James W DEMMEL
University of California, Berkeley
H-index: 94
North America-United States
Top articles of James W DEMMEL
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition | Advances in Neural Information Processing Systems | Vivek Bharadwaj Osman Asif Malik Riley Murray Laura Grigori Aydin Buluc | 2024/2/13 |
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization | Journal of Computational and Graphical Statistics | Hengrui Luo Younghyun Cho James W Demmel Xiaoye S Li Yang Liu | 2024/1/20 |
CholeskyQR with Randomization and Pivoting for Tall Matrices (CQRRPT) | arXiv preprint arXiv:2311.08316 | Maksim Melnichenko Oleg Balabanov Riley Murray James Demmel Michael W Mahoney | 2023/11/14 |
Sample-Efficient Mapspace Optimization for DNN Accelerators with Bayesian Learning | Grace Dinh Iniyaal Kannan Jegadesan Valsala Hengrui Luo Charles Hong Younghyun Cho | 2023/6/15 | |
Fast multiplication of random dense matrices with fixed sparse matrices | arXiv preprint arXiv:2310.15419 | Tianyu Liang Riley Murray Aydın Buluç James Demmel | 2023/10/24 |
Generalized Pseudospectral Shattering and Inverse-Free Matrix Pencil Diagonalization | arXiv preprint arXiv:2306.03700 | James Demmel Ioana Dumitriu Ryan Schneider | 2023/6/6 |
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems | arXiv preprint arXiv:2308.15720 | Younghyun Cho James W Demmel Michał Dereziński Haoyun Li Hengrui Luo | 2023/8/30 |
Harnessing the crowd for autotuning high-performance computing applications | Younghyun Cho James W Demmel Jacob King Xiaoye S Li Yang Liu | 2023/5/15 | |
An Improved Analysis and Unified Perspective on Deterministic and Randomized Low-Rank Matrix Approximation | SIAM Journal on Matrix Analysis and Applications | James Demmel Laura Grigori Alexander Rusciano | 2023/6/30 |
Nearly optimal block-Jacobi preconditioning | SIAM Journal on Matrix Analysis and Applications | James Demmel | 2023/3/31 |
Computron: Serving Distributed Deep Learning Models with Model Parallel Swapping | arXiv preprint arXiv:2306.13835 | Daniel Zou Xinchen Jin Xueyang Yu Hao Zhang James Demmel | 2023/6/24 |
Randomized numerical linear algebra: A perspective on the field with an eye to software | arXiv preprint arXiv:2302.11474 | Riley Murray James Demmel Michael W Mahoney N Benjamin Erichson Maksim Melnichenko | 2023/2/22 |
Distributed-memory sparse kernels for machine learning | Vivek Bharadwaj Aydın Buluç James Demmel | 2022/5/30 | |
Proposed consistent exception handling for the BLAS and LAPACK | James Demmel Jack Dongarra Mark Gates Greg Henry Julien Langou | 2022/11/13 | |
المرجع الألكتروني للمعلوماتية | Pythagoras | DH Bailey JM Borwein NJ Calkin R Girgensohn DR Luke | 2020/4/7 |
Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition | arXiv preprint arXiv:2210.05105 | Vivek Bharadwaj Osman Asif Malik Riley Murray Aydin Buluç James Demmel | 2022/10/11 |
High Efficiency Computation of Game Tree Exploration in Connect 4 | Justin Yokota Dan Garcia James Demmel | 2022/8/19 | |
Communication bounds for convolutional neural networks | Anthony Chen James Demmel Grace Dinh Mason Haberle Olga Holtz | 2022/6/27 | |
Hybrid models for mixed variables in bayesian optimization | arXiv preprint arXiv:2206.01409 | Hengrui Luo Younghyun Cho James W Demmel Xiaoye S Li Yang Liu | 2022/6/3 |
Tent Map | R Barrett M Berry TF Chan J Demmel J Donato | 2021/8/18 |
