Edmond Chow

According to our database, Edmond Chow authored at least 92 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Exploring the Design Space of Distributed Parallel Sparse Matrix-Multiple Vector Multiplication.

Hua Huang, Edmond Chow

IEEE Trans. Parallel Distributed Syst., 2024

SPARC v2.0.0: Spin-orbit coupling, dispersion interactions, and advanced exchange-correlation functionals.

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

Softw. Impacts, 2024

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices.

Shifan Zhao, Tianshi Xu, Hua Huang, Edmond Chow, Yuanzhe Xi

SIAM J. Sci. Comput., 2024

Data-Driven Construction of Hierarchical Matrices With Nested Bases.

Difeng Cai, Hua Huang, Edmond Chow, Yuanzhe Xi

SIAM J. Sci. Comput., 2024

Posterior Covariance Structures in Gaussian Processes.

Difeng Cai, Edmond Chow, Yuanzhe Xi

CoRR, 2024

Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling.

Shifan Zhao, Jiaying Lu, Carl Ji Yang, Edmond Chow, Yuanzhe Xi

CoRR, 2024

Many-Body Electronic Correlation Energy using Krylov Subspace Linear Solvers.

Shikhar Shah, Boqin Zhang, Hua Huang, John E. Pask, Phanish Suryanarayana, Edmond Chow

Proceedings of the International Conference for High Performance Computing, 2024

Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances.

Mikhail Khodak, Edmond Chow, Maria-Florina Balcan, Ameet Talwalkar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Data-driven linear complexity low-rank approximation of general kernel matrices: A geometric approach.

Difeng Cai, Edmond Chow, Yuanzhe Xi

Numer. Linear Algebra Appl., December, 2023

Editorial.

Edmond Chow

Int. J. High Perform. Comput. Appl., November, 2023

Differentially Private Decentralized Generator Maintenance and Operations for Power Networks.

Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow

IEEE Trans. Control. Netw. Syst., June, 2023

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices.

Shifan Zhao, Tianshi Xu, Edmond Chow, Yuanzhe Xi

CoRR, 2023

2022

A hierarchical matrix approach for computing hydrodynamic interactions.

Xin Xing, Hua Huang, Edmond Chow

J. Comput. Phys., 2022

Implementing Asynchronous Jacobi Iteration on GPUs.

Yu-Hsiang Mike Tsai, Pratik Nayak, Edmond Chow, Hartwig Anzt

Proceedings of the IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems, 2022

CA3DMM: A New Algorithm Based on a Unified View of Parallel Matrix Multiplication.

Hua Huang, Edmond Chow

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

H2Pack: High-performance <i>H</i>² Matrix Package for Kernel Matrices Using the Proxy Point Method.

Hua Huang, Xin Xing, Edmond Chow

ACM Trans. Math. Softw., 2021

SPARC: Simulation Package for Ab-initio Real-space Calculations.

Qimen Xu, Abhiraj Sharma, Benjamin M. Comer, Hua Huang, Edmond Chow, Andrew J. Medford, John E. Pask, Phanish Suryanarayana

SoftwareX, 2021

Efficient Construction of an HSS Preconditioner for Symmetric Positive Definite ℋ² Matrices.

Xin Xing, Hua Huang, Edmond Chow

SIAM J. Matrix Anal. Appl., 2021

Asynchronous Richardson iterations: theory and practice.

Edmond Chow, Andreas Frommer, Daniel B. Szyld

Numer. Algorithms, 2021

2020

Fast Coulomb Matrix Construction via Compressing the Interactions Between Continuous Charge Distributions.

Xin Xing, Edmond Chow

SIAM J. Sci. Comput., 2020

Scalable Asynchronous Domain Decomposition Solvers.

Christian Glusa, Erik G. Boman, Edmond Chow, Sivasankaran Rajamanickam, Daniel B. Szyld

SIAM J. Sci. Comput., 2020

Interpolative Decomposition via Proxy Points for Kernel Matrices.

Xin Xing, Edmond Chow

SIAM J. Matrix Anal. Appl., 2020

Decentralized and Secure Generation Maintenance with Differential Privacy.

Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow

CoRR, 2020

Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach.

Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow

CoRR, 2020

Asynchronous Richardson iterations.

Edmond Chow, Andreas Frommer, Daniel B. Szyld

CoRR, 2020

Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks.

Karan Sikka, Andrew Silberfarb, John Byrnes, Indranil Sur, Edmond Chow, Ajay Divakaran, Richard Rohwer

CoRR, 2020

Integrating Deep Learning in Domain Sciences at Exascale.

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

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Asynchronous SGD for DNN training on Shared-memory Parallel Architectures.

Florent Lopez, Edmond Chow, Stanimire Tomov, Jack J. Dongarra

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Accelerating Parallel Hierarchical Matrix-Vector Products via Data-Driven Sampling.

Lucas Erlandson, Difeng Cai, Yuanzhe Xi, Edmond Chow

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019

Performance of asynchronous optimized Schwarz with one-sided communication.

Ichitaro Yamazaki, Edmond Chow, Aurélien Bouteiller, Jack J. Dongarra

Parallel Comput., 2019

Modeling the asynchronous Jacobi method without communication delays.

Jordi Wolfson-Pou, Edmond Chow

J. Parallel Distributed Comput., 2019

An Asynchronous, Decentralized Solution Framework for the Large Scale Unit Commitment Problem.

Paritosh Ramanan, Murat Yildirim, Edmond Chow, Nagi Gebraeel

CoRR, 2019

Asynchronous Multigrid Methods.

Jordi Wolfson-Pou, Edmond Chow

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Overlapping Communications with Other Communications and Its Application to Distributed Dense Matrix Computations.

Hua Huang, Edmond Chow

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

ParILUT - A Parallel Threshold ILU for GPUs.

Hartwig Anzt, Tobias Ribizel, Goran Flegar, Edmond Chow, Jack J. Dongarra

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

2018

ParILUT - A New Parallel Threshold ILU Factorization.

Hartwig Anzt, Edmond Chow, Jack J. Dongarra

SIAM J. Sci. Comput., 2018

Preserving Positive Definiteness in Hierarchically Semiseparable Matrix Approximations.

Xin Xing, Edmond Chow

SIAM J. Matrix Anal. Appl., 2018

SMASH: Structured matrix approximation by separation and hierarchy.

Difeng Cai, Edmond Chow, Lucas Erlandson, Yousef Saad, Yuanzhe Xi

Numer. Linear Algebra Appl., 2018

Using Jacobi iterations and blocking for solving sparse triangular systems in incomplete factorization preconditioning.

Edmond Chow, Hartwig Anzt, Jennifer A. Scott, Jack J. Dongarra

J. Parallel Distributed Comput., 2018

Asynchronous One-Level and Two-Level Domain Decomposition Solvers.

Christian A. Glusa, Paritosh Ramanan, Erik G. Boman, Edmond Chow, Sivasankaran Rajamanickam

CoRR, 2018

Accelerating quantum chemistry with vectorized and batched integrals.

Hua Huang, Edmond Chow

Proceedings of the International Conference for High Performance Computing, 2018

Convergence Models and Surprising Results for the Asynchronous Jacobi Method.

Jordi Wolfson-Pou, Edmond Chow

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017

SIAM Education Subcommittee Report on Undergraduate Degree Programs in Applied Mathematics.

Rachel Levy, Edmond Chow, Byong Kwon, Katherine Socha, Maeve McCarthy, Peter R. Turner

SIAM Rev., 2017

Distributed tomography with adaptive mesh refinement in sensor networks.

Goutham Kamath, Lei Shi, Edmond Chow, Wen-Zhan Song

Int. J. Sens. Networks, 2017

Fault tolerant variants of the fine-grained parallel incomplete LU factorization.

Evan Coleman, Masha Sosonkina, Edmond Chow

Proceedings of the 25th High Performance Computing Symposium, Virginia Beach, VA, USA, April 23, 2017

Distributed southwell: an iterative method with low communication costs.

Jordi Wolfson-Pou, Edmond Chow

Proceedings of the International Conference for High Performance Computing, 2017

Asynchronous Decentralized Framework for Unit Commitment in Power Systems.

Paritosh Ramanan, Murat Yildirim, Edmond Chow, Nagi Gebraeel

Proceedings of the International Conference on Computational Science, 2017

2016

Domain Overlap for Iterative Sparse Triangular Solves on GPUs.

Hartwig Anzt, Edmond Chow, Daniel B. Szyld, Jack J. Dongarra

Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016

Updating incomplete factorization preconditioners for model order reduction.

Hartwig Anzt, Edmond Chow, Jens Saak, Jack J. Dongarra

Numer. Algorithms, 2016

Horizontal vectorization of electron repulsion integrals.

Benjamin P. Pritchard, Edmond Chow

J. Comput. Chem., 2016

Scaling up Hartree-Fock calculations on Tianhe-2.

Edmond Chow, Xing Liu, Sanchit Misra, Marat Dukhan, Mikhail Smelyanskiy, Jeff R. Hammond, Yunfei Du, Xiangke Liao, Pradeep Dubey

Int. J. High Perform. Comput. Appl., 2016

Batched Generation of Incomplete Sparse Approximate Inverses on GPUs.

Hartwig Anzt, Edmond Chow, Thomas Huckle, Jack J. Dongarra

Proceedings of the 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2016

Reducing Communication in Distributed Asynchronous Iterative Methods.

Jordi Wolfson-Pou, Edmond Chow

Proceedings of the International Conference on Computational Science 2016, 2016

2015

Fine-Grained Parallel Incomplete LU Factorization.

Edmond Chow, Aftab Patel

SIAM J. Sci. Comput., 2015

Dtree: Dynamic Task Scheduling at Petascale.

Kiran Pamnany, Sanchit Misra, Md. Vasimuddin, Xing Liu, Edmond Chow, Srinivas Aluru

Proceedings of the High Performance Computing - 30th International Conference, 2015

Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs.

Edmond Chow, Hartwig Anzt, Jack J. Dongarra

Proceedings of the High Performance Computing - 30th International Conference, 2015

Efficient Particle-mesh Spreading on GPUs.

Xiangyu Guo, Xing Liu, Peng Xu, Zhihui Du, Edmond Chow

Proceedings of the International Conference on Computational Science, 2015

Something In The Way We Move: Quantifying patterns of exploration in virtual spaces.

John Murray, Edmond Chow, Christopher Connolly

Proceedings of the 10th International Conference on the Foundations of Digital Games, 2015

Iterative Sparse Triangular Solves for Preconditioning.

Hartwig Anzt, Edmond Chow, Jack J. Dongarra

Proceedings of the Euro-Par 2015: Parallel Processing, 2015

Distributed Multigrid Technique for Seismic Tomography in Sensor Networks.

Goutham Kamath, Lei Shi, Edmond Chow, Wen-Zhan Song

Proceedings of the Big Data Computing and Communications - First International Conference, 2015

2014

Preconditioned Krylov Subspace Methods for Sampling Multivariate Gaussian Distributions.

Edmond Chow, Yousef Saad

SIAM J. Sci. Comput., 2014

Large-scale Hydrodynamic Brownian Simulations on Multicore and GPU Architectures.

M. Graham Lopez, Mitchel D. Horton, Edmond Chow

Proceedings of the Annual Conference of the Extreme Science and Engineering Discovery Environment, 2014

A New Scalable Parallel Algorithm for Fock Matrix Construction.

Xing Liu, Aftab Patel, Edmond Chow

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

Large-Scale Hydrodynamic Brownian Simulations on Multicore and Manycore Architectures.

Xing Liu, Edmond Chow

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013

Detecting insider threats in a real corporate database of computer usage activity.

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

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Extending the Generality of Molecular Dynamics Simulations on a Special-Purpose Machine.

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

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

Efficient sparse matrix-vector multiplication on x86-based many-core processors.

Xing Liu, Mikhail Smelyanskiy, Edmond Chow, Pradeep Dubey

Proceedings of the International Conference on Supercomputing, 2013

2012

Preconditioning Techniques for Sparse Linear Systems.

Massimiliano Ferronato, Edmond Chow, Kok-Kwang Phoon

J. Appl. Math., 2012

Optimizing the computation of n-point correlations on large-scale astronomical data.

William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray

Proceedings of the SC Conference on High Performance Computing Networking, 2012

Improving the Performance of Dynamical Simulations Via Multiple Right-Hand Sides.

Xing Liu, Edmond Chow, Karthikeyan Vaidyanathan, Mikhail Smelyanskiy

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

Robust Kernel Nonnegative Matrix Factorization.

Zhichen Xia, Chris H. Q. Ding, Edmond Chow

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Overcoming Communication Latency Barriers in Massively Parallel Scientific Computation.

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

IEEE Micro, 2011

2010

Exploiting 162-Nanosecond End-to-End Communication Latency on Anton.

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

Proceedings of the Conference on High Performance Computing Networking, 2010

2009

Millisecond-scale molecular dynamics simulations on Anton.

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

Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

2008

BlueGene/L applications: Parallelism On a Massive Scale.

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

Int. J. High Perform. Comput. Appl., 2008

2006

An Aggregation Multilevel Method Using Smooth Error Vectors.

Edmond Chow

SIAM J. Sci. Comput., 2006

Molecular dynamics - Scalable algorithms for molecular dynamics simulations on commodity clusters.

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

Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

A Survey of Parallelization Techniques for Multigrid Solvers.

Edmond Chow, Robert D. Falgout, Jonathan J. Hu, Raymond S. Tuminaro, Ulrike Meier Yang

Proceedings of the Parallel Processing for Scientific Computing, 2006

2005

A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L.

Andy Yoo, Edmond Chow, Keith W. Henderson, Will McLendon III, Bruce Hendrickson, Ümit V. Çatalyürek

Proceedings of the ACM/IEEE SC2005 Conference on High Performance Networking and Computing, 2005

New Experiments in Distributional Representations of Synonymy.

Dayne Freitag, Matthias Blume, John Byrnes, Edmond Chow, Sadik Kapadia, Richard Rohwer, Zhiqiang Wang

Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005

Knowledge Representation Issues in Semantic Graphs for Relationship Detection.

Marc Barthelemy, Edmond Chow, Tina Eliassi-Rad

Proceedings of the AI Technologies for Homeland Security, 2005

2003

Crout Versions of ILU for General Sparse Matrices.

Na Li, Yousef Saad, Edmond Chow

SIAM J. Sci. Comput., 2003

Multilevel block factorizations in generalized hierarchical bases.

Edmond Chow, Panayot S. Vassilevski

Numer. Linear Algebra Appl., 2003

An unstructured multigrid method based on geometric smoothness.

Edmond Chow

Numer. Linear Algebra Appl., 2003

2001

Parallel Implementation and Practical Use of Sparse Approximate Inverse Preconditioners with a Priori Sparsity Patterns.

Edmond Chow

Int. J. High Perform. Comput. Appl., 2001

2000

A Priori Sparsity Patterns for Parallel Sparse Approximate Inverse Preconditioners.

Edmond Chow

SIAM J. Sci. Comput., 2000

1999

A Scalable Parallel Computation of Sparse Approximate Inverse Preconditioners.

Edmond Chow

Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

1998

An Object-Oriented Framework for Block Preconditioning.

Edmond Chow, Michael A. Heroux

ACM Trans. Math. Softw., 1998

Approximate Inverse Preconditioners via Sparse-Sparse Iterations.

Edmond Chow, Yousef Saad

SIAM J. Sci. Comput., 1998

Preserving Symmetry in Preconditioned Krylov Subspace Methods.

Tony F. Chan, Edmond Chow, Yousef Saad, Man-Chung Yeung

SIAM J. Sci. Comput., 1998

1997

Approximate Inverse Techniques for Block-Partitioned Matrices.

Edmond Chow, Yousef Saad

SIAM J. Sci. Comput., 1997

Parallel Approximate Inverse Preconditioners.

Edmond Chow, Yousef Saad

Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997