Edmond Chow

According to our database1, Edmond Chow authored at least 86 papers between 1997 and 2023.

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Bibliography

2023
Data-driven linear complexity low-rank approximation of general kernel matrices: A geometric approach.
Numer. Linear Algebra Appl., December, 2023

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

Differentially Private Decentralized Generator Maintenance and Operations for Power Networks.
IEEE Trans. Control. Netw. Syst., June, 2023

Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances.
CoRR, 2023

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices.
CoRR, 2023

2022
A hierarchical matrix approach for computing hydrodynamic interactions.
J. Comput. Phys., 2022

Data-driven Construction of Hierarchical Matrices with Nested Bases.
CoRR, 2022

Implementing Asynchronous Jacobi Iteration on GPUs.
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.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021
H2Pack: High-performance <i>H</i><sup>2</sup> Matrix Package for Kernel Matrices Using the Proxy Point Method.
ACM Trans. Math. Softw., 2021

SPARC: Simulation Package for Ab-initio Real-space Calculations.
SoftwareX, 2021

Efficient Construction of an HSS Preconditioner for Symmetric Positive Definite ℋ<sup>2</sup> Matrices.
SIAM J. Matrix Anal. Appl., 2021

Asynchronous Richardson iterations: theory and practice.
Numer. Algorithms, 2021

2020
Fast Coulomb Matrix Construction via Compressing the Interactions Between Continuous Charge Distributions.
SIAM J. Sci. Comput., 2020

Scalable Asynchronous Domain Decomposition Solvers.
SIAM J. Sci. Comput., 2020

Interpolative Decomposition via Proxy Points for Kernel Matrices.
SIAM J. Matrix Anal. Appl., 2020

Decentralized and Secure Generation Maintenance with Differential Privacy.
CoRR, 2020

Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach.
CoRR, 2020

Asynchronous Richardson iterations.
CoRR, 2020

Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks.
CoRR, 2020

Integrating Deep Learning in Domain Sciences at Exascale.
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.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Accelerating Parallel Hierarchical Matrix-Vector Products via Data-Driven Sampling.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019
Performance of asynchronous optimized Schwarz with one-sided communication.
Parallel Comput., 2019

Modeling the asynchronous Jacobi method without communication delays.
J. Parallel Distributed Comput., 2019

An Asynchronous, Decentralized Solution Framework for the Large Scale Unit Commitment Problem.
CoRR, 2019

Asynchronous Multigrid Methods.
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.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

ParILUT - A Parallel Threshold ILU for GPUs.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

2018
ParILUT - A New Parallel Threshold ILU Factorization.
SIAM J. Sci. Comput., 2018

Preserving Positive Definiteness in Hierarchically Semiseparable Matrix Approximations.
SIAM J. Matrix Anal. Appl., 2018

SMASH: Structured matrix approximation by separation and hierarchy.
Numer. Linear Algebra Appl., 2018

Using Jacobi iterations and blocking for solving sparse triangular systems in incomplete factorization preconditioning.
J. Parallel Distributed Comput., 2018

Asynchronous One-Level and Two-Level Domain Decomposition Solvers.
CoRR, 2018

Accelerating quantum chemistry with vectorized and batched integrals.
Proceedings of the International Conference for High Performance Computing, 2018

Convergence Models and Surprising Results for the Asynchronous Jacobi Method.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017
SIAM Education Subcommittee Report on Undergraduate Degree Programs in Applied Mathematics.
SIAM Rev., 2017

Distributed tomography with adaptive mesh refinement in sensor networks.
Int. J. Sens. Networks, 2017

Fault tolerant variants of the fine-grained parallel incomplete LU factorization.
Proceedings of the 25th High Performance Computing Symposium, Virginia Beach, VA, USA, April 23, 2017

Distributed southwell: an iterative method with low communication costs.
Proceedings of the International Conference for High Performance Computing, 2017

Asynchronous Decentralized Framework for Unit Commitment in Power Systems.
Proceedings of the International Conference on Computational Science, 2017

2016
Domain Overlap for Iterative Sparse Triangular Solves on GPUs.
Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016

Updating incomplete factorization preconditioners for model order reduction.
Numer. Algorithms, 2016

Horizontal vectorization of electron repulsion integrals.
J. Comput. Chem., 2016

Scaling up Hartree-Fock calculations on Tianhe-2.
Int. J. High Perform. Comput. Appl., 2016

Batched Generation of Incomplete Sparse Approximate Inverses on GPUs.
Proceedings of the 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2016

Reducing Communication in Distributed Asynchronous Iterative Methods.
Proceedings of the International Conference on Computational Science 2016, 2016

2015
Fine-Grained Parallel Incomplete LU Factorization.
SIAM J. Sci. Comput., 2015

Dtree: Dynamic Task Scheduling at Petascale.
Proceedings of the High Performance Computing - 30th International Conference, 2015

Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs.
Proceedings of the High Performance Computing - 30th International Conference, 2015

Efficient Particle-mesh Spreading on GPUs.
Proceedings of the International Conference on Computational Science, 2015

Something In The Way We Move: Quantifying patterns of exploration in virtual spaces.
Proceedings of the 10th International Conference on the Foundations of Digital Games, 2015

Iterative Sparse Triangular Solves for Preconditioning.
Proceedings of the Euro-Par 2015: Parallel Processing, 2015

Distributed Multigrid Technique for Seismic Tomography in Sensor Networks.
Proceedings of the Big Data Computing and Communications - First International Conference, 2015

2014
Preconditioned Krylov Subspace Methods for Sampling Multivariate Gaussian Distributions.
SIAM J. Sci. Comput., 2014

Large-scale Hydrodynamic Brownian Simulations on Multicore and GPU Architectures.
Proceedings of the Annual Conference of the Extreme Science and Engineering Discovery Environment, 2014

A New Scalable Parallel Algorithm for Fock Matrix Construction.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

Large-Scale Hydrodynamic Brownian Simulations on Multicore and Manycore Architectures.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013

Extending the Generality of Molecular Dynamics Simulations on a Special-Purpose Machine.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

Efficient sparse matrix-vector multiplication on x86-based many-core processors.
Proceedings of the International Conference on Supercomputing, 2013

2012
Preconditioning Techniques for Sparse Linear Systems.
J. Appl. Math., 2012

Optimizing the computation of n-point correlations on large-scale astronomical data.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

Improving the Performance of Dynamical Simulations Via Multiple Right-Hand Sides.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

Robust Kernel Nonnegative Matrix Factorization.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Overcoming Communication Latency Barriers in Massively Parallel Scientific Computation.
IEEE Micro, 2011

2010
Exploiting 162-Nanosecond End-to-End Communication Latency on Anton.
Proceedings of the Conference on High Performance Computing Networking, 2010

2009

2008
BlueGene/L applications: Parallelism On a Massive Scale.
Int. J. High Perform. Comput. Appl., 2008

2006
An Aggregation Multilevel Method Using Smooth Error Vectors.
SIAM J. Sci. Comput., 2006

Molecular dynamics - Scalable algorithms for molecular dynamics simulations on commodity clusters.
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

A Survey of Parallelization Techniques for Multigrid Solvers.
Proceedings of the Parallel Processing for Scientific Computing, 2006

2005
A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L.
Proceedings of the ACM/IEEE SC2005 Conference on High Performance Networking and Computing, 2005

New Experiments in Distributional Representations of Synonymy.
Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005

Knowledge Representation Issues in Semantic Graphs for Relationship Detection.
Proceedings of the AI Technologies for Homeland Security, 2005

2003
Crout Versions of ILU for General Sparse Matrices.
SIAM J. Sci. Comput., 2003

Multilevel block factorizations in generalized hierarchical bases.
Numer. Linear Algebra Appl., 2003

An unstructured multigrid method based on geometric smoothness.
Numer. Linear Algebra Appl., 2003

2001
Parallel Implementation and Practical Use of Sparse Approximate Inverse Preconditioners with a Priori Sparsity Patterns.
Int. J. High Perform. Comput. Appl., 2001

2000
A Priori Sparsity Patterns for Parallel Sparse Approximate Inverse Preconditioners.
SIAM J. Sci. Comput., 2000

1999
A Scalable Parallel Computation of Sparse Approximate Inverse Preconditioners.
Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

1998
An Object-Oriented Framework for Block Preconditioning.
ACM Trans. Math. Softw., 1998

Approximate Inverse Preconditioners via Sparse-Sparse Iterations.
SIAM J. Sci. Comput., 1998

Preserving Symmetry in Preconditioned Krylov Subspace Methods.
SIAM J. Sci. Comput., 1998

1997
Approximate Inverse Techniques for Block-Partitioned Matrices.
SIAM J. Sci. Comput., 1997

Parallel Approximate Inverse Preconditioners.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997


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