An interval algorithm for solving systems of linear equations to prespecified accuracy. - James Weldon Demmel; Fritz Krückeberg (Computing, 1985)

On error analysis in arithmetic with varying relative precision. - James Demmel (IEEE Symposium on Computer Arithmetic, 1987)

Three methods for refining estimates of invariant subspaces. - James Weldon Demmel (Computing, 1987)

The geometry of III-conditioning. - James Demmel (J. Complex., 1987)

Theoretical and experimental studies using a multifinger planar manipulator. - James Demmel; Gerardo Lafferriere; Jacob T. Schwartz; Micha Sharir (ICRA, 1988)

Optimal three finger grasps. - James Demmel; Gerardo Lafferriere (ICRA, 1989)

On a Block Implementation of Hessenberg Multishift QR Iteration. - Zhaojun Bai; James Demmel (Int. J. High Speed Comput., 1989)

LAPACK: a portable linear algebra library for high-performance computers. - Edward C. Anderson; Zhaojun Bai; Jack J. Dongarra; Anne Greenbaum; A. McKenney; Jeremy Du Croz; Sven Hammarling; James Demmel; Christian H. Bischof; Danny C. Sorensen (SC, 1990)

Matrix Computations; Second Edition (Gene Golub and Charles F. Van Loan). - James Weldon Demmel (SIAM Rev., 1990)

Accurate Singular Values of Bidiagonal Matrices. - James Demmel; William Kahan (SIAM J. Sci. Comput., 1990)

LAPACK: A portable linear algebra library for high-performance computers. - James Demmel (Concurr. Pract. Exp., 1991)

The Componentwise Distance to the Nearest Singular Matrix. - James Demmel (SIAM J. Matrix Anal. Appl., 1992)

Jacobi's Method is More Accurate than QR. - James Demmel; Kresimir Veselic (SIAM J. Matrix Anal. Appl., 1992)

Stability of block algorithms with fast level-3 BLAS. - James Demmel; Nicholas J. Higham (ACM Trans. Math. Softw., 1992)

Design of a Parallel Nonsymmetric Eigenroutine Toolbox, Part I. - Zhaojun Bai; James Demmel (PPSC, 1993)

LAPACK for Distributed Memory Architectures: The Next Generation. - James Demmel; Jack J. Dongarra; Robert A. van de Geijn; David W. Walker (PPSC, 1993)

A New Algorithm for the Symmetric Tridiagonal Eigenvalue Problem. - Victor Y. Pan; James Demmel (J. Complex., 1993)

Computing the Generalized Singular Value Decomposition. - Zhaojun Bai; James Weldon Demmel (SIAM J. Sci. Comput., 1993)

On computing condition numbers for the nonsymmetric eigenproblem. - Zhaojun Bai; James Demmel; A. McKenney (ACM Trans. Math. Softw., 1993)

The generalized Schur decomposition of an arbitrary pencil A-λB - robust software with error bounds and applications. Part I: theory and algorithms. - James Demmel; Bo Kågström (ACM Trans. Math. Softw., 1993)

The generalized Schur decomposition of an arbitrary pencil A-λB - robust software with error bounds and applications. Part II: software and applications. - James Demmel; Bo Kågström (ACM Trans. Math. Softw., 1993)

Improved Error Bounds for Underdetermined System Solvers. - James Weldon Demmel; Nicholas J. Higham (SIAM J. Matrix Anal. Appl., 1993)

Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods - Richard F. Barrett; Michael W. Berry; Tony F. Chan; James Demmel; June M. Donato; Jack J. Dongarra; Victor Eijkhout; Roldan Pozo; Charles H. Romine; Henk A. van der Vorst (SIAM, 1994)

Faster Numerical Algorithms via Exception Handling. - James Demmel; Xiaoye S. Li (IEEE Trans. Computers, 1994)

Algorithms for intersecting parametric and algebraic curves I: simple intersections. - Dinesh Manocha; James Demmel (ACM Trans. Graph., 1994)

Templates for Linear Algebra Problems. - Zhaojun Bai; David Day; James Demmel; Jack J. Dongarra; Ming Gu 002; Axel Ruhe; Henk A. van der Vorst (Computer Science Today, 1995)

ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance. - Jaeyoung Choi; James Demmel; Inderjit S. Dhillon; Jack J. Dongarra; Susan Ostrouchov; Antoine Petitet; Ken Stanley; David W. Walker; R. Clinton Whaley (PARA, 1995)

The Performance of Finding Eigenvalues and Eigenvaectors of Dense Symmetric Matrices on Distributed Memory Computers. - James Demmel; Ken Stanley (PP, 1995)

Performance of a Parallel Global Atmospheric Chemical Tracer Model. - James Demmel; Sharon Smith (SC, 1995)

Modeling the Benefits of Mixed Data and Task Parallelism. - Soumen Chakrabarti; James Demmel; Katherine A. Yelick (SPAA, 1995)

Algorithms for Intersecting Parametric and Algebraic Curves II: Multiple Intersections. - Dinesh Manocha; James Demmel (CVGIP Graph. Model. Image Process., 1995)

Stability of block LU factorization. - James Weldon Demmel; Nicholas J. Higham; Robert S. Schreiber (Numer. Linear Algebra Appl., 1995)

Practical Experience in the Dangers of Heterogeneous Computing. - Andrew J. Cleary; James Demmel; Inderjit S. Dhillon; Jack J. Dongarra; Sven Hammarling; Antoine Petitet; H. Ren; Ken Stanley; R. Clinton Whaley (PARA, 1996)

ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance. - L. Susan Blackford; Jaeyoung Choi; Andrew J. Cleary; James Demmel; Inderjit S. Dhillon; Jack J. Dongarra; Sven Hammarling; Greg Henry; Antoine Petitet; Ken Stanley; David W. Walker; R. Clinton Whaley (SC, 1996)

Applied Numerical Linear Algebra. - James Demmel (SIAM, 1997)

Using PHiPAC to speed error back-propagation learning. - Jeff A. Bilmes; Krste Asanovic; Chee-Whye Chin; James Demmel (ICASSP, 1997)

Optimizing Matrix Multiply Using PHiPAC: A Portable, High-Performance, ANSI C Coding Methodology. - Jeff A. Bilmes; Krste Asanovic; Chee-Whye Chin; James Demmel (International Conference on Supercomputing, 1997)

ScaLAPACK: A Linear Algebra Library for Message-Passing Computers. - L. Susan Blackford; Jaeyoung Choi; Andrew J. Cleary; Eduardo F. D'Azevedo; James Demmel; Inderjit S. Dhillon; Jack J. Dongarra; Sven Hammarling; Greg Henry; Antoine Petitet; Ken Stanley; David W. Walker; et al. (PP, 1997)

Models and Scheduling Algorithms for Mixed Data and Task Parallel Programs. - Soumen Chakrabarti; James Demmel; Katherine A. Yelick (J. Parallel Distributed Comput., 1997)

The Spectral Decomposition of Nonsymmetric Matrices on Distributed Memory Parallel Computers. - Zhaojun Bai; James Demmel; Jack J. Dongarra; Antoine Petitet; Howard Robinson; Ken Stanley (SIAM J. Sci. Comput., 1997)

Practical Experience in the Numerical Dangers of Heterogeneous Computing. - L. Susan Blackford; Andrew J. Cleary; Antoine Petitet; R. Clinton Whaley; James Demmel; Inderjit S. Dhillon; H. Ren; Ken Stanley; Jack J. Dongarra; Sven Hammarling (ACM Trans. Math. Softw., 1997)

Making Sparse Gaussian Elimination Scalable by Static Pivoting. - Xiaoye S. Li; James Demmel (SC, 1998)

Programming Tools and Environments. - Joel H. Saltz; Alan Sussman; Susan L. Graham; James Demmel; Scott B. Baden; Jack J. Dongarra (Commun. ACM, 1998)

Using the Matrix Sign Function to Compute Invariant Subspaces. - Zhaojun Bai; James Demmel (SIAM J. Matrix Anal. Appl., 1998)

LAPACK Users' Guide, Third Edition - Edward C. Anderson; Zhaojun Bai; Christian H. Bischof; L. Susan Blackford; James Demmel; Jack J. Dongarra; Jeremy Du Croz; Anne Greenbaum; Sven Hammarling; A. McKenney; Danny C. Sorensen (SIAM, 1999)

A Scalable Sparse Direct Solver Using Static Pivoting. - Xiaoye S. Li; James Demmel (PP, 1999)

Parallel Multigrid Solver for 3D Unstructured Finite Element Problems. - Mark Adams; Jim Demmel (SC, 1999)

Making Sparse Matrix Computations Scalable (Invited Talk Abstract). - James Demmel (SPAA, 1999)

A Supernodal Approach to Sparse Partial Pivoting. - James Weldon Demmel; Stanley C. Eisenstat; John R. Gilbert; Xiaoye S. Li; Joseph W. H. Liu (SIAM J. Matrix Anal. Appl., 1999)

An Asynchronous Parallel Supernodal Algorithm for Sparse Gaussian Elimination. - James Weldon Demmel; John R. Gilbert; Xiaoye S. Li (SIAM J. Matrix Anal. Appl., 1999)

Non-Hermitian Eigenvalue Problems. - T. Chen; James Demmel; Ming Gu 002; Yousef Saad; Richard B. Lehoucq; Danny C. Sorensen; Kristyn J. Maschhoff; Zhaojun Bai; David Day; Roland W. Freund; Gerard L. G. Sleijpen; Henk A. van der Vorst; et al. (Templates for the Solution of Algebraic Eigenvalue Problems, 2000)

A Brief Tour of Eigenproblems. - James Demmel (Templates for the Solution of Algebraic Eigenvalue Problems, 2000)

Singular Value Decomposition. - James Demmel (Templates for the Solution of Algebraic Eigenvalue Problems, 2000)

Common Issues. - Jack J. Dongarra; Plamen Koev; Xiaoye S. Li; James Demmel; Henk A. van der Vorst (Templates for the Solution of Algebraic Eigenvalue Problems, 2000)

On Iterative Krylov-Dogleg Trust-Region Steps for Solving Neural Networks Nonlinear Least Squares Problems. - Eiji Mizutani; James Demmel (NIPS, 2000)

Code Generators for Automatic Tuning of Numerical Kernels: Experiences with FFTW. - Rich Vuduc; James Demmel (SAIG, 2000)

Accurate Singular Value Decompositions of Structured Matrices. - James Demmel (SIAM J. Matrix Anal. Appl., 2000)

Computing Connecting Orbits via an Improved Algorithm for Continuing Invariant Subspaces. - James Weldon Demmel; Luca Dieci; Mark J. Friedman (SIAM J. Sci. Comput., 2000)

A Data Broker for Distributed Computing Environments. - Leroy Anthony Drummond; James Demmel; Carlos R. Mechoso; Howard Robinson; Keith Sklower; Joseph A. Spahr (International Conference on Computational Science (1), 2001)

Statistical Models for Automatic Performance Tuning. - Rich Vuduc; James Demmel; Jeff A. Bilmes (International Conference on Computational Science (1), 2001)

On the Complexity of Computing Error Bounds. - James Demmel; Benjamin Diament; Gregorio Malajovich (Found. Comput. Math., 2001)

Performance optimizations and bounds for sparse matrix-vector multiply. - Rich Vuduc; James Demmel; Katherine A. Yelick; Shoaib Kamil 001; Rajesh Nishtala; Benjamin C. Lee (SC, 2002)

On computing givens rotations reliably and efficiently. - David Bindel; James Demmel; William Kahan; Osni Marques (ACM Trans. Math. Softw., 2002)

Design, implementation and testing of extended and mixed precision BLAS. - Xiaoye S. Li; James Demmel; David H. Bailey; Greg Henry; Yozo Hida; Jimmy Iskandar; William Kahan; Suh Y. Kang; Anil Kapur; Michael C. Martin; Brandon Thompson; Teresa Tung; et al. (ACM Trans. Math. Softw., 2002)

Memory Hierarchy Optimizations and Performance ounds for Sparse A. - Rich Vuduc; Attila Gyulassy; James Demmel; Katherine A. Yelick (International Conference on Computational Science, 2003)

On sparsity-exploiting memory-efficient trust-region regularized nonlinear least squares algorithms for neural-network learning. - Eiji Mizutani; James Weldon Demmel (IJCNN, 2003)

Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply. - Eiji Mizutani; James Demmel (NIPS, 2003)

On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learning. - Eiji Mizutani; James Demmel (Neural Networks, 2003)

SuperLU_DIST: A scalable distributed-memory sparse direct solver for unsymmetric linear systems. - Xiaoye S. Li; James Demmel (ACM Trans. Math. Softw., 2003)

Performance Models for Evaluation and Automatic Tuning of Symmetric Sparse Matrix-Vector Multiply. - Benjamin C. Lee; Richard W. Vuduc; James Demmel; Katherine A. Yelick (ICPP, 2004)

Model Reduction for RF MEMS Simulation. - David Bindel; Zhaojun Bai; James Demmel (PARA, 2004)

Performance Tuning of Matrix Triple Products Based on Matrix Structure. - Eun-Jin Im; Ismail Bustany; Cleve Ashcraft; James Demmel; Katherine A. Yelick (PARA, 2004)

Statistical Models for Empirical Search-Based Performance Tuning. - Richard W. Vuduc; James Demmel; Jeff A. Bilmes (Int. J. High Perform. Comput. Appl., 2004)

Fast and Accurate Floating Point Summation with Application to Computational Geometry. - James Demmel; Yozo Hida (Numer. Algorithms, 2004)

Accurate SVDs of weakly diagonally dominant M-matrices. - James Demmel; Plamen Koev (Numerische Mathematik, 2004)

Accurate and Efficient Floating Point Summation. - James Demmel; Yozo Hida (SIAM J. Sci. Comput., 2004)

Toward accurate polynomial evaluation in rounded arithmetic (short report). - James Demmel; Ioana Dumitriu; Olga Holtz (Algebraic and Numerical Algorithms and Computer-assisted Proofs, 2005)

Bifurcation Analysis of Large Equilibrium Systems in Matlab. - David Bindel; James Demmel; Mark J. Friedman; Willy Govaerts; Yuri A. Kuznetsov (International Conference on Computational Science (1), 2005)

Second-order backpropagation algorithms for a stagewise-partitioned separable Hessian matrix. - Eiji Mizutani; Stuart E. Dreyfus; James Weldon Demmel (IJCNN, 2005)

Toward accurate polynomial evaluation in rounded arithmetic - James Demmel; Ioana Dumitriu; Olga Holtz (CoRR, 2005)

Minimum Ellipsoid Bounds for Solutions of Polynomial Systems via Sum of Squares. - Jiawang Nie; James Demmel (J. Glob. Optim., 2005)

The Accurate and Efficient Solution of a Totally Positive Generalized Vandermonde Linear System. - James Demmel; Plamen Koev (SIAM J. Matrix Anal. Appl., 2005)

Prospectus for the Next LAPACK and ScaLAPACK Libraries. - James Demmel; Jack J. Dongarra; Beresford N. Parlett; William Kahan; Ming Gu 002; David Bindel; Yozo Hida; Xiaoye S. Li; Osni Marques; E. Jason Riedy; Christof Vömel; Julien Langou; et al. (PARA, 2006)

Automatic Performance Tuning for the Multi-section with Multiple Eigenvalues Method for Symmetric Tridiagonal Eigenproblems. - Takahiro Katagiri; Christof Vömel; James Demmel (PARA, 2006)

Wireless sensor networks for structural health monitoring. - Sukun Kim; Shamim Pakzad; David E. Culler; James Demmel; Gregory Fenves; Steven D. Glaser; Martin Turon (SenSys, 2006)

Accurate and efficient evaluation of Schur and Jack functions. - James Demmel; Plamen Koev (Math. Comput., 2006)

Minimizing Polynomials via Sum of Squares over the Gradient Ideal. - Jiawang Nie; James Demmel; Bernd Sturmfels (Math. Program., 2006)

Error bounds from extra-precise iterative refinement. - James Demmel; Yozo Hida; William Kahan; Xiaoye S. Li; Sonil Mukherjee; E. Jason Riedy (ACM Trans. Math. Softw., 2006)

Health monitoring of civil infrastructures using wireless sensor networks. - Sukun Kim; Shamim Pakzad; David E. Culler; James Demmel; Gregory Fenves; Steven D. Glaser; Martin Turon (IPSN, 2007)

When cache blocking of sparse matrix vector multiply works and why. - Rajesh Nishtala; Richard W. Vuduc; James Demmel; Katherine A. Yelick (Appl. Algebra Eng. Commun. Comput., 2007)

Accurate and Efficient Expression Evaluation and Linear Algebra - James Demmel; Ioana Dumitriu; Olga Holtz; Plamen Koev (CoRR, 2007)

Fast linear algebra is stable. - James Demmel; Ioana Dumitriu; Olga Holtz (Numerische Mathematik, 2007)

Fast matrix multiplication is stable. - James Demmel; Ioana Dumitriu; Olga Holtz; Robert Kleinberg (Numerische Mathematik, 2007)

Parallel Symbolic Factorization for Sparse LU with Static Pivoting. - Laura Grigori; James Demmel; Xiaoye S. Li (SIAM J. Sci. Comput., 2007)

Prospectus for a Dense Linear Algebra Software Library. - Yozo Hida; James Demmel; Julien Langou; Jakub Kurzak; Ming Gu 002; Alfredo Buttari; Stanimire Tomov; Piotr Luszczek; Julie Langou; Osni Marques; Christof Vömel; Xiaoye S. Li; et al. (Handbook of Parallel Computing, 2007)

Avoiding communication in sparse matrix computations. - James Demmel; Mark Hoemmen; Marghoob Mohiyuddin; Katherine A. Yelick (IPDPS, 2008)

Communication avoiding Gaussian elimination. - Laura Grigori; James Demmel; Hua Xiang 002 (SC, 2008)

Benchmarking GPUs to tune dense linear algebra. - Vasily Volkov; James Demmel (SC, 2008)

Communication-avoiding parallel and sequential QR factorizations - James Demmel; Laura Grigori; Mark Hoemmen; Julien Langou (CoRR, 2008)

Global minimization of rational functions and the nearest GCDs. - Jiawang Nie; James Demmel; Ming Gu 002 (J. Glob. Optim., 2008)

Sparse SOS Relaxations for Minimizing Functions that are Summations of Small Polynomials. - Jiawang Nie; James Demmel (SIAM J. Optim., 2008)

Continuation of Invariant Subspaces in Large Bifurcation Problems. - David Bindel; James Demmel; Mark J. Friedman (SIAM J. Sci. Comput., 2008)

Performance and Accuracy of LAPACK's Symmetric Tridiagonal Eigensolvers. - James Demmel; Osni Marques; Beresford N. Parlett; Christof Vömel (SIAM J. Sci. Comput., 2008)

Cache efficient bidiagonalization using BLAS 2.5 operators. - Gary W. Howell; James Demmel; Charles T. Fulton; Sven Hammarling; Karen Marmol (ACM Trans. Math. Softw., 2008)

Algorithm 880: A testing infrastructure for symmetric tridiagonal eigensolvers. - Osni Marques; Christof Vömel; James Demmel; Beresford N. Parlett (ACM Trans. Math. Softw., 2008)

Minimizing communication in sparse matrix solvers. - Marghoob Mohiyuddin; Mark Hoemmen; James Demmel; Katherine A. Yelick (SC, 2009)

Communication-optimal parallel and sequential Cholesky decomposition: extended abstract. - Grey Ballard; James Demmel; Olga Holtz; Oded Schwartz (SPAA, 2009)

A view of the parallel computing landscape. - Krste Asanovic; Rastislav Bodík; James Demmel; Tony M. Keaveny; Kurt Keutzer; John Kubiatowicz; Nelson Morgan; David A. Patterson 001; Koushik Sen; John Wawrzynek; David Wessel; Katherine A. Yelick (Commun. ACM, 2009)

Minimizing Communication in Linear Algebra - Grey Ballard; James Demmel; Olga Holtz; Oded Schwartz (CoRR, 2009)

Optimization of sparse matrix-vector multiplication on emerging multicore platforms. - Samuel Williams 001; Leonid Oliker; Richard W. Vuduc; John Shalf; Katherine A. Yelick; James Demmel (Parallel Comput., 2009)

Nonnegative Diagonals and High Performance on Low-Profile Matrices from Householder QR. - James Demmel; Mark Hoemmen; Yozo Hida; E. Jason Riedy (SIAM J. Sci. Comput., 2009)

Extra-Precise Iterative Refinement for Overdetermined Least Squares Problems. - James Demmel; Yozo Hida; E. Jason Riedy; Xiaoye S. Li (ACM Trans. Math. Softw., 2009)

Brief announcement: Lower bounds on communication for sparse Cholesky factorization of a model problem. - Laura Grigori; Pierre-Yves David; James Demmel; Sylvain Peyronnet (SPAA, 2010)

Minimizing Communication for Eigenproblems and the Singular Value Decomposition - Grey Ballard; James Demmel; Ioana Dumitriu (CoRR, 2010)

Communication-optimal Parallel and Sequential Cholesky Decomposition. - Grey Ballard; James Demmel; Olga Holtz; Oded Schwartz (SIAM J. Sci. Comput., 2010)

Avoiding Communication in Numerical Linear Algebra. - James Demmel (ALENEX, 2011)

Communication-Optimal Parallel 2.5D Matrix Multiplication and LU Factorization Algorithms. - Edgar Solomonik; James Demmel (Euro-Par (2), 2011)

Rethinking algorithms for future architectures: Communication-avoiding algorithms. - Jim Demmel (Hot Chips Symposium, 2011)

On improving trust-region variable projection algorithms for separable nonlinear least squares learning. - Eiji Mizutani; James Demmel (IJCNN, 2011)

Communication-Avoiding QR Decomposition for GPUs. - Michael J. Anderson; Grey Ballard; James Demmel; Kurt Keutzer (IPDPS, 2011)

Reduced-Bandwidth Multithreaded Algorithms for Sparse Matrix-Vector Multiplication. - Aydin Buluç; Samuel Williams 001; Leonid Oliker; James Demmel (IPDPS, 2011)

Improving communication performance in dense linear algebra via topology aware collectives. - Edgar Solomonik; Abhinav Bhatele; James Demmel (SC, 2011)

Accurate and efficient expression evaluation and linear algebra, or why it can be easier to compute accurate eigenvalues of a Vandermonde matrix than the accurate sum of 3 numbers. - James Demmel (SNC, 2011)

Brief announcement: communication bounds for heterogeneous architectures. - Grey Ballard; James Demmel; Andrew Gearhart (SPAA, 2011)

Graph expansion and communication costs of fast matrix multiplication: regular submission. - Grey Ballard; James Demmel; Olga Holtz; Oded Schwartz (SPAA, 2011)

Minimizing Communication in Numerical Linear Algebra. - Grey Ballard; James Demmel; Olga Holtz; Oded Schwartz (SIAM J. Matrix Anal. Appl., 2011)

CALU: A Communication Optimal LU Factorization Algorithm. - Laura Grigori; James Demmel; Hua Xiang 002 (SIAM J. Matrix Anal. Appl., 2011)

SuperLU. - Xiaoye Sherry Li; James Demmel; John R. Gilbert; Laura Grigori; Meiyue Shao (Encyclopedia of Parallel Computing, 2011)

Graph Expansion Analysis for Communication Costs of Fast Rectangular Matrix Multiplication. - Grey Ballard; James Demmel; Olga Holtz; Benjamin Lipshitz; Oded Schwartz (MedAlg, 2012)

Communication avoiding successive band reduction. - Grey Ballard; James Demmel; Nicholas Knight (PPoPP, 2012)

Communication avoiding algorithms. - Jim Demmel (SC Companion, 2012)

Poster: Beating MKL and ScaLAPACK at Rectangular Matrix Multiplication Using the BFS/DFS Approach. - James Demmel; David Eliahu; Armando Fox; Shoaib Kamil 001; Benjamin Lipshitz; Oded Schwartz; Omer Spillinger (SC Companion, 2012)

Communication-avoiding parallel strassen: implementation and performance. - Benjamin Lipshitz; Grey Ballard; James Demmel; Oded Schwartz (SC, 2012)

Brief announcement: strong scaling of matrix multiplication algorithms and memory-independent communication lower bounds. - Grey Ballard; James Demmel; Olga Holtz; Benjamin Lipshitz; Oded Schwartz (SPAA, 2012)

Communication-optimal parallel algorithm for strassen's matrix multiplication. - Grey Ballard; James Demmel; Olga Holtz; Benjamin Lipshitz; Oded Schwartz (SPAA, 2012)

Matrix Multiplication on Multidimensional Torus Networks. - Edgar Solomonik; James Demmel (VECPAR, 2012)

Strong Scaling of Matrix Multiplication Algorithms and Memory-Independent Communication Lower Bounds - Grey Ballard; James Demmel; Olga Holtz; Benjamin Lipshitz; Oded Schwartz (CoRR, 2012)

Graph expansion and communication costs of fast matrix multiplication. - Grey Ballard; James Demmel; Olga Holtz; Oded Schwartz (J. ACM, 2012)

Communication-optimal Parallel and Sequential QR and LU Factorizations. - James Demmel; Laura Grigori; Mark Hoemmen; Julien Langou (SIAM J. Sci. Comput., 2012)

Fast ℓ1-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime. - Mark Murphy; Marcus T. Alley; James Demmel; Kurt Keutzer; Shreyas Vasanawala; Michael Lustig (IEEE Trans. Medical Imaging, 2012)

Fast Reproducible Floating-Point Summation. - James Demmel; Hong Diep Nguyen (IEEE Symposium on Computer Arithmetic, 2013)

Numerical Reproducibility and Accuracy at ExaScale. - James Demmel; Hong Diep Nguyen (IEEE Symposium on Computer Arithmetic, 2013)

Direct QR factorizations for tall-and-skinny matrices in MapReduce architectures. - Austin R. Benson; David F. Gleich; James Demmel (IEEE BigData, 2013)

Implementing a Blocked Aasen's Algorithm with a Dynamic Scheduler on Multicore Architectures. - Grey Ballard; Dulceneia Becker; James Demmel; Jack J. Dongarra; Alex Druinsky; Inon Peled; Oded Schwartz; Sivan Toledo; Ichitaro Yamazaki (IPDPS, 2013)

Communication-Avoiding Algorithms for Linear Algebra and Beyond. - James Demmel (IPDPS, 2013)

Communication-Optimal Parallel Recursive Rectangular Matrix Multiplication. - James Demmel; David Eliahu; Armando Fox; Shoaib Kamil 001; Benjamin Lipshitz; Oded Schwartz; Omer Spillinger (IPDPS, 2013)

Perfect Strong Scaling Using No Additional Energy. - James Demmel; Andrew Gearhart; Benjamin Lipshitz; Oded Schwartz (IPDPS, 2013)

Minimizing Communication in All-Pairs Shortest Paths. - Edgar Solomonik; Aydin Buluç; James Demmel (IPDPS, 2013)

Cyclops Tensor Framework: Reducing Communication and Eliminating Load Imbalance in Massively Parallel Contractions. - Edgar Solomonik; Devin Matthews; Jeff R. Hammond; James Demmel (IPDPS, 2013)

Exploiting Data Sparsity in Parallel Matrix Powers Computations. - Nicholas Knight; Erin C. Carson; James Demmel (PPAM (1), 2013)

Precimonious: tuning assistant for floating-point precision. - Cindy Rubio-González; Cuong Nguyen 001; Hong Diep Nguyen; James Demmel; William Kahan; Koushik Sen; David H. Bailey; Costin Iancu; David Hough 001 (SC, 2013)

Communication optimal parallel multiplication of sparse random matrices. - Grey Ballard; Aydin Buluç; James Demmel; Laura Grigori; Benjamin Lipshitz; Oded Schwartz; Sivan Toledo (SPAA, 2013)

Communication efficient gaussian elimination with partial pivoting using a shape morphing data layout. - Grey Ballard; James Demmel; Benjamin Lipshitz; Oded Schwartz; Sivan Toledo (SPAA, 2013)

Providing a supported online course on parallel computing. - Steven I. Gordon; Jay Alameda; James Demmel; Razvan Carbunescu; Susan Mehringer (XSEDE, 2013)

Communication lower bounds and optimal algorithms for programs that reference arrays - Part 1. - Michael Christ; James Demmel; Nicholas Knight; Thomas Scanlon; Katherine A. Yelick (CoRR, 2013)

LU Factorization with Panel Rank Revealing Pivoting and Its Communication Avoiding Version. - Amal Khabou; James Demmel; Laura Grigori; Ming Gu 002 (SIAM J. Matrix Anal. Appl., 2013)

Avoiding Communication in Nonsymmetric Lanczos-Based Krylov Subspace Methods. - Erin C. Carson; Nicholas Knight; James Demmel (SIAM J. Sci. Comput., 2013)

Author retrospective for optimizing matrix multiply using PHiPAC: a portable high-performance ANSI C coding methodology. - Jeff A. Bilmes; Krste Asanovic; Chee-Whye Chin; Jim Demmel (ICS 25th Anniversary, 2014)

Reconstructing Householder Vectors from Tall-Skinny QR. - Grey Ballard; James Demmel; Laura Grigori; Mathias Jacquelin; Hong Diep Nguyen; Edgar Solomonik (IPDPS, 2014)

s-Step Krylov Subspace Methods as Bottom Solvers for Geometric Multigrid. - Samuel Williams 001; Mike Lijewski; Ann S. Almgren; Brian van Straalen; Erin C. Carson; Nicholas Knight; James Demmel (IPDPS, 2014)

Tradeoffs between synchronization, communication, and computation in parallel linear algebra computations. - Edgar Solomonik; Erin C. Carson; Nicholas Knight; James Demmel (SPAA, 2014)

Architecting an autograder for parallel code. - Razvan Carbunescu; Aditya Devarakonda; James Demmel; Steven I. Gordon; Jay Alameda; Susan Mehringer (XSEDE, 2014)

Communication lower bounds and optimal algorithms for numerical linear algebra. - Grey Ballard; Erin C. Carson; James Demmel; Mark Hoemmen; Nicholas Knight; Oded Schwartz (Acta Numer., 2014)

Communication costs of Strassen's matrix multiplication. - Grey Ballard; James Demmel; Olga Holtz; Oded Schwartz (Commun. ACM, 2014)

A massively parallel tensor contraction framework for coupled-cluster computations. - Edgar Solomonik; Devin Matthews; Jeff R. Hammond; John F. Stanton; James Demmel (J. Parallel Distributed Comput., 2014)

Communication-Avoiding Symmetric-Indefinite Factorization. - Grey Ballard; Dulceneia Becker; James Demmel; Jack J. Dongarra; Alex Druinsky; Inon Peled; Oded Schwartz; Sivan Toledo; Ichitaro Yamazaki (SIAM J. Matrix Anal. Appl., 2014)

A Residual Replacement Strategy for Improving the Maximum Attainable Accuracy of s-Step Krylov Subspace Methods. - Erin C. Carson; James Demmel (SIAM J. Matrix Anal. Appl., 2014)

Reproducible Tall-Skinny QR. - Hong Diep Nguyen; James Demmel (ARITH, 2015)

CA-SVM: Communication-Avoiding Support Vector Machines on Distributed Systems. - Yang You 001; James Demmel; Kenneth Czechowski; Le Song; Richard W. Vuduc (IPDPS, 2015)

Extending access to HPC skills through a blended online course. - Steven I. Gordon; James Demmel; Lizanne DeStefano; Lorna Rivera (XSEDE, 2015)

Reconstructing Householder vectors from Tall-Skinny QR. - Grey Ballard; James Demmel; Laura Grigori; Mathias Jacquelin; Nicholas Knight; Hong Diep Nguyen (J. Parallel Distributed Comput., 2015)

Accuracy of the s-Step Lanczos Method for the Symmetric Eigenproblem in Finite Precision. - Erin C. Carson; James Weldon Demmel (SIAM J. Matrix Anal. Appl., 2015)

Communication Avoiding Rank Revealing QR Factorization with Column Pivoting. - James Demmel; Laura Grigori; Ming Gu 002; Hua Xiang 002 (SIAM J. Matrix Anal. Appl., 2015)

Parallel Reproducible Summation. - James Demmel; Hong Diep Nguyen (IEEE Trans. Computers, 2015)

Avoiding Communication in Successive Band Reduction. - Grey Ballard; James Demmel; Nicholas Knight (ACM Trans. Parallel Comput., 2015)

Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies. - Alex Gittens; Aditya Devarakonda; Evan Racah; Michael F. Ringenburg; Lisa Gerhardt; Jey Kottalam; Jialin Liu 002; Kristyn J. Maschhoff; Shane Canon; Jatin Chhugani; Pramod Sharma; Jiyan Yang; et al. (IEEE BigData, 2016)

Floating-point precision tuning using blame analysis. - Cindy Rubio-González; Cuong Nguyen 001; Benjamin Mehne; Koushik Sen; James Demmel; William Kahan; Costin Iancu; Wim Lavrijsen; David H. Bailey; David Hough 001 (ICSE, 2016)

Write-Avoiding Algorithms. - Erin C. Carson; James Demmel; Laura Grigori; Nicholas Knight; Penporn Koanantakool; Oded Schwartz; Harsha Vardhan Simhadri (IPDPS, 2016)

Asynchronous Parallel Greedy Coordinate Descent. - Yang You 001; Xiangru Lian; Ji Liu 002; Hsiang-Fu Yu; Inderjit S. Dhillon; James Demmel; Cho-Jui Hsieh (NIPS, 2016)

Network Topologies and Inevitable Contention. - Grey Ballard; James Demmel; Andrew Gearhart; Benjamin Lipshitz; Yishai Oltchik; Oded Schwartz; Sivan Toledo (COMHPC@SC, 2016)

Parallelepipeds obtaining HBL lower bounds. - James Demmel; Alex Rusciano (CoRR, 2016)

Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies. - Alex Gittens; Aditya Devarakonda; Evan Racah; Michael F. Ringenburg; Lisa Gerhardt; Jey Kottalam; Jialin Liu 002; Kristyn J. Maschhoff; Shane Canon; Jatin Chhugani; Pramod Sharma; Jiyan Yang; et al. (CoRR, 2016)

Implementing a Collaborative Online Course to Extend Access to HPC Skills. - Steven I. Gordon; James Demmel; Lizanne DeStefano; Lorna Rivera (Comput. Sci. Eng., 2016)

Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication. - Ariful Azad; Grey Ballard; Aydin Buluç; James Demmel; Laura Grigori; Oded Schwartz; Sivan Toledo; Samuel Williams 001 (SIAM J. Sci. Comput., 2016)

Runtime Data Layout Scheduling for Machine Learning Dataset. - Yang You 001; James Demmel (ICPP, 2017)

Scaling deep learning on GPU and knights landing clusters. - Yang You 001; Aydin Buluç; James Demmel (SC, 2017)

A Communication-Avoiding Parallel Algorithm for the Symmetric Eigenvalue Problem. - Edgar Solomonik; Grey Ballard; James Demmel; Torsten Hoefler (SPAA, 2017)

100-epoch ImageNet Training with AlexNet in 24 Minutes. - Yang You 001; Zhao Zhang 007; Cho-Jui Hsieh; James Demmel (CoRR, 2017)

Avoiding Communication in Proximal Methods for Convex Optimization Problems. - Saeed Soori; Aditya Devarakonda; James Demmel; Mert Gürbüzbalaban; Maryam Mehri Dehnavi (CoRR, 2017)

Design and Implementation of a Communication-Optimal Classifier for Distributed Kernel Support Vector Machines. - Yang You 001; James Demmel; Kent Czechowski; Le Song; Rich Vuduc (IEEE Trans. Parallel Distributed Syst., 2017)

Augmented Arithmetic Operations Proposed for IEEE-754 2018. - E. Jason Riedy; James Demmel (ARITH, 2018)

Reducing Communication in Proximal Newton Methods for Sparse Least Squares Problems. - Saeed Soori; Aditya Devarakonda; Zachary Blanco; James Demmel; Mert Gürbüzbalaban; Maryam Mehri Dehnavi (ICPP, 2018)

ImageNet Training in Minutes. - Yang You 001; Zhao Zhang 007; Cho-Jui Hsieh; James Demmel; Kurt Keutzer (ICPP, 2018)

Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. - Yang You 001; James Demmel; Cho-Jui Hsieh; Richard W. Vuduc (ICS, 2018)

Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization. - Aditya Devarakonda; Kimon Fountoulakis; James Demmel; Michael W. Mahoney (IPDPS, 2018)

A 3D Parallel Algorithm for QR Decomposition. - Grey Ballard; James Demmel; Laura Grigori; Mathias Jacquelin; Nicholas Knight (SPAA, 2018)

Communication-Optimal Convolutional Neural Nets. - James Demmel; Grace Dinh (CoRR, 2018)

Low Rank Approximation of a Sparse Matrix Based on LU Factorization with Column and Row Tournament Pivoting. - Laura Grigori; Sébastien Cayrols; James Weldon Demmel (SIAM J. Sci. Comput., 2018)

Fast LSTM Inference by Dynamic Decomposition on Cloud Systems. - Yang You 001; Yuxiong He; Samyam Rajbhandari; Wenhan Wang; Cho-Jui Hsieh; Kurt Keutzer; James Demmel (ICDM, 2019)

Large-batch training for LSTM and beyond. - Yang You 001; Jonathan Hseu; Chris Ying; James Demmel; Kurt Keutzer; Cho-Jui Hsieh (SC, 2019)

Reducing BERT Pre-Training Time from 3 Days to 76 Minutes. - Yang You 001; Jing Li; Jonathan Hseu; Xiaodan Song; James Demmel; Cho-Jui Hsieh (CoRR, 2019)

Parallel and Communication Avoiding Least Angle Regression. - Swapnil Das; Jim Demmel; Kimon Fountoulakis; Laura Grigori; Michael W. Mahoney (CoRR, 2019)

Multitask and Transfer Learning for Autotuning Exascale Applications. - Wissam M. Sid-Lakhdar; Mohsen Mahmoudi Aznaveh; Xiaoye S. Li; James Weldon Demmel (CoRR, 2019)

A Generalized Randomized Rank-Revealing Factorization. - Grey Ballard; James Demmel; Ioana Dumitriu; Alexander Rusciano (CoRR, 2019)

An improved analysis and unified perspective on deterministic and randomized low rank matrix approximations. - James Demmel; Laura Grigori; Alexander Rusciano (CoRR, 2019)

Avoiding Communication in Primal and Dual Block Coordinate Descent Methods. - Aditya Devarakonda; Kimon Fountoulakis; James Demmel; Michael W. Mahoney (SIAM J. Sci. Comput., 2019)

Fast Deep Neural Network Training on Distributed Systems and Cloud TPUs. - Yang You 001; Zhao Zhang 007; Cho-Jui Hsieh; James Demmel; Kurt Keutzer (IEEE Trans. Parallel Distributed Syst., 2019)

Avoiding Communication in Logistic Regression. - Aditya Devarakonda; James Demmel (HiPC, 2020)

Rethinking the Value of Asynchronous Solvers for Distributed Deep Learning. - Arissa Wongpanich; Yang You 001; James Demmel (HPC Asia, 2020)

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes. - Yang You 001; Jing Li; Sashank J. Reddi; Jonathan Hseu; Sanjiv Kumar; Srinadh Bhojanapalli; Xiaodan Song; James Demmel; Kurt Keutzer; Cho-Jui Hsieh (ICLR, 2020)

Communication-Optimal Tilings for Projective Nested Loops with Arbitrary Bounds. - Grace Dinh; James Demmel (SPAA, 2020)

The Limit of the Batch Size. - Yang You 001; Yuhui Wang; Huan Zhang 001; Zhao Zhang 007; James Demmel; Cho-Jui Hsieh (CoRR, 2020)

Fast LSTM by dynamic decomposition on cloud and distributed systems. - Yang You 001; Yuxiong He; Samyam Rajbhandari; Wenhan Wang; Cho-Jui Hsieh; Kurt Keutzer; James Demmel (Knowl. Inf. Syst., 2020)

Algorithms for Efficient Reproducible Floating Point Summation. - Willow Ahrens; James Demmel; Hong Diep Nguyen (ACM Trans. Math. Softw., 2020)

Bidiagonal SVD Computation via an Associated Tridiagonal Eigenproblem. - Osni Marques; James Demmel; Paulo B. Vasconcelos (ACM Trans. Math. Softw., 2020)

Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. - Arissa Wongpanich; Hieu Pham 001; James Demmel; Mingxing Tan; Quoc V. Le; Yang You 001; Sameer Kumar (IPDPS Workshops, 2021)

CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. - Qijing Huang 001; Aravind Kalaiah; Minwoo Kang; James Demmel; Grace Dinh; John Wawrzynek; Thomas Norell; Yakun Sophia Shao (ISCA, 2021)

Enhancing Autotuning Capability with a History Database. - Younghyun Cho; James Demmel; Xiaoye S. Li; Yang Liu 179; Hengrui Luo (MCSoC, 2021)

GPTune: multitask learning for autotuning exascale applications. - Yang Liu 179; Wissam M. Sid-Lakhdar; Osni Marques; Xinran Zhu; Chang Meng; James Weldon Demmel; Xiaoye S. Li (PPoPP, 2021)

Dynamic scaling for low-precision learning. - Ruobing Han; Min Si; James Demmel; Yang You 001 (PPoPP, 2021)

Auto-Precision Scaling for Distributed Deep Learning. - Ruobing Han; James Demmel; Yang You 001 (ISC, 2021)

Communication-avoiding kernel ridge regression on parallel and distributed systems. - Yang You 001; Jingyue Huang; Cho-Jui Hsieh; Richard W. Vuduc; James Demmel (CCF Trans. High Perform. Comput., 2021)

Fast Bilinear Algorithms for Symmetric Tensor Contractions. - Edgar Solomonik; James Demmel (Comput. Methods Appl. Math., 2021)

Non-smooth Bayesian Optimization in Tuning Problems. - Hengrui Luo; James Weldon Demmel; Younghyun Cho; Xiaoye S. Li; Yang Liu 179 (CoRR, 2021)

Parallel and Communication Avoiding Least Angle Regression. - Swapnil Das; James Demmel; Kimon Fountoulakis; Laura Grigori; Michael W. Mahoney; Shenghao Yang 002 (SIAM J. Sci. Comput., 2021)

Communication Lower Bounds of Bilinear Algorithms for Symmetric Tensor Contractions. - Edgar Solomonik; James Demmel; Torsten Hoefler (SIAM J. Sci. Comput., 2021)

Proposed Consistent Exception Handling for the BLAS and LAPACK. - James Demmel; Jack J. Dongarra; Mark Gates; Greg Henry; Julien Langou; Xiaoye S. Li; Piotr Luszczek; Weslley S. Pereira; E. Jason Riedy; Cindy Rubio-González (Correctness@SC, 2022)

Distributed-Memory Sparse Kernels for Machine Learning. - Vivek Bharadwaj; Aydin Buluç; James Demmel (IPDPS, 2022)

Communication bounds for convolutional neural networks. - Anthony Chen; James Demmel; Grace Dinh; Mason Haberle; Olga Holtz (PASC, 2022)

Hybrid Models for Mixed Variables in Bayesian Optimization. - Hengrui Luo; Younghyun Cho; James Weldon Demmel; Xiaoye S. Li; Yang Liu 179 (CoRR, 2022)

Harnessing the Crowd for Autotuning High-Performance Computing Applications. - Younghyun Cho; James Weldon Demmel; Jacob King; Xiaoye S. Li; Yang Liu 179; Hengrui Luo (IPDPS, 2023)

Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition. - Vivek Bharadwaj; Osman Asif Malik; Riley Murray; Laura Grigori; Aydin Buluç; James Demmel (NeurIPS, 2023)

Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software. - Riley Murray; James Demmel; Michael W. Mahoney; N. Benjamin Erichson; Maksim Melnichenko; Osman Asif Malik; Laura Grigori; Piotr Luszczek; Michal Derezinski; Miles E. Lopes; Tianyu Liang; Hengrui Luo; et al. (CoRR, 2023)

Generalized Pseudospectral Shattering and Inverse-Free Matrix Pencil Diagonalization. - James Demmel; Ioana Dumitriu; Ryan Schneider (CoRR, 2023)

Computron: Serving Distributed Deep Learning Models with Model Parallel Swapping. - Daniel Zou; Xinchen Jin; Xueyang Yu; Hao Zhang; James Demmel (CoRR, 2023)

Fast multiplication of random dense matrices with fixed sparse matrices. - Tianyu Liang; Riley Murray; Aydin Buluç; James Demmel (CoRR, 2023)

Nearly Optimal Block-Jacobi Preconditioning. - James Demmel (SIAM J. Matrix Anal. Appl., 2023)

An Improved Analysis and Unified Perspective on Deterministic and Randomized Low-Rank Matrix Approximation. - James Demmel; Laura Grigori; Alexander Rusciano (SIAM J. Matrix Anal. Appl., 2023)

Fast multiplication of random dense matrices with sparse matrices. - Tianyu Liang; Riley Murray; Aydin Buluç; James Demmel (IPDPS, 2024)

Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition. - Vivek Bharadwaj; Osman Asif Malik; Riley Murray; Aydin Buluç; James Demmel (SPAA, 2024)

LPSim: Large Scale Multi-GPU Parallel Computing based Regional Scale Traffic Simulation Framework. - Xuan Jiang; Raja Sengupta 002; James Demmel; Samuel Williams 001 (CoRR, 2024)

WallFacer: Guiding Transformer Model Training Out of the Long-Context Dark Forest with N-body Problem. - Ziming Liu; Shaoyu Wang; Shenggan Cheng; Zhongkai Zhao; Xuanlei Zhao; James Demmel; Yang You 001 (CoRR, 2024)

Interface for Sparse Linear Algebra Operations. - Ahmad Abdelfattah; Willow Ahrens; Hartwig Anzt; Chris Armstrong; Ben Brock; Aydin Buluç; Federico Busato; Terry Cojean; Timothy A. Davis 001; Jim Demmel; Grace Dinh; David Gardener; et al. (CoRR, 2024)

Non-smooth Bayesian optimization in tuning scientific applications. - Hengrui Luo; Younghyun Cho; James Weldon Demmel; Igor Kozachenko; Xiaoye S. Li; Yang Liu 179 (Int. J. High Perform. Comput. Appl., 2024)

Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization. - Hengrui Luo; Younghyun Cho; James Weldon Demmel; Xiaoye S. Li; Yang Liu 179 (J. Comput. Graph. Stat., 2024)

On Multilinear Inequalities of Holder-Brascamp-Lieb Type for Torsion-Free Discrete Abelian Groups. - Michael Christ; James Demmel; Nicholas Knight; Thomas Scanlon; Katherine A. Yelick (J. Log. Anal., 2024)

Scalable Evidential K-Nearest Neighbor Classification on Big Data. - Chaoyu Gong; Jim Demmel; Yang You 001 (IEEE Trans. Big Data, 2024)

Distributed and Joint Evidential K-Nearest Neighbor Classification. - Chaoyu Gong; Jim Demmel; Yang You 001 (IEEE Trans. Knowl. Data Eng., 2024)

Excvate: Spoofing Exceptions and Solving Constraints to Test Exception Handling in Numerical Libraries. - Jackson Vanover; James Demmel; Xiaoye Sherry Li; Cindy Rubio-González (ARITH, 2025)

SuperNoVA: Algorithm-Hardware Co-Design for Resource-Aware SLAM. - Seah Kim; Roger Hsiao; Borivoje Nikolic; James Demmel; Yakun Sophia Shao (ASPLOS (1), 2025)

Surrogate-Based Autotuning for Randomized Sketching Algorithms in Regression Problems. - Younghyun Cho; James Demmel; Michal Derezinski; Haoyun Li; Hengrui Luo; Michael W. Mahoney; Riley Murray (SIAM J. Matrix Anal. Appl., 2025)

CholeskyQR with Randomization and Pivoting for Tall Matrices (CQRRPT). - Maksim Melnichenko; Oleg Balabanov; Riley Murray; James Demmel; Michael W. Mahoney; Piotr Luszczek (SIAM J. Matrix Anal. Appl., 2025)

An Efficient Sparse Kernel Generator for O(3)-Equivariant Deep Networks. - Vivek Bharadwaj; Austin Glover; Aydin Buluç; James Demmel (CoRR, 2025)

Parallelizing the Approximate Minimum Degree Ordering Algorithm: Strategies and Evaluation. - Yen-Hsiang Chang; Aydin Buluç; James Demmel (CoRR, 2025)

Parallel GPU-Accelerated Randomized Construction of Approximate Cholesky Preconditioners. - Tianyu Liang; Chao Chen; Yotam Yaniv; Hengrui Luo; David Tench; Xiaoye S. Li; Aydin Buluç; James Demmel (CoRR, 2025)

Structured Divide-and-Conquer for the Definite Generalized Eigenvalue Problem. - James Demmel; Ioana Dumitriu; Ryan Schneider (CoRR, 2025)

Minimizing the Arithmetic and Communication Complexity of Jacobi's Method for Eigenvalues and Singular Values. - James Demmel; Hengrui Luo; Ryan Schneider; Yifu Wang (CoRR, 2025)

Anatomy of High-Performance Column-Pivoted QR Decomposition. - Maksim Melnichenko; Riley Murray; William Killian; James Demmel; Michael W. Mahoney; Piotr Luszczek; Mark Gates (CoRR, 2025)