomov, Jack J. Dongarra
2020	J	`jnl`	Decentralized and Secure Generation Maintenance with Differential Privacy. CoRR Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow
2020	J	`jnl`	Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks. CoRR Karan Sikka, Andrew Silberfarb, John Byrnes, Indranil Sur, Edmond Chow, Ajay Divakaran, Richard Rohwer
2020	J	`jnl`	Efficient construction of an HSS preconditioner for symmetric positive definite H CoRR Xin Xing, Hua Huang, Edmond Chow
2020	J	`jnl`	Fast Coulomb Matrix Construction via Compressing the Interactions Between Continuous Charge Distributions. SIAM J. Sci. Comput. Xin Xing, Edmond Chow
2020	B	`conf`	Integrating Deep Learning in Domain Sciences at Exascale. SMC Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin
2020	J	`jnl`	Integrating Deep Learning in Domain Sciences at Exascale. CoRR Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin
2020	J	`jnl`	Interpolative Decomposition via Proxy Points for Kernel Matrices. SIAM J. Matrix Anal. Appl. Xin Xing, Edmond Chow
2020	J	`jnl`	Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach. CoRR Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow
2020	J	`jnl`	Scalable Asynchronous Domain Decomposition Solvers. SIAM J. Sci. Comput. Christian Glusa, Erik G. Boman, Edmond Chow, Sivasankaran Rajamanickam, Daniel B. Szyld
2019	J	`jnl`	An Asynchronous, Decentralized Solution Framework for the Large Scale Unit Commitment Problem. CoRR Paritosh Ramanan, Murat Yildirim, Edmond Chow, Nagi Gebraeel
2019	A	`conf`	Asynchronous Multigrid Methods. IPDPS Jordi Wolfson-Pou, Edmond Chow
2019	J	`jnl`	Modeling the asynchronous Jacobi method without communication delays. J. Parallel Distributed Comput. Jordi Wolfson-Pou, Edmond Chow
2019	A	`conf`	Overlapping Communications with Other Communications and Its Application to Distributed Dense Matrix Computations. IPDPS Hua Huang, Edmond Chow
2019	A	`conf`	ParILUT - A Parallel Threshold ILU for GPUs. IPDPS Hartwig Anzt, Tobias Ribizel, Goran Flegar, Edmond Chow, Jack J. Dongarra
2019	J	`jnl`	Performance of asynchronous optimized Schwarz with one-sided communication. Parallel Comput. Ichitaro Yamazaki, Edmond Chow, Aurélien Bouteiller, Jack J. Dongarra
2018	A	`conf`	Accelerating quantum chemistry with vectorized and batched integrals. SC Hua Huang, Edmond Chow
2018	J	`jnl`	Asynchronous One-Level and Two-Level Domain Decomposition Solvers. CoRR Christian A. Glusa, Paritosh Ramanan, Erik G. Boman, Edmond Chow, Sivasankaran Rajamanickam
2018	A	`conf`	Convergence Models and Surprising Results for the Asynchronous Jacobi Method. IPDPS Jordi Wolfson-Pou, Edmond Chow
2018	J	`jnl`	ParILUT - A New Parallel Threshold ILU Factorization. SIAM J. Sci. Comput. Hartwig Anzt, Edmond Chow, Jack J. Dongarra
2018	J	`jnl`	Preserving Positive Definiteness in Hierarchically Semiseparable Matrix Approximations. SIAM J. Matrix Anal. Appl. Xin Xing, Edmond Chow
2018	J	`jnl`	SMASH: Structured matrix approximation by separation and hierarchy. Numer. Linear Algebra Appl. Difeng Cai, Edmond Chow, Lucas Erlandson, Yousef Saad, Yuanzhe Xi
2018	J	`jnl`	Using Jacobi iterations and blocking for solving sparse triangular systems in incomplete factorization preconditioning. J. Parallel Distributed Comput. Edmond Chow, Hartwig Anzt, Jennifer A. Scott, Jack J. Dongarra
2017	Misc	`conf`	Asynchronous Decentralized Framework for Unit Commitment in Power Systems. ICCS Paritosh Ramanan, Murat Yildirim, Edmond Chow, Nagi Gebraeel
2017	A	`conf`	Distributed southwell: an iterative method with low communication costs. SC Jordi Wolfson-Pou, Edmond Chow
2017	J	`jnl`	Distributed tomography with adaptive mesh refinement in sensor networks. Int. J. Sens. Networks Goutham Kamath, Lei Shi, Edmond Chow, Wen-Zhan Song
2017	—	`conf`	Fault tolerant variants of the fine-grained parallel incomplete LU factorization. SpringSim (HPC) Evan Coleman, Masha Sosonkina, Edmond Chow
2017	J	`jnl`	SIAM Education Subcommittee Report on Undergraduate Degree Programs in Applied Mathematics. SIAM Rev. Rachel Levy, Edmond Chow, Byong Kwon, Katherine Socha, Maeve McCarthy, Peter R. Turner
2016	—	`conf`	Batched Generation of Incomplete Sparse Approximate Inverses on GPUs. ScalA@SC Hartwig Anzt, Edmond Chow, Thomas Huckle, Jack J. Dongarra
2016	—	`ch.`	Domain Overlap for Iterative Sparse Triangular Solves on GPUs. Software for Exascale Computing Hartwig Anzt, Edmond Chow, Daniel B. Szyld, Jack J. Dongarra
2016	J	`jnl`	Horizontal vectorization of electron repulsion integrals. J. Comput. Chem. Benjamin P. Pritchard, Edmond Chow
2016	Misc	`conf`	Reducing Communication in Distributed Asynchronous Iterative Methods. ICCS Jordi Wolfson-Pou, Edmond Chow
2016	J	`jnl`	Scaling up Hartree-Fock calculations on Tianhe-2. Int. J. High Perform. Comput. Appl. Edmond Chow, Xing Liu, Sanchit Misra, Marat Dukhan, Mikhail Smelyanskiy, Jeff R. Hammond, Yunfei Du, Xiangke Liao, Pradeep Dubey
2016	J	`jnl`	Updating incomplete factorization preconditioners for model order reduction. Numer. Algorithms Hartwig Anzt, Edmond Chow, Jens Saak, Jack J. Dongarra
2015	C	`conf`	Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs. ISC Edmond Chow, Hartwig Anzt, Jack J. Dongarra
2015	—	`conf`	Distributed Multigrid Technique for Seismic Tomography in Sensor Networks. BigCom Goutham Kamath, Lei Shi, Edmond Chow, Wen-Zhan Song
2015	C	`conf`	Dtree: Dynamic Task Scheduling at Petascale. ISC Kiran Pamnany, Sanchit Misra, Md. Vasimuddin, Xing Liu, Edmond Chow, Srinivas Aluru
2015	Misc	`conf`	Efficient Particle-mesh Spreading on GPUs. ICCS Xiangyu Guo, Xing Liu, Peng Xu, Zhihui Du, Edmond Chow
2015	J	`jnl`	Fine-Grained Parallel Incomplete LU Factorization. SIAM J. Sci. Comput. Edmond Chow, Aftab Patel
2015	—	`conf`	Iterative Sparse Triangular Solves for Preconditioning. Euro-Par Hartwig Anzt, Edmond Chow, Jack J. Dongarra
2015	C	`conf`	Something In The Way We Move: Quantifying patterns of exploration in virtual spaces. FDG John Murray, Edmond Chow, Christopher Connolly
2014	A	`conf`	A New Scalable Parallel Algorithm for Fock Matrix Construction. IPDPS Xing Liu, Aftab Patel, Edmond Chow
2014	A	`conf`	Large-Scale Hydrodynamic Brownian Simulations on Multicore and Manycore Architectures. IPDPS Xing Liu, Edmond Chow
2014	—	`conf`	Large-scale Hydrodynamic Brownian Simulations on Multicore and GPU Architectures. XSEDE M. Graham Lopez, Mitchel D. Horton, Edmond Chow
2014	J	`jnl`	Preconditioned Krylov Subspace Methods for Sampling Multivariate Gaussian Distributions. SIAM J. Sci. Comput. Edmond Chow, Yousef Saad
2013	A*	`conf`	Detecting insider threats in a real corporate database of computer usage activity. KDD Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel D. Corkill, Lisa Friedland, Amanda Gentzel, David D. Jensen
2013	A	`conf`	Efficient sparse matrix-vector multiplication on x86-based many-core processors. ICS Xing Liu, Mikhail Smelyanskiy, Edmond Chow, Pradeep Dubey
2013	A	`conf`	Extending the Generality of Molecular Dynamics Simulations on a Special-Purpose Machine. IPDPS Daniele Paolo Scarpazza, Douglas J. Ierardi, Adam K. Lerer, Kenneth M. Mackenzie, Albert C. Pan, Joseph A. Bank, Edmond Chow, Ron O. Dror, J. P. Grossman, Daniel Killebrew, Mark A. Moraes, Cristian Predescu, John K. Salmon, David E. Shaw
2012	A	`conf`	Improving the Performance of Dynamical Simulations Via Multiple Right-Hand Sides. IPDPS Xing Liu, Edmond Chow, Karthikeyan Vaidyanathan, Mikhail Smelyanskiy
2012	A	`conf`	Optimizing the computation of n-point correlations on large-scale astronomical data. SC William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray
2012	J	`jnl`	Preconditioning Techniques for Sparse Linear Systems. J. Appl. Math. Massimiliano Ferronato, Edmond Chow, Kok-Kwang Phoon
2012	—	`conf`	Robust Kernel Nonnegative Matrix Factorization. ICDM Workshops Zhichen Xia, Chris H. Q. Ding, Edmond Chow
2011	J	`jnl`	Overcoming Communication Latency Barriers in Massively Parallel Scientific Computation. IEEE Micro Ron O. Dror, J. P. Grossman, Kenneth M. Mackenzie, Brian Towles, Edmond Chow, John K. Salmon, Cliff Young, Joseph A. Bank, Brannon Batson, Martin M. Deneroff, Jeffrey Kuskin, Richard H. Larson, Mark A. Moraes, David E. Shaw
2010	A	`conf`	Exploiting 162-Nanosecond End-to-End Communication Latency on Anton. SC Ron O. Dror, J. P. Grossman, Kenneth M. Mackenzie, Brian Towles, Edmond Chow, John K. Salmon, Cliff Young, Joseph A. Bank, Brannon Batson, Martin M. Deneroff, Jeffrey Kuskin, Richard H. Larson, Mark A. Moraes, David E. Shaw
2009	A	`conf`	Millisecond-scale molecular dynamics simulations on Anton. SC David E. Shaw, Ron O. Dror, John K. Salmon, J. P. Grossman, Kenneth M. Mackenzie, Joseph A. Bank, Cliff Young, Martin M. Deneroff, Brannon Batson, Kevin J. Bowers, Edmond Chow, Michael P. Eastwood, Doug Ierardi, John L. Klepeis, Jeffrey Kuskin, Richard H. Larson, Kresten Lindorff-Larsen, Paul Maragakis, Mark A. Moraes, Stefano Piana, Yibing Shan, Brian Towles
2009	A	`conf`	Millisecond-scale molecular dynamics simulations on Anton. SC David E. Shaw, Ron O. Dror, John K. Salmon, J. P. Grossman, Kenneth M. Mackenzie, Joseph A. Bank, Cliff Young, Martin M. Deneroff, Brannon Batson, Kevin J. Bowers, Edmond Chow, Michael P. Eastwood, Doug Ierardi, John L. Klepeis, Jeffrey Kuskin, Richard H. Larson, Kresten Lindorff-Larsen, Paul Maragakis, Mark A. Moraes, Stefano Piana, Yibing Shan, Brian Towles
2008	J	`jnl`	BlueGene/L applications: Parallelism On a Massive Scale. Int. J. High Perform. Comput. Appl. Bronis R. de Supinski, Martin Schulz, Vasily V. Bulatov, William H. Cabot, Bor Chan, Andrew W. Cook, Erik W. Draeger, James N. Glosli, Jeffrey A. Greenough, Keith W. Henderson, Alison Kubota, Steve Louis, Brian J. Miller, Mehul V. Patel, Thomas E. Spelce, Frederick H. Streitz, Peter L. Williams, Robert K. Yates, Andy Yoo, George Almási, Gyan Bhanot, Alan Gara, John A. Gunnels, Manish Gupta, José E. Moreira, James C. Sexton, Robert Walkup, Charles Archer, François Gygi, Timothy C. Germann, Kai Kadau, Peter S. Lomdahl, Charles A. Rendleman, Michael L. Welcome, William McLendon, Bruce Hendrickson, Franz Franchetti, Stefan Kral, Juergen Lorenz, Christoph W. Überhuber, Edmond Chow, Ümit V. Çatalyürek
2006	—	`ch.`	A Survey of Parallelization Techniques for Multigrid Solvers. Parallel Processing for Scientific Computing Edmond Chow, Robert D. Falgout, Jonathan J. Hu, Raymond S. Tuminaro, Ulrike Meier Yang
2006	J	`jnl`	An Aggregation Multilevel Method Using Smooth Error Vectors. SIAM J. Sci. Comput. Edmond Chow
2006	A	`conf`	Molecular dynamics - Scalable algorithms for molecular dynamics simulations on commodity clusters. SC Kevin J. Bowers, Edmond Chow, Huafeng Xu, Ron O. Dror, Michael P. Eastwood, Brent A. Gregersen, John L. Klepeis, István Kolossváry, Mark A. Moraes, Federico D. Sacerdoti, John K. Salmon, Yibing Shan, David E. Shaw
2005	A	`conf`	A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L. SC Andy Yoo, Edmond Chow, Keith W. Henderson, Will McLendon III, Bruce Hendrickson, Ümit V. Çatalyürek
2005	J	`jnl`	Knowledge Representation Issues in Semantic Graphs for Relationship Detection CoRR Marc Barthelemy, Edmond Chow, Tina Eliassi-Rad
2005	—	`conf`	Knowledge Representation Issues in Semantic Graphs for Relationship Detection. AAAI Spring Symposium: AI Technologies for Homeland Security Marc Barthelemy, Edmond Chow, Tina Eliassi-Rad
2005	B	`conf`	New Experiments in Distributional Representations of Synonymy. CoNLL Dayne Freitag, Matthias Blume, John Byrnes, Edmond Chow, Sadik Kapadia, Richard Rohwer, Zhiqiang Wang
2003	J	`jnl`	An unstructured multigrid method based on geometric smoothness. Numer. Linear Algebra Appl. Edmond Chow
2003	J	`jnl`	Crout Versions of ILU for General Sparse Matrices. SIAM J. Sci. Comput. Na Li, Yousef Saad, Edmond Chow
2003	J	`jnl`	Multilevel block factorizations in generalized hierarchical bases. Numer. Linear Algebra Appl. Edmond Chow, Panayot S. Vassilevski
2001	J	`jnl`	Parallel Implementation and Practical Use of Sparse Approximate Inverse Preconditioners with a Priori Sparsity Patterns. Int. J. High Perform. Comput. Appl. Edmond Chow
2000	J	`jnl`	A Priori Sparsity Patterns for Parallel Sparse Approximate Inverse Preconditioners. SIAM J. Sci. Comput. Edmond Chow
1999	—	`conf`	A Scalable Parallel Computation of Sparse Approximate Inverse Preconditioners. PP Edmond Chow
1998	J	`jnl`	An Object-Oriented Framework for Block Preconditioning. ACM Trans. Math. Softw. Edmond Chow, Michael A. Heroux
1998	J	`jnl`	Approximate Inverse Preconditioners via Sparse-Sparse Iterations. SIAM J. Sci. Comput. Edmond Chow, Yousef Saad
1998	J	`jnl`	Preserving Symmetry in Preconditioned Krylov Subspace Methods. SIAM J. Sci. Comput. Tony F. Chan, Edmond Chow, Yousef Saad, Man-Chung Yeung
1997	J	`jnl`	Approximate Inverse Techniques for Block-Partitioned Matrices. SIAM J. Sci. Comput. Edmond Chow, Yousef Saad
1997	—	`conf`	Parallel Approximate Inverse Preconditioners. PP Edmond Chow, Yousef Saad