| 2025 | ARITH | Excvate: Spoofing Exceptions and Solving Constraints to Test Exception Handling in Numerical Libraries. | Jackson Vanover, James Demmel, Xiaoye Sherry Li, Cindy Rubio-Gonzlez |
| 2025 | ASPLOS | SuperNoVA: Algorithm-Hardware Co-Design for Resource-Aware SLAM. | Seah Kim, Roger Hsiao, Borivoje Nikolic, James Demmel, Yakun Sophia Shao |
| 2024 | SPAA | Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition. | Vivek Bharadwaj, Osman Asif Malik, Riley Murray, Aydin Bulu, James Demmel |
| 2021 | ISCA | CoSA: Scheduling by Constrained Optimization for Spatial Accelerators. | Qijing Huang, Aravind Kalaiah, Minwoo Kang, James Demmel, Grace Dinh, John Wawrzynek, Thomas Norell, Yakun Sophia Shao |
| 2021 | PPoPP | Dynamic scaling for low-precision learning. | Ruobing Han, Min Si, James Demmel, Yang You |
| 2020 | HiPC | Avoiding Communication in Logistic Regression. | Aditya Devarakonda, James Demmel |
| 2020 | ICLR | Large Batch Optimization for Deep Learning: Training BERT in 76 minutes. | Yang You, Jing Li, Sashank J. Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, Cho-Jui Hsieh |
| 2020 | SPAA | Communication-Optimal Tilings for Projective Nested Loops with Arbitrary Bounds. | Grace Dinh, James Demmel |
| 2019 | ICDM | Fast LSTM Inference by Dynamic Decomposition on Cloud Systems. | Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel |
| 2019 | SC | Large-batch training for LSTM and beyond. | Yang You, Jonathan Hseu, Chris Ying, James Demmel, Kurt Keutzer, Cho-Jui Hsieh |
| 2018 | ARITH | Augmented Arithmetic Operations Proposed for IEEE-754 2018. | E. Jason Riedy, James Demmel |
| 2018 | ICPP | Reducing Communication in Proximal Newton Methods for Sparse Least Squares Problems. | Saeed Soori, Aditya Devarakonda, Zachary Blanco, James Demmel, Mert Grbzbalaban, Maryam Mehri Dehnavi |
| 2018 | ICPP | ImageNet Training in Minutes. | Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel, Kurt Keutzer |
| 2018 | ICS | Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. | Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc |
| 2018 | SPAA | A 3D Parallel Algorithm for QR Decomposition. | Grey Ballard, James Demmel, Laura Grigori, Mathias Jacquelin, Nicholas Knight |
| 2017 | ICPP | Runtime Data Layout Scheduling for Machine Learning Dataset. | Yang You, James Demmel |
| 2017 | SC | Scaling deep learning on GPU and knights landing clusters. | Yang You, Aydin Bulu, James Demmel |
| 2017 | SPAA | A Communication-Avoiding Parallel Algorithm for the Symmetric Eigenvalue Problem. | Edgar Solomonik, Grey Ballard, James Demmel, Torsten Hoefler |
| 2016 | ICSE | Floating-point precision tuning using blame analysis. | Cindy Rubio-Gonzlez, Cuong Nguyen, Benjamin Mehne, Koushik Sen, James Demmel, William Kahan, Costin Iancu, Wim Lavrijsen, David H. Bailey, David Hough |
| 2016 | SC | Network Topologies and Inevitable Contention. | Grey Ballard, James Demmel, Andrew Gearhart, Benjamin Lipshitz, Yishai Oltchik, Oded Schwartz, Sivan Toledo |
| 2015 | ARITH | Reproducible Tall-Skinny QR. | Hong Diep Nguyen, James Demmel |
| 2014 | SPAA | Tradeoffs between synchronization, communication, and computation in parallel linear algebra computations. | Edgar Solomonik, Erin Carson, Nicholas Knight, James Demmel |
| 2013 | ARITH | Fast Reproducible Floating-Point Summation. | James Demmel, Hong Diep Nguyen |
| 2013 | ARITH | Numerical Reproducibility and Accuracy at ExaScale. | James Demmel, Hong Diep Nguyen |
| 2013 | PPAM | Exploiting Data Sparsity in Parallel Matrix Powers Computations. | Nicholas Knight, Erin Claire Carson, James Demmel |
| 2013 | SC | Precimonious: tuning assistant for floating-point precision. | Cindy Rubio-Gonzlez, Cuong Nguyen, Hong Diep Nguyen, James Demmel, William Kahan, Koushik Sen, David H. Bailey, Costin Iancu, David Hough |
| 2013 | SPAA | Communication optimal parallel multiplication of sparse random matrices. | Grey Ballard, Aydin Bulu, James Demmel, Laura Grigori, Benjamin Lipshitz, Oded Schwartz, Sivan Toledo |
| 2013 | SPAA | Communication efficient gaussian elimination with partial pivoting using a shape morphing data layout. | Grey Ballard, James Demmel, Benjamin Lipshitz, Oded Schwartz, Sivan Toledo |
| 2012 | PPoPP | Communication avoiding successive band reduction. | Grey Ballard, James Demmel, Nicholas Knight |
| 2012 | SC | Poster: Beating MKL and ScaLAPACK at Rectangular Matrix Multiplication Using the BFS/DFS Approach. | James Demmel, David Eliahu, Armando Fox, Shoaib Kamil, Benjamin Lipshitz, Oded Schwartz, Omer Spillinger |
| 2012 | SC | Communication-avoiding parallel strassen: implementation and performance. | Benjamin Lipshitz, Grey Ballard, James Demmel, Oded Schwartz |
| 2012 | SPAA | Brief announcement: strong scaling of matrix multiplication algorithms and memory-independent communication lower bounds. | Grey Ballard, James Demmel, Olga Holtz, Benjamin Lipshitz, Oded Schwartz |
| 2012 | SPAA | Communication-optimal parallel algorithm for strassen's matrix multiplication. | Grey Ballard, James Demmel, Olga Holtz, Benjamin Lipshitz, Oded Schwartz |
| 2011 | ALENEX | Avoiding Communication in Numerical Linear Algebra. | James Demmel |
| 2011 | EuroPar | Communication-Optimal Parallel 2.5D Matrix Multiplication and LU Factorization Algorithms. | Edgar Solomonik, James Demmel |
| 2011 | IJCNN | On improving trust-region variable projection algorithms for separable nonlinear least squares learning. | Eiji Mizutani, James Demmel |
| 2011 | SC | Improving communication performance in dense linear algebra via topology aware collectives. | Edgar Solomonik, Abhinav Bhatele, James Demmel |
| 2011 | SPAA | Brief announcement: communication bounds for heterogeneous architectures. | Grey Ballard, James Demmel, Andrew Gearhart |
| 2011 | SPAA | Graph expansion and communication costs of fast matrix multiplication: regular submission. | Grey Ballard, James Demmel, Olga Holtz, Oded Schwartz |
| 2010 | SPAA | Brief announcement: Lower bounds on communication for sparse Cholesky factorization of a model problem. | Laura Grigori, Pierre-Yves David, James Demmel, Sylvain Peyronnet |
| 2009 | SC | Minimizing communication in sparse matrix solvers. | Marghoob Mohiyuddin, Mark Hoemmen, James Demmel, Katherine A. Yelick |
| 2009 | SPAA | Communication-optimal parallel and sequential Cholesky decomposition: extended abstract. | Grey Ballard, James Demmel, Olga Holtz, Oded Schwartz |
| 2008 | SC | Communication avoiding Gaussian elimination. | Laura Grigori, James Demmel, Hua Xiang |
| 2008 | SC | Benchmarking GPUs to tune dense linear algebra. | Vasily Volkov, James Demmel |
| 2007 | SC | Optimization of sparse matrix-vector multiplication on emerging multicore platforms. | Samuel Williams, Leonid Oliker, Richard W. Vuduc, John Shalf, Katherine A. Yelick, James Demmel |
| 2006 | SENSYS | Wireless sensor networks for structural health monitoring. | Sukun Kim, Shamim Pakzad, David E. Culler, James Demmel, Gregory Fenves, Steven D. Glaser, Martin Turon |
| 2005 | ICCS | Bifurcation Analysis of Large Equilibrium Systems in Matlab. | David Bindel, James Demmel, Mark J. Friedman, Willy Govaerts, Yuri A. Kuznetsov |
| 2004 | ICPP | Performance Models for Evaluation and Automatic Tuning of Symmetric Sparse Matrix-Vector Multiply. | Benjamin C. Lee, Richard W. Vuduc, James Demmel, Katherine A. Yelick |
| 2003 | ICCS | Memory Hierarchy Optimizations and Performance ounds for Sparse A. | Rich Vuduc, Attila Gyulassy, James Demmel, Katherine A. Yelick |
| 2002 | SC | Performance optimizations and bounds for sparse matrix-vector multiply. | Rich Vuduc, James Demmel, Katherine A. Yelick, Shoaib Kamil, Rajesh Nishtala, Benjamin C. Lee |
| 2001 | ICCS | A Data Broker for Distributed Computing Environments. | Leroy Anthony Drummond, James Demmel, Carlos R. Mechoso, Howard Robinson, Keith Sklower, Joseph A. Spahr |
| 2001 | ICCS | Statistical Models for Automatic Performance Tuning. | Rich Vuduc, James Demmel, Jeff A. Bilmes |
| 1999 | SPAA | Making Sparse Matrix Computations Scalable (Invited Talk Abstract). | James Demmel |
| 1998 | SC | Making Sparse Gaussian Elimination Scalable by Static Pivoting. | Xiaoye S. Li, James Demmel |
| 1997 | ICASSP | Using PHiPAC to speed error back-propagation learning. | Jeff A. Bilmes, Krste Asanovic, Chee-Whye Chin, James Demmel |
| 1997 | ICS | Optimizing Matrix Multiply Using PHiPAC: A Portable, High-Performance, ANSI C Coding Methodology. | Jeff A. Bilmes, Krste Asanovic, Chee-Whye Chin, James Demmel |
| 1996 | SC | 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 |
| 1995 | SC | Performance of a Parallel Global Atmospheric Chemical Tracer Model. | James Demmel, Sharon Smith |
| 1995 | SPAA | Modeling the Benefits of Mixed Data and Task Parallelism. | Soumen Chakrabarti, James Demmel, Katherine A. Yelick |
| 1993 | ARITH | Faster numerical algorithms via exception handling. | James Demmel, Xiaoye S. Li |
| 1990 | SC | 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 |
| 1989 | ICRA | Optimal three finger grasps. | James Demmel, Gerardo Lafferriere |
| 1988 | ICRA | Theoretical and experimental studies using a multifinger planar manipulator. | James Demmel, Gerardo Lafferriere, Jacob T. Schwartz, Micha Sharir |
| 1987 | ARITH | On error analysis in arithmetic with varying relative precision. | James Demmel |