Selected Publications

M. Khodak, E. Chow, M.-F. Balcan, and A. Talwalkar, Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances, Proceedings of the 11th International Conference on Learning Representations (ICLR), 2024. (Spotlight)

A. Sharma, A. Metere, P. Suryanarayana, L. Erlandson, E. Chow, and J. Pask, GPU Acceleration of Local and Semilocal Density Functional Calculations in the SPARC Electronic Structure Code, The Journal of Chemical Physics, 158, 204117 (2023).

D. Cai, E. Chow, and Y. Xi, Data-Driven Linear Complexity Low-Rank Approximation of General Kernel Matrices: A Geometric Approach, Numerical Linear Algebra with Applications, 30, e2519 (2023)

D. Cai, H. Huang, E. Chow, and Y. Xi, Data-driven Construction of Hierarchical Matrices with Nested Bases, SIAM Journal on Scientific Computing, Special Section: Copper Mountain 2022, S24-S50.

F. Chaouqui, E. Chow, and D. B. Szyld, Asynchronous Domain Decomposition Methods for Nonlinear PDEs, Electronic Transactions on Numerical Analysis, 58, 22-42 (2023).

P. Ramanan, M. Yildirim, N. Gebraeel, and E. Chow, Differentially Private Decentralized Generator Maintenance and Operations for Power Networks, IEEE Transactions on Control of Network Systems, 10, 972-987 (2023).

H. Huang and E. Chow, CA3DMM: A New Algorithm Based on a Unified View of Parallel Matrix Multiplication, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22), Dallas, TX, Nov. 13-18, 2022.

Y.-H. Tsai, P. Nayak, E. Chow, and H. Anzt, Implementing Asynchronous Jacobi Iteration on GPUs, 13th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems (ScalAH22), Dallas, TX, Nov. 13, 2022.

S. Shah, P. Suryanarayana, and E. Chow, Pseudodiagonalization method for accelerating nonlinear subspace diagonalization in density functional theory, Journal of Chemical Theory and Computation, 18, 3474-3482 (2022).

X. Xing, H. Huang, and E. Chow, A Hierarchical Matrix Approach for Computing Hydrodynamic Interactions, Journal of Computational Physics, 448, 110761 (2022).

P. Ramanan, M. Yildirim, N. Gebraeel, and E. Chow, Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach, IEEE Transactions on Power Systems, 37, 237-248 (2022).

Q. Xu, A. Sharma, B. Comer, H. Huang, E. Chow, A. J. Medford, J. E. Pask, and P. Suryanarayana, SPARC: Simulation Package for Ab-initio Real-space Calculations, SoftwareX, 15, 100709 (2021).

X. Xing, H. Huang, and E. Chow, Efficient construction of an HSS preconditioner for symmetric positive definite H2 matrices, SIAM Journal on Matrix Analysis and Applications, 42, 683-707 (2021).

E. Chow, A. Frommer, and D. B. Szyld, Asynchronous Richardson Iterations: Theory and Practice, Numerical Algorithms, 87, 1635–1651 (2021).

C. Glusa, E. G. Boman, E. Chow, S. Rajamanickam, and D. B. Szyld, Scalable Asynchronous Domain Decomposition Solvers, SIAM Journal on Scientific Computing, 42, C384–C409 (2020).

H. Huang, X. Xing, and E. Chow, H2Pack: High-Performance H2 Matrix Package for Kernel Matrices Using the Proxy Point Method, ACM Transactions on Mathematical Software, 47, Article 3 (2020).

X. Xing, H. Huang, and E. Chow, A Linear Scaling Hierarchical Block Low-rank Representation of the Electron Repulsion Integral Tensor, The Journal of Chemical Physics, 153, 084119 (2020).

R. Archibald, E. Chow, E. D'Azevedo, J. Dongarra, M. Eisenbach, R. Febbo, F. Lopez, D. Nichols, S. Tomov, K. Wong, and J. Yin, Integrating Deep Learning in Domain Sciences at Exascale, Smoky Mountains Computational Sciences and Engineering Conference 2020, Oak Ridge, TN, Aug. 26-28, 2020.

H. Huang, C. D. Sherrill, and E. Chow, Techniques for High-Performance Construction of Fock Matrices, The Journal of Chemical Physics, 152, 024122 (2020).

L. Erlandson, D. Cai, Y. Xi, and E. Chow, Accelerating Parallel Hierarchical Matrix-Vector Products via Data-Driven Sampling, 34th IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, LA, May 18-22, 2020, pp. 749-758, doi: 10.1109/IPDPS47924.2020.00082.

F. Lopez, E. Chow, S. Tomov, and J. Dongarra, Asynchronous SGD for DNN Training on Shared-memory Parallel Architectures, Scalable Deep Learning over Parallel And Distributed Infrastructures Workshop (ScaDL) 2020, New Orleans, LA, May 22, 2020.

X. Xing and E. Chow, Fast Coulomb Matrix Construction via Compressing the Interactions Between Continuous Charge Distributions, SIAM Journal on Scientific Computing, 42, A162-A186 (2020).

X. Xing and E. Chow, Interpolative Decomposition via Proxy Points for Kernel Matrices, SIAM Journal on Matrix Analysis and Applications, 41, 221-243 (2020).

X. Xing and E. Chow, Error Analysis of an Accelerated Interpolative Decomposition for 3D Laplace Problems, Applied and Computational Harmonic Analysis, 49, 316-327 (2020).

C. Glusa, E. G. Boman, E. Chow, S. Rajamanickam, and P. Ramanan, Asynchronous One-Level and Two-Level Domain Decomposition Solvers, Domain Decomposition Methods in Science and Engineering XXV, Lecture Notes in Computational Science and Engineering (Springer), 138, 134-142 (2020).

I. Yamazaki, E. Chow, A. Bouteiller, and J. Dongarra, Performance of Asynchronous Optimized Schwarz with One-sided Communication, Parallel Computing, 86, 66-81 (2019).

P. Ramanan, M. Yildirim, E. Chow, and N. Gebraeel, An Asynchronous, Decentralized Solution Framework for the Large Scale Unit Commitment Problem, IEEE Transactions on Power Systems, 34, 3677-3686 (2019).

J. Wolfson-Pou and E. Chow, Modeling the Asynchronous Jacobi Method Without Communication Delays, Journal of Parallel and Distributed Computing, 128, 84-98 (2019).

H. Huang and E. Chow, Overlapping Communications with Other Communications and its Application to Distributed Dense Matrix Computations, 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil, May 20-24, 2019, pp. 501-510.

J. Wolfson-Pou and E. Chow, Asynchronous Multigrid Methods, 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil, May 20-24, 2019, pp. 101-110.

H. Anzt, T. Ribizel, G. Flegar, E. Chow, and J. Dongarra, ParILUT - A Parallel Threshold ILU for GPUs, 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil, May 20-24, 2019, pp. 231-241.

H. Huang and E. Chow, Accelerating Quantum Chemistry with Vectorized and Batched Integrals, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), Article No. 41 (14 pages), Dallas, TX, Nov. 11-16, 2018.

D. Cai, E. Chow, L. Erlandson, Y. Saad, and Y. Xi, SMASH: Structured Matrix Approximation by Separation and Hierarchy, Numerical Linear Algebra with Applications, 25, e2204 (2018).

H. Anzt, E. Chow, and J. Dongarra, ParILUT - A New Parallel Threshold ILU Factorization, SIAM Journal on Scientific Computing, 40, C503-C519 (2018).

X. Xing and E. Chow, Preserving Positive Definiteness in Hierarchically Semiseparable Matrix Approximations, SIAM Journal on Matrix Analysis and Applications, 39, 829-855 (2018).

E. Chow, H. Anzt, J. Scott, and J. Dongarra, Using Jacobi Iterations and Blocking for Solving Sparse Triangular Systems in Incomplete Factorization Preconditioning, Journal of Parallel and Distributed Computing, 119, 219-230 (2018).

J. Wolfson-Pou and E. Chow, Convergence Models and Surprising Results for the Asynchronous Jacobi Method, 32nd IEEE International Parallel and Distributed Processing Symposium (IPDPS), Vancouver, BC, May 21-25, 2018, pp. 940-949.

J. Wolfson-Pou and E. Chow, Distributed Southwell: An Iterative Method with Low Communication Costs, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC17), Denver, CO, Nov. 12-17, 2017.

E. Chow and J. Skolnick, DNA Internal Motion Likely Accelerates Protein Target Search in a Packed Nucleoid, Biophysical Journal, 112, 2261-2270 (2017).

P. Ramanan, M. Yildirim, E. Chow, and N. Gebraeel, Asynchronous Decentralized Framework for Unit Commitment in Power Systems, ICCS 2017 International Conference on Computational Science, Zurich, Switzerland, June 12-14, 2017, Procedia Computer Science, 108, 665-674 (2017).

E. Coleman, M. Sosonkina, and E. Chow, Fault Tolerant Variants of the Fine-Grained Parallel Incomplete LU Factorization, High Performance Computing Symposium 2017 (Spring Simulation Multi-Conference), Virginia Beach, VA, April 23-26, 2017.

R. Levy, E. Chow, B. Kwon, K. Socha, M. McCarthy, and P. Turner, SIAM Education Subcommittee Report on Undergraduate Degree Programs in Applied Mathematics, SIAM Review, 59, 199-204 (2017).

G. Kamath, L. Shi, E. Chow, and W. Song, Distributed Tomography with Adaptive Mesh Refinement in Sensor Networks, International Journal of Sensor Networks, 23, 40-52 (2017).

B. P. Pritchard and E. Chow, Horizontal Vectorization of Electron Repulsion Integrals, Journal of Computational Chemistry, 37, 2537-2546 (2016). Supporting Information.

H. Anzt, E. Chow, T. Huckle, and J. Dongarra, Batched Generation of Incomplete Sparse Approximate Inverses on GPUs, Proceedings of the 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA'16), Salt Lake City, UT, Nov. 14, 2016, pp. 49-56.

H. Anzt, E. Chow, J. Saak, and J. Dongarra, Updating Incomplete Factorization Preconditioners for Model Order Reduction, Numerical Algorithms, 73, 611-630 (2016).

J. Wolfson-Pou and E. Chow, Reducing Communication in Distributed Asynchronous Iterative Methods, ICCS Workshop on Mathematical Methods and Algorithms for Extreme Scale, San Diego, CA, June 6-8, 2016, Procedia Computer Science, 80, 1906-1916 (2016).

H. Anzt, E. Chow, D. Szyld, and J. Dongarra, Domain Overlap for Iterative Sparse Triangular Solves on GPUs, Lecture Notes in Computational Science and Engineering (LNCSE), 113, 527-545 (2016).

E. Chow, X. Liu, S. Misra, M. Dukhan, M. Smelyanskiy, J. R. Hammond, Y. Du, X.-K. Liao, and P. Dubey, Scaling Up Hartree-Fock Calculations on Tianhe-2, International Journal of High Performance Computing Applications, 30, 85-102 (2016). DOI: 10.1177/1094342015592960

E. Chow and J. Skolnick, Effects of Confinement on Models of Intracellular Macromolecular Dynamics, Proceedings of the National Academy of Sciences USA, 112, 14846-14851 (2015). DOI: 10.1073/pnas.1514757112

E. Chow, X. Liu, M. Smelyanskiy, and J. R. Hammond, Parallel Scalability of Hartree-Fock Calculations, The Journal of Chemical Physics, 142, 104103 (2015). DOI: 10.1063/1.4913961

G. Kamath, L. Shi, E. Chow, W. Song, and J. Yang, Decentralized Multigrid for In-situ Big Data Computing, Tsinghua Science and Technology, 20, 545-559 (2015).

E. Chow and A. Patel, Fine-grained Parallel Incomplete LU Factorization, SIAM Journal on Scientific Computing, 37, C169-C193 (2015).

H. Anzt, E. Chow, and J. Dongarra, Iterative Sparse Triangular Solves for Preconditioning, 21st International European Conference on Parallel and Distributed Computing (Euro-Par 2015), Vienna, Austria, Aug. 24-28, 2015, Lecture Notes in Computer Science, 9233, 650-661 (2015).

G. Kamath, L. Shi, E. Chow, and W. Song, Distributed Multigrid Technique for Seismic Tomography in Sensor Networks, 1st International Conference on Big Data Computing and Communications, Taiyuan, Shanxi, China, Aug. 1-3, 2015, Lecture Notes in Computer Science, 9196, 297-310 (2015).

E. Chow, H. Anzt, and J. Dongarra, Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs, ISC High Performance, Frankfurt, Germany, July 12-16, 2015, Lecture Notes in Computer Science, 9137, 1-16 (2015).

K. Pamnany, S. Misra, Md. Vasimuddin, X. Liu, E. Chow and S. Aluru, Dtree: Dynamic Task Scheduling at Petascale, ISC High Performance, Frankfurt, Germany, July 12-16, 2015, Lecture Notes in Computer Science, 9137, 122-138 (2015).

X. Guo, X. Liu, P. Xu, Z. Du, and E. Chow, Efficient Particle-Mesh Spreading on GPUs, ICCS 2015 International Conference on Computational Science, Reykjavik, Iceland, June 1-3, 2015, Procedia Computer Science, 51, 120-129 (2015).

M. G. Lopez, M. D. Horton, and E. Chow, Large-scale Hydrodynamic Brownian Simulations on Multicore and GPU Architectures, XSEDE'14 Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment, Atlanta, GA, July 13-18, 2014.

E. Chow, Massive Asynchronous Parallelization of Sparse Matrix Factorizations, SIAM Workshop on Exascale Applied Mathematics Challenges and Opportunities (EX14), Chicago, IL, July 6, 2014.

X. Liu, A. Patel, and E. Chow, A New Scalable Parallel Algorithm for Fock Matrix Construction, 28th IEEE International Parallel and Distributed Processing Symposium (IPDPS), Phoenix, AZ, May 19-23, 2014, pp. 902-914. (Best Paper Award in Applications Track)

X. Liu and E. Chow, Large-scale Hydrodynamic Brownian Simulations on Multicore and Manycore Architectures, 28th IEEE International Parallel and Distributed Processing Symposium (IPDPS), Phoenix, AZ, May 19-23, 2014, pp. 563-572.

E. Chow and Y. Saad, Preconditioned Krylov Subspace Methods for Sampling Multivariate Gaussian Distributions, SIAM Journal on Scientific Computing, 36, A588-A608 (2014).

T. Ando, E. Chow, and J. Skolnick, Dynamic Simulation of Concentrated Macromolecular Solutions with Screened Long-range Hydrodynamic Interactions: Algorithm and Limitations, The Journal of Chemical Physics, 139, 121922 (2013).

X. Liu, M. Smelyanskiy, E. Chow, and P. Dubey, Efficient Sparse Matrix-Vector Multiplication on x86-based Many-core Processors, 27th International Conference on Supercomputing (ICS), Eugene, OR, June 10-14, 2013.

D. P. Scarpazza, D. J. Ierardi, A. K. Lerer, K. M. Mackenzie, A. C. Pan, J. A. Bank, E. Chow, R. O. Dror, J. P. Grossman, D. Killebrew, M. A. Moraes, C. Predescu, J. K. Salmon, and D. E. Shaw, Extending the Generality of Molecular Dynamics Simulations on a Special-Purpose Machine, 27th IEEE International Parallel and Distributed Processing Symposium (IPDPS), Boston, MA, May 20-24, 2013. (Best Paper Award in Applications Track)

Z. Xia, C. Ding, and E. Chow, Robust Kernel Nonnegative Matrix Factorization, ICDM 2012 Workshop on Optimization Based Techniques for Emerging Data Mining (OEDM 2012), Brussels, Belgium, Dec. 10, 2012.

T. Ando, E. Chow, Y. Saad, and J. Skolnick, Krylov Subspace Methods for Computing Hydrodynamic Interactions in Brownian Dynamics Simulations, The Journal of Chemical Physics, 137, 064106 (2012).

W. B. March, K. Czechowski, M. Dukhan, T. Benson, D. Lee, A. J. Connolly, R. Vuduc, E. Chow, and A. G. Gray, Optimizing the Computation of N-Point Correlations on Large-Scale Astronomical Data, Proceedings of the 2012 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC12), Salt Lake City, UT, Nov. 10-16, 2012.

X. Liu, E. Chow, K. Vaidyanathan, and M. Smelyanskiy, Improving the Performance of Dynamical Simulations via Multiple Right-Hand Sides, 26th IEEE International Parallel and Distributed Processing Symposium (IPDPS), Shanghai, China, May 21-25, 2012.

E. Chow, J. L. Klepeis, C. A. Rendleman, R. O. Dror, and D. E. Shaw, New Technologies for Molecular Dynamics Simulations, Comprehensive Biophysics, Ed. E. Egelman. Vol. 9. Academic Press, Waltham, MA, 2012.

M. Ferronato, E. Chow, and K.-K. Phoon, Preconditioning Techniques for Sparse Linear Systems (editorial), Journal of Applied Mathematics, Volume 2012 (2012), Article ID 518165.

R. Dror, J. P. Grossman, K. Mackenzie, B. Towles, E. Chow, J. Salmon, C. Young, J. Bank, B. Batson, and D. E. Shaw, Overcoming Communication Latency Barriers in Massively Parallel Scientific Computation, IEEE Micro, 31, 8-19 (2011).

R. Gunasekaran, D. Dillow, G. Shipman, R. Vuduc, and E. Chow, Characterizing Application Runtime Behavior from System Logs and Metrics, CACHES 2011: The First International Workshop on Characterizing Applications for Heterogeneous Exascale Systems, Tucson, AZ, June 4, 2011.

R. O. Dror, J. P. Grossman, K. M. Mackenzie, B. Towles, E. Chow, J. K. Salmon, C. Young, J. A. Bank, B. Batson, M. M. Deneroff, J. S. Kuskin, R. H. Larson, M. A. Moraes, and D. E. Shaw, Exploiting 162-Nanosecond End-to-End Communication Latency on Anton, Proceedings of the 2010 ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC10), New Orleans, LA, November 13-19, 2010. (Best Paper Award Finalist)

D. E. Shaw, R. O. Dror, J. K. Salmon, J. P. Grossman, K. M. Mackenzie, J. A. Bank, C. Young, M. M. Deneroff, B. Batson, K. J. Bowers, E. Chow, M. P. Eastwood, D. J. Ierardi, J. L. Klepeis, J. S. Kuskin, R. H. Larson, K. Lindorff-Larsen, P. Maragakis, M. A. Moraes, S. Piana, Y. Shan, and B. Towles, Millisecond-Scale Molecular Dynamics Simulations on Anton, Proceedings of the 2009 ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC09), Portland, Oregon, November 14-20, 2009. (Best Paper Award)

I. T. Arkin, H. Xu, M. Ø. Jensen, E. Arbely, E. R. Bennett, K. J. Bowers, E. Chow, R. O. Dror, M. P. Eastwood, R. Flitman-Tene, B. A. Gregersen, J. L. Klepeis, I. Kolossváry, Y. Shan, and D. E. Shaw, Mechanism of Na+/H+ Antiporting, Science, 317, No. 5839, 799-803 (2007).

K. J. Bowers, E. Chow, H. Xu, R. O. Dror, M. P. Eastwood, B. A. Gregersen, J. L. Klepeis, I. Kolossvary, M. A. Moraes, F. D. Sacerdoti, J. K. Salmon, Y. Shan, and D. E. Shaw, Scalable Algorithms for Molecular Dynamics Simulations on Commodity Clusters, Proceedings of the ACM/IEEE SC2006 Conference, Tampa, Florida, November 11-17, 2006. (Best Paper Award)

Edmond Chow, An Aggregation Multilevel Method Using Smooth Error Vectors, SIAM Journal on Scientific Computing, 27 (2006), pp. 1727-1741.

Ali Pinar, Edmond Chow, and Alex Pothen, Combinatorial Algorithms for Computing Column Space Bases That Have Sparse Inverses, Electronic Transactions on Numerical Analysis, 22 (2006), pp. 122-145.

Andy Yoo, Edmond Chow, Keith Henderson, William McLendon, Bruce Hendrickson, and Umit Catalyurek, A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L, Proceedings of the ACM/IEEE SC2005 Conference, Seattle, Washington, November 12-18, 2005. (Gordon Bell Prize Finalist)

Marc Barthélemy, Edmond Chow, and Tina Eliassi-Rad, Knowledge Representation Issues in Semantic Graphs for Relationship Detection, AI Technologies for Homeland Security: Papers from the 2005 AAAI Spring Symposium, AAAI Press, 2005, pp. 91-98.

Edmond Chow, Keith Henderson, and Andy Yoo, Distributed Breadth-First Search with 2-D Partitioning, LLNL Technical Report UCRL-CONF-210829, April 2005.

Edmond Chow, A Graph Search Heuristic for Shortest Distance Paths, LLNL Technical Report UCRL-CONF-210878, March 2005.

Edmond Chow, Robert D. Falgout, Jonathan J. Hu, Raymond S. Tuminaro, and Ulrike Meier Yang, A Survey of Parallelization Techniques for Multigrid Solvers, Frontiers of Parallel Processing for Scientific Computing, SIAM Publications, Philadelphia, PA, 2005.

Na Li, Yousef Saad, and Edmond Chow, Crout Versions of ILU for General Sparse Matrices, SIAM J. Sci. Comput., 25 (2003), pp. 716-728.

Edmond Chow and Panayot Vassilevski, Multilevel Block Factorizations in Generalized Hierarchical Bases, Numer. Linear Algebra Apps., 10 (2003), pp. 105-127.

Edmond Chow, An Unstructured Multigrid Method Based on Geometric Smoothness, Numer. Linear Algebra Apps., 10 (2003), pp. 401-421.

Edmond Chow, Thomas A. Manteuffel, Charles Tong, and Bradley K. Wallin, Algebraic Elimination of Slide Surface Constraints in Implicit Structural Analysis, Intern. J. Num. Meth. Engrg., 57 (2003), pp. 1129-1144.

Edmond Chow and David Hysom, Assessing Performance of Hybrid MPI/OpenMP Programs on SMP Clusters, Lawrence Livermore National Laboratory Technical Report UCRL-JC-143957, May 2001.

Edmond Chow, Parallel Implementation and Practical Use of Sparse Approximate Inverse Preconditioners With A Priori Sparsity Patterns, Int. J. High Perf. Comput. Apps., 15 (2001), pp. 56-74.

Edmond Chow, A Priori Sparsity Patterns for Parallel Sparse Approximate Inverse Preconditioners, SIAM J. Sci. Comput., 21 (2000), pp. 1804-1822.

Tony F. Chan, Edmond Chow, Yousef Saad, and M. C. Yeung, Preserving Symmetry in Preconditioned Krylov Subspace Methods, SIAM J. Sci. Comput., 20 (1999), pp. 568-581.

Edmond Chow and Michael A. Heroux, An Object-Oriented Framework for Block Preconditioning, ACM Trans. Math. Softw., 24 (1998), pp. 159-183.

Edmond Chow and Yousef Saad, Approximate Inverse Preconditioners Via Sparse-Sparse Iterations, SIAM J. Sci. Comput., 19 (1998), pp. 995-1023.

Edmond Chow and Yousef Saad, Experimental Study of ILU Preconditioners for Indefinite Matrices, J. Comput. Appl. Math., 86 (1997), pp. 387-414.

Edmond Chow and Yousef Saad, ILUS: an Incomplete LU Factorization for Matrices in Sparse Skyline Format, Int. J. Numer. Meth. Fluids, 25 (1997), pp. 739-748.

Edmond Chow and Yousef Saad, Approximate Inverse Techniques for Block-Partitioned Matrices, SIAM J. Sci. Comput., 18 (1997), pp. 1657-1675.

Selected Invited Presentations

Conference: Parallel Solution Methods for Systems Arising from PDEs, Luminy, France, Sep. 16-20, 2019.

Preconditioning 2019, Minneapolis, MN, July 1-3, 2019 (minisymposium presentation).

Extreme Computing Research Center Seminar, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, Apr. 24, 2019.

Scientific Computing, Applied and Industrial Mathematics (SCAIM) Seminar, University of British Columbia, Vancouver, BC, Mar. 19, 2019.

SIAM Conference on Computational Science and Engineering, Spokane, WA, Feb. 28, 2019. (minisymposium presentation on asynchronous multigrid methods).

Workshop on New Architectures and Algorithms, Long Program in Science at Extreme Scales: Where Big Data Meets Large-Scale Computing, Institute for Pure and Applied Mathematics, University of California Los Angeles, CA, Nov. 26-30, 2018.

Peaceman Lecture in Numerical Mathematics, Department of Computational and Applied Mathematics, Rice University, Houston, TX, Nov. 12, 2018.

International Symposium on Research and Education of Computational Science (RECS), University of Tokyo, Tokyo, Japan, Sept. 19-21, 2018.

International Symposium on Computational Science at Scale (CoSaS 2018), Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, Sept. 5-7, 2018.

MolSSI Workshop and ELSI Conference: Solving or Circumventing Eigenvalue Problems in Electronic Structure Theory, Richmond, VA, Aug. 15-17, 2018.

SIAM Annual Meeting, Portland, OR, July 9-13, 2018 (minisymposium presentation).

13th Scheduling for Large Scale Systems Workshop, Berkeley, CA, June 18-20, 2018.

SIAM Conference on Applied Linear Algebra, Hong Kong, May 4-8, 2018 (minisymposium presentation).

PHYS Symposium on Quantum Chemical Program Development in a Modern Computer and Programming Environment, American Chemical Society National Meeting, New Orleans, LA, March 18-22, 2018.

Department of Computational Mathematics Science and Engineering Colloquium, Michigan State University, East Lansing, MI, Sept. 25, 2017.

SIAM Annual Meeting, Pittsburgh, PA, July 10-14, 2017 (minisymposium presentation).

Householder Symposium XX, Blacksburg, VA, June 18-23, 2017 (plenary talk).

Linear Algebra and Optimization Seminar, Institute for Computational and Mathematical Engineering, Stanford University, Palo Alto, CA, May 11, 2017.

MolSSI Workshop on Core Software Blocks in Quantum Chemistry: Tensors and Integrals, Asilomar, CA, May 7-10, 2017.

SIAM Conference on Computational Science and Engineering, Atlanta, GA, Feb. 27-Mar. 3, 2017 (minisymposium presentation).

International Workshop on Massively Parallel Programming for Quantum Chemistry and Physics 2017, RIKEN Advanced Institute for Computational Science, Kobe, Japan, Jan. 9-10, 2017.

26th Advanced Supercomputing Environment (ASE) Seminar, Information Technology Center (ITC), The University of Tokyo, Japan, Jan. 6, 2017.

“HPC Research: Applications and Algorithms,” Experiencing Research for Undergraduates, ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC16), Salt Lake City, UT, Nov. 13-18, 2016.

Minisymposium on Parallel Computing on Hybrid Nodes, SIAM Conference on Parallel Processing for Scientific Computing, Boston, MA, July 11-15, 2016.

Workshop on Recent Developments in Matrix Computations, National Center for Theoretical Sciences, Mathematics Division, National Taiwan University, Taipei, Taiwan, May 13, 2016.

Minisymposium on Combinatorial Scientific Computing, SIAM Conference on Parallel Processing for Scientific Computing, Paris, France, April 12-15, 2016.

Applied Math and Analysis Seminar, Department of Mathematics, Duke University, Durham, NC, Feb. 15, 2016.

SPPEXA Annual Plenary Meeting (Software for Exascale Computing), Garching, Germany, Jan. 26-27, 2016.

Laboratory for Biomolecular Function Simulation, RIKEN, Kobe, Japan, Dec. 8, 2015.

International Workshop on Software for Peta-Scale Numerical Simulation, The University of Tokyo, Tokyo, Japan, Dec. 3-4, 2015 (1 of 3 international invitees).

Numerical Analysis Group, Applied Mathematics Department, Delft University of Technology, Delft, The Netherlands, Nov. 9, 2015.

SIAM Conference on Applied Linear Algebra, Atlanta, GA, Oct. 26-30, 2015 (minisymposium talk).

Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN, Oct. 13, 2015.

Innovative Computing Laboratory, University of Tennessee, Knoxville, TN, Oct. 12, 2015.

EMSL Seminar, Pacific Northwest National Laboratory, Richland, WA, Aug. 27, 2015.

Eighth International Congress on Industrial and Applied Mathematics, Beijing, China, Aug. 10-14, 2015 (2 minisymposium talks).

ISC Workshop: The Road to Application Performance on Intel Xeon Phi, Frankfurt, Germany, July 12-16, 2015. (Panelist)

International Conference on Preconditioning Techniques for Scientific and Industrial Applications, Eindhoven, The Netherlands, June 17-19, 2015. (Plenary Talk)

“Quantum Chemistry on Large-scale Heterogeneous Clusters,” Sparse Solvers for Exascale: From Building Blocks to Applications, Greifswald, Germany, Mar. 22-26, 2015. (Plenary Talk)

“Asynchronous Preconditioning on Accelerators” and “Scaling comparison of dense eigensolvers and purification techniques to large node counts”, SIAM Conference on Computational Science and Engineering, Salt Lake City, UT, March 14-18, 2015.

“Fine-grained Parallel Computation of Approximate Sparse Matrix Factorizations,” Applied Math and Scientific Computing Seminar, Department of Mathematics, Temple University, Philadelphia, PA, Feb. 25, 2015.

“Partitioning and Load Balancing in Parallel Quantum Chemistry,” Recent Advances in Parallel and High Performance Computing Techniques and Applications, Institute for Mathematical Sciences, National University of Singapore, Jan. 12-16, 2015.

“Partitioning, Load Balancing, and Other Problems in Computational Chemistry,” IBM T. J. Watson Research Center Seminar, Yorktown Heights, NY, Dec. 8, 2014.

“Scaling Up Hartree-Fock Calculations,” New and Future Directions in Atomistic Simulation and Modeling Workshop, Seattle, WA, Oct 27-29, 2014.

“Computational Methods for Large-Scale Macromolecular Simulations,” Department of Biochemistry Seminar, University of Iowa, Iowa City, IA, Oct. 23, 2014.

“A Parallel Iterative Approach for Computing and Updating an Approximate Sparse Matrix Factorization,” Department of Mathematics Colloquium, Virginia Tech, Blacksburg, VA, Oct. 10, 2014.

“Massive Asynchronous Parallelization of Sparse Matrix Factorizations,” Parallel Computing Lab Seminar, Intel Corporation, Santa Clara, CA, Aug. 14, 2014.

“Large-scale Hartree-Fock Calculations on Heterogeneous Clusters,” Computing Sciences Seminar, Lawrence Berkeley National Laboratory, Berkeley, CA, Aug. 12, 2014.

“Toward Quantum Chemistry on Millions of Cores,” Future of Computational Chemistry Symposium, 248th American Chemical Society National Meeting, San Francisco, CA, Aug. 10-14, 2014.

“Preconditioned Methods for Sampling Multivariate Gaussian Distributions,” Householder Symposium XIX, Spa, Belgium, June 8-13, 2014.

“A Paradigm for Very Fine-Grained Parallel Matrix Computations,” and “Tuning and Optimization of Particle Simulations with Long-Range Interactions,” 2014 Conference on Advanced Topics and Auto Tuning in High Performance and Scientific Computing, National Taiwan University, March 14-15, 2014. (Invited plenary talk and tutorial)

“Large-Scale Brownian Dynamics Simulations,” Georgia Scientific Computing Symposium, Kennesaw State University, Feb. 22, 2014. (Plenary Talk)

“High-Performance Computing and Algorithms for Biomolecular Simulations,” 2012 Frontiers of Information Science and Technology (FIST) Workshop, Shanghai, China, Dec. 9-13, 2012.

“Computational Methods for Studying In Vivo Macromolecular Motion,” Second EITA-Bio Conference, Princeton, NJ, Oct. 27-28, 2012.

“Algorithms for Large-Scale Macromolecular Simulations of the Cell,” Computer Science Department Colloquium, College of William and Mary, Williamsburg, VA, Oct. 12, 2012.

“Orderings and Solvers for Non-Uniform Sparse Matrices,” SIAM Conference on Applied Linear Algebra, Valencia, Spain, June 18-22, 2012.

“New Numerical Linear Algebra Techniques for Brownian Simulation of Macromolecules,” Applied and Computational Mathematics Seminar, School of Mathematics, Georgia Tech, Atlanta, GA, March 26, 2012.

“Solution Methods for Stokesian Dynamics Simulation of Macromolecular Motion”, Computational Mathematics Seminar, Department of Mathematical Sciences, Clemson University, Clemson, SC, Oct. 28, 2011.

Chalk Talk, Scientific Computing Seminar, Department of Mathematics and Computer Science, Emory University, Atlanta, GA, April 15, 2011.

“Iterative Solution Methods for Stokesian Dynamics,” SIAM Conference on Mathematical and Computational Issues in the Geosciences, Long Beach, CA, March 21-24, 2011.

“Load-Balanced Bonded Force Calculations on Anton,” International Supercomputing Conference (ISC’10), Special Session on High Performance Computational Life Sciences—The Challenge for HPC Systems, Hamburg, Germany, May 30-June 3, 2010.

“Load-Balanced Bonded Force Calculations on Anton,” Virginia Polytechnic Institute and State University Department of Mathematics Colloquium, Blacksburg, VA, April 30, 2010.

“Non-MPI Applications,” Sandia CSRI Workshop on Next-Generation Scalable Applications, Santa Fe, NM, June 3-5, 2008.

“Scalable Algorithms for Molecular Dynamics Simulations on Commodity Clusters,” Southern Methodist University Department of Mathematics Research Colloquium, April 18, 2007.

“Scalable Algorithms for Molecular Dynamics Simulations on Commodity Clusters,” Columbia University Applied Mathematics Colloquium, November 28, 2006.

“Applications and Algorithms for Semantic Graphs,” IBM Almaden Research Center, San Jose, CA, April 13, 2005.

“Knowledge Representation Issues in Semantic Graphs for Relationship Detection,” 2005 AAAI Spring Symposium on AI Technologies for Homeland Security, Stanford University, Palo Alto, CA, March 21-23, 2005.

“Distributed Computation for Complex Networks,” SIAM Conference on Computational Science and Engineering, Orlando, FL, Feb. 12-15, 2005.

“A Social Influence Heuristic for Searching Complex Networks,” Hewlett Packard Laboratories, Palo Alto, CA, June 14, 2004.

“Complex Networks and Six Degrees of Separation,” Stanford SCCM Department Colloquium, Stanford University, Palo Alto, CA, Feb. 2, 2004.

A Survey of Incomplete Factorization Preconditioners,” Pacific Institute for Mathematical Sciences Workshop on Numerical Linear Algebra and Applications, Vancouver, Canada, August 4-8, 2003.

“Multilevel Methods Based on Aggregation,” ICIAM 2003, Fifth International Congress on Industrial and Applied Mathematics, Sydney, Australia, July 7-11, 2003.

MATLAB in Numerical Linear Algebra Research” and “Spectral-Type Multilevel Preconditioners,” SIAM Annual Meeting 2003, Montreal, Canada, June 16-20, 2003.

How to use Hybrid MPI-OpenMP on IBM SP Systems,” SIAM Conference on Computational Science and Engineering, San Diego, CA, Feb. 10-13, 2003.

“Multilevel Preconditioners for Finite Element Computations,” SIAM Annual Meeting 2001, San Diego, CA, July 9-13, 2001.

“Hybrid multithreaded/message-passing on SMP clusters,” College of William and Mary Computer Science Department Colloquium, Williamsburg, VA, Oct. 27, 2000.

“Practical Use and Implementation of Sparse Approximate Inverse Preconditioners,” Seventh SIAM Conference on Applied Linear Algebra, Raleigh, NC, Oct. 23-26, 2000.

“Preconditioners for Multiphysics Applications with Slide Surfaces,” First SIAM Conference on Computational Science and Engineering, Washington, DC, Sept. 21-24, 2000.

“Sparse Approximate Inverse Preconditioners,” Parallel Algorithms Seminar, CERFACS, Toulouse, France, Sept. 1, 2000.

“Improving the Scalability of One-Level Preconditioning Methods for Solving Large-Scale Linear Systems,” IMACS World Congress on Scientific Computation, Applied Mathematics and Simulation, Lausanne, Switzerland, Aug. 21-25, 2000.