Edmond Chow

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 54

Top Topics

Unit Commitment

Parallel Architecture

Declarative Knowledge

Top Venues

SIAM J. Sci. Comput.

SIAM J. Matrix Anal. Appl.

Publications

Difeng Cai, Hua Huang, Edmond Chow, Yuanzhe Xi
Data-Driven Construction of Hierarchical Matrices With Nested Bases. SIAM J. Sci. Comput. 46 (2) (2024)
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
SPARC v2.0.0: Spin-orbit coupling, dispersion interactions, and advanced exchange-correlation functionals. Softw. Impacts 20 (2024)
Mikhail Khodak, Edmond Chow, Maria-Florina Balcan, Ameet Talwalkar
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances. ICLR (2024)
Shifan Zhao, Jiaying Lu, Carl Ji Yang, Edmond Chow, Yuanzhe Xi
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling. CoRR (2024)
Shifan Zhao, Tianshi Xu, Hua Huang, Edmond Chow, Yuanzhe Xi
An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices. SIAM J. Sci. Comput. 46 (4) (2024)
Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow
Differentially Private Decentralized Generator Maintenance and Operations for Power Networks. IEEE Trans. Control. Netw. Syst. 10 (2) (2023)
Mikhail Khodak, Edmond Chow, Maria-Florina Balcan, Ameet Talwalkar
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances. CoRR (2023)
Edmond Chow
Editorial. Int. J. High Perform. Comput. Appl. 37 (6) (2023)
Difeng Cai, Edmond Chow, Yuanzhe Xi
Data-driven linear complexity low-rank approximation of general kernel matrices: A geometric approach. Numer. Linear Algebra Appl. 30 (6) (2023)
Shifan Zhao, Tianshi Xu, Edmond Chow, Yuanzhe Xi
An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices. CoRR (2023)
Difeng Cai, Hua Huang, Edmond Chow, Yuanzhe Xi
Data-driven Construction of Hierarchical Matrices with Nested Bases. CoRR (2022)
Hua Huang, Edmond Chow
CA3DMM: A New Algorithm Based on a Unified View of Parallel Matrix Multiplication. SC (2022)
Yu-Hsiang Mike Tsai, Pratik Nayak, Edmond Chow, Hartwig Anzt
Implementing Asynchronous Jacobi Iteration on GPUs. ScalAH@SC (2022)
Difeng Cai, Edmond Chow, Yuanzhe Xi
Data-Driven Linear Complexity Low-Rank Approximation of General Kernel Matrices: A Geometric Approach. CoRR (2022)
Xin Xing, Hua Huang, Edmond Chow
A hierarchical matrix approach for computing hydrodynamic interactions. J. Comput. Phys. 448 (2022)
Xin Xing, Hua Huang, Edmond Chow
Matrices. SIAM J. Matrix Anal. Appl. 42 (2) (2021)
Qimen Xu, Abhiraj Sharma, Benjamin Comer, Hua Huang, Edmond Chow, Andrew J. Medford, John E. Pask, Phanish Suryanarayana
SPARC: Simulation Package for Ab-initio Real-space Calculations. SoftwareX 15 (2021)
Hua Huang, Xin Xing, Edmond Chow
Matrix Package for Kernel Matrices Using the Proxy Point Method. ACM Trans. Math. Softw. 47 (1) (2021)
Edmond Chow, Andreas Frommer, Daniel B. Szyld
Asynchronous Richardson iterations: theory and practice. Numer. Algorithms 87 (4) (2021)
Karan Sikka, Andrew Silberfarb, John Byrnes, Indranil Sur, Edmond Chow, Ajay Divakaran, Richard Rohwer
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks. CoRR (2020)
Christian A. Glusa, Erik G. Boman, Edmond Chow, Sivasankaran Rajamanickam, Daniel B. Szyld
Scalable Asynchronous Domain Decomposition Solvers. SIAM J. Sci. Comput. 42 (6) (2020)
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
Integrating Deep Learning in Domain Sciences at Exascale. CoRR (2020)
Florent Lopez, Edmond Chow, Stanimire Tomov, Jack J. Dongarra
Asynchronous SGD for DNN training on Shared-memory Parallel Architectures. IPDPS Workshops (2020)
Xin Xing, Edmond Chow
Fast Coulomb Matrix Construction via Compressing the Interactions Between Continuous Charge Distributions. SIAM J. Sci. Comput. 42 (1) (2020)
Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow
Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach. CoRR (2020)
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
Integrating Deep Learning in Domain Sciences at Exascale. SMC (2020)
Edmond Chow, Andreas Frommer, Daniel B. Szyld
Asynchronous Richardson iterations. CoRR (2020)
Xin Xing, Edmond Chow
Interpolative Decomposition via Proxy Points for Kernel Matrices. SIAM J. Matrix Anal. Appl. 41 (1) (2020)
Xin Xing, Hua Huang, Edmond Chow
matrices. CoRR (2020)
Lucas Erlandson, Difeng Cai, Yuanzhe Xi, Edmond Chow
Accelerating Parallel Hierarchical Matrix-Vector Products via Data-Driven Sampling. IPDPS (2020)
Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow
Decentralized and Secure Generation Maintenance with Differential Privacy. CoRR (2020)
Hartwig Anzt, Tobias Ribizel, Goran Flegar, Edmond Chow, Jack J. Dongarra
ParILUT - A Parallel Threshold ILU for GPUs. IPDPS (2019)
Jordi Wolfson-Pou, Edmond Chow
Asynchronous Multigrid Methods. IPDPS (2019)
Paritosh Ramanan, Murat Yildirim, Edmond Chow, Nagi Gebraeel
An Asynchronous, Decentralized Solution Framework for the Large Scale Unit Commitment Problem. CoRR (2019)
Ichitaro Yamazaki, Edmond Chow, Aurélien Bouteiller, Jack J. Dongarra
Performance of asynchronous optimized Schwarz with one-sided communication. Parallel Comput. 86 (2019)
Hua Huang, Edmond Chow
Overlapping Communications with Other Communications and Its Application to Distributed Dense Matrix Computations. IPDPS (2019)
Jordi Wolfson-Pou, Edmond Chow
Modeling the asynchronous Jacobi method without communication delays. J. Parallel Distributed Comput. 128 (2019)
Difeng Cai, Edmond Chow, Lucas Erlandson, Yousef Saad, Yuanzhe Xi
SMASH: Structured matrix approximation by separation and hierarchy. Numer. Linear Algebra Appl. 25 (6) (2018)
Hua Huang, Edmond Chow
Accelerating quantum chemistry with vectorized and batched integrals. SC (2018)
Hartwig Anzt, Edmond Chow, Jack J. Dongarra
ParILUT - A New Parallel Threshold ILU Factorization. SIAM J. Sci. Comput. 40 (4) (2018)
Jordi Wolfson-Pou, Edmond Chow
Convergence Models and Surprising Results for the Asynchronous Jacobi Method. IPDPS (2018)
Edmond Chow, Hartwig Anzt, Jennifer A. Scott, Jack J. Dongarra
Using Jacobi iterations and blocking for solving sparse triangular systems in incomplete factorization preconditioning. J. Parallel Distributed Comput. 119 (2018)
Christian A. Glusa, Paritosh Ramanan, Erik G. Boman, Edmond Chow, Sivasankaran Rajamanickam
Asynchronous One-Level and Two-Level Domain Decomposition Solvers. CoRR (2018)
Xin Xing, Edmond Chow
Preserving Positive Definiteness in Hierarchically Semiseparable Matrix Approximations. SIAM J. Matrix Anal. Appl. 39 (2) (2018)
Jordi Wolfson-Pou, Edmond Chow
Distributed southwell: an iterative method with low communication costs. SC (2017)
Rachel Levy, Edmond Chow, Byong Kwon, Katherine Socha, Maeve McCarthy, Peter R. Turner
SIAM Education Subcommittee Report on Undergraduate Degree Programs in Applied Mathematics. SIAM Rev. 59 (1) (2017)
Goutham Kamath, Lei Shi, Edmond Chow, Wen-Zhan Song
Distributed tomography with adaptive mesh refinement in sensor networks. Int. J. Sens. Networks 23 (1) (2017)
Evan Coleman, Masha Sosonkina, Edmond Chow
Fault tolerant variants of the fine-grained parallel incomplete LU factorization. SpringSim (HPC) (2017)
Paritosh Ramanan, Murat Yildirim, Edmond Chow, Nagi Gebraeel
Asynchronous Decentralized Framework for Unit Commitment in Power Systems. ICCS (2017)
Hartwig Anzt, Edmond Chow, Thomas Huckle, Jack J. Dongarra
Batched Generation of Incomplete Sparse Approximate Inverses on GPUs. ScalA@SC (2016)
Jordi Wolfson-Pou, Edmond Chow
Reducing Communication in Distributed Asynchronous Iterative Methods. ICCS (2016)
Edmond Chow, Xing Liu, Sanchit Misra, Marat Dukhan, Mikhail Smelyanskiy, Jeff R. Hammond, Yunfei Du, Xiangke Liao, Pradeep Dubey
Scaling up Hartree-Fock calculations on Tianhe-2. Int. J. High Perform. Comput. Appl. 30 (1) (2016)
Hartwig Anzt, Edmond Chow, Jens Saak, Jack J. Dongarra
Updating incomplete factorization preconditioners for model order reduction. Numer. Algorithms 73 (3) (2016)
Benjamin P. Pritchard, Edmond Chow
Horizontal vectorization of electron repulsion integrals. J. Comput. Chem. 37 (28) (2016)
Goutham Kamath, Lei Shi, Edmond Chow, Wen-Zhan Song
Distributed Multigrid Technique for Seismic Tomography in Sensor Networks. BigCom (2015)
John Murray, Edmond Chow, Christopher Connolly
Something In The Way We Move: Quantifying patterns of exploration in virtual spaces. FDG (2015)
Hartwig Anzt, Edmond Chow, Jack J. Dongarra
Iterative Sparse Triangular Solves for Preconditioning. Euro-Par (2015)
Edmond Chow, Hartwig Anzt, Jack J. Dongarra
Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs. ISC (2015)
Edmond Chow, Aftab Patel
Fine-Grained Parallel Incomplete LU Factorization. SIAM J. Sci. Comput. 37 (2) (2015)
Xiangyu Guo, Xing Liu, Peng Xu, Zhihui Du, Edmond Chow
Efficient Particle-mesh Spreading on GPUs. ICCS (2015)
Kiran Pamnany, Sanchit Misra, Md. Vasimuddin, Xing Liu, Edmond Chow, Srinivas Aluru
Dtree: Dynamic Task Scheduling at Petascale. ISC (2015)
Edmond Chow, Yousef Saad
Preconditioned Krylov Subspace Methods for Sampling Multivariate Gaussian Distributions. SIAM J. Sci. Comput. 36 (2) (2014)
Xing Liu, Edmond Chow
Large-Scale Hydrodynamic Brownian Simulations on Multicore and Manycore Architectures. IPDPS (2014)
M. Graham Lopez, Mitchel D. Horton, Edmond Chow
Large-scale Hydrodynamic Brownian Simulations on Multicore and GPU Architectures. XSEDE (2014)
Xing Liu, Aftab Patel, Edmond Chow
A New Scalable Parallel Algorithm for Fock Matrix Construction. IPDPS (2014)
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
Extending the Generality of Molecular Dynamics Simulations on a Special-Purpose Machine. IPDPS (2013)
Xing Liu, Mikhail Smelyanskiy, Edmond Chow, Pradeep Dubey
Efficient sparse matrix-vector multiplication on x86-based many-core processors. ICS (2013)
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
Detecting insider threats in a real corporate database of computer usage activity. KDD (2013)
Xing Liu, Edmond Chow, Karthikeyan Vaidyanathan, Mikhail Smelyanskiy
Improving the Performance of Dynamical Simulations Via Multiple Right-Hand Sides. IPDPS (2012)
Zhichen Xia, Chris H. Q. Ding, Edmond Chow
Robust Kernel Nonnegative Matrix Factorization. ICDM Workshops (2012)
William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray
Optimizing the computation of n-point correlations on large-scale astronomical data. SC (2012)
Massimiliano Ferronato, Edmond Chow, Kok-Kwang Phoon
Preconditioning Techniques for Sparse Linear Systems. J. Appl. Math. 2012 (2012)
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
Overcoming Communication Latency Barriers in Massively Parallel Scientific Computation. IEEE Micro 31 (3) (2011)
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
Exploiting 162-Nanosecond End-to-End Communication Latency on Anton. SC (2010)
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
Millisecond-scale molecular dynamics simulations on Anton. SC (2009)
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
Millisecond-scale molecular dynamics simulations on Anton. SC (2009)
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
BlueGene/L applications: Parallelism On a Massive Scale. Int. J. High Perform. Comput. Appl. 22 (1) (2008)
Edmond Chow
An Aggregation Multilevel Method Using Smooth Error Vectors. SIAM J. Sci. Comput. 27 (5) (2006)
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
Molecular dynamics - Scalable algorithms for molecular dynamics simulations on commodity clusters. SC (2006)
Marc Barthelemy, Edmond Chow, Tina Eliassi-Rad
Knowledge Representation Issues in Semantic Graphs for Relationship Detection. AAAI Spring Symposium: AI Technologies for Homeland Security (2005)
Andy Yoo, Edmond Chow, Keith W. Henderson, Will McLendon III, Bruce Hendrickson, Ümit V. Çatalyürek
A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L. SC (2005)
Marc Barthelemy, Edmond Chow, Tina Eliassi-Rad
Knowledge Representation Issues in Semantic Graphs for Relationship Detection CoRR (2005)
Dayne Freitag, Matthias Blume, John Byrnes, Edmond Chow, Sadik Kapadia, Richard Rohwer, Zhiqiang Wang
New Experiments in Distributional Representations of Synonymy. CoNLL (2005)
Edmond Chow
An unstructured multigrid method based on geometric smoothness. Numer. Linear Algebra Appl. 10 (5-6) (2003)
Edmond Chow, Panayot S. Vassilevski
Multilevel block factorizations in generalized hierarchical bases. Numer. Linear Algebra Appl. 10 (1-2) (2003)
Na Li, Yousef Saad, Edmond Chow
Crout Versions of ILU for General Sparse Matrices. SIAM J. Sci. Comput. 25 (2) (2003)
Edmond Chow
Parallel Implementation and Practical Use of Sparse Approximate Inverse Preconditioners with a Priori Sparsity Patterns. Int. J. High Perform. Comput. Appl. 15 (1) (2001)
Edmond Chow
A Priori Sparsity Patterns for Parallel Sparse Approximate Inverse Preconditioners. SIAM J. Sci. Comput. 21 (5) (2000)
Edmond Chow
A Scalable Parallel Computation of Sparse Approximate Inverse Preconditioners. PPSC (1999)
Edmond Chow, Yousef Saad
Approximate Inverse Preconditioners via Sparse-Sparse Iterations. SIAM J. Sci. Comput. 19 (3) (1998)
Tony F. Chan, Edmond Chow, Yousef Saad, Man-Chung Yeung
Preserving Symmetry in Preconditioned Krylov Subspace Methods. SIAM J. Sci. Comput. 20 (2) (1998)
Edmond Chow, Michael A. Heroux
An Object-Oriented Framework for Block Preconditioning. ACM Trans. Math. Softw. 24 (2) (1998)
Edmond Chow, Yousef Saad
Approximate Inverse Techniques for Block-Partitioned Matrices. SIAM J. Sci. Comput. 18 (6) (1997)
Edmond Chow, Yousef Saad
Parallel Approximate Inverse Preconditioners. PPSC (1997)