J. Demmel
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Computational Mathematics top 5%
Papers in
-
- Algorithms and Data Compression 3
- Neural Networks and Applications 2
- Stochastic Gradient Optimization Techniques 2
-
- Matrix Theory and Algorithms 4
- Numerical Methods and Algorithms 2
- Co-authors
- В. М. Волков (1 shared paper)Mark Frederick Hoemmen (1 shared paper)Katherine Yelick (1 shared paper)Marghoob Mohiyuddin (1 shared paper)Zai-Qiao Bai (1 shared paper)A. McKenney (1 shared paper)Jeffrey A. Bilmes (1 shared paper)CheeWhye Chin (1 shared paper)
- Journals
- SIAM Journal on Matrix Analysis and Applications (2 papers)University of Minnesota Digital Conservancy (University of Minnesota) (1 paper)University of North Texas Digital Library (University of North Texas) (1 paper)Proceedings - IEEE International Parallel and Distributed Processing Symposium (1 paper)NASA STI Repository (National Aeronautics and Space Administration) (1 paper)
- Partner nations
- United States
In The Last Decade
J. Demmel
13 papers receiving 493 citations
J. Demmel's Hit Papers
Peers
Comparison fields: 5 of 58
- Hardware and Architecture 314
- Computational Mathematics 19
- Computer Networks and Communications 262
- Computational Theory and Mathematics 135
- Numerical Analysis 23
Countries citing papers authored by J. Demmel
This map shows the geographic impact of J. Demmel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. Demmel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Demmel more than expected).
Fields of papers citing papers by J. Demmel
This network shows the impact of papers produced by J. Demmel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. Demmel. The network helps show where J. Demmel may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Demmel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Benchmarking GPUs to tune dense linear algebra Hit paper breakdown → | 2008 | 363 |
| 2 | 2008 | 86 | |
| 3 | On Floating Point Errors in Cholesky | 1989 | 30 |
| 4 | 2002 | 18 | |
| 5 | Teleoperation experiments with a Utah/MIT hand and a VPL DataGlove | 1989 | 7 |
| 6 | Computing small singular values of bidiagonal matrices with guaranteed high relative accuracy: LAPACK working note number 3 | 1988 | 6 |
| 7 | Open problems in numerical linear algebra | 1992 | 5 |
| 8 | LAPACK for distributed memory architectures: The next generation | 1993 | 2 |
| 9 | LAPACK Working Note 91: The Spectral Decomposition of Nonsymmetric Matrices on Distributed Memory Parallel Computers | 1995 | 2 |
| 10 | 2024 | 1 | |
| 11 | 2025 | 1 | |
| 12 | LAPACK Working Note 26: Prospectus for an Extension to LAPACK: A Portable Linear Algebra Library for High-Performance Computers | 1990 | 1 |
| 13 | LAPACK Working Note 86: The Performance of Finding Eigenvalues and Eigenvectors of Dense Symmetric Matrices on Distributed Memory Computers | 1994 | 1 |
| 14 | The bidiagonal singular value decomposition and Hamiltonian mechanics: LAPACK working note No. 11 | 1989 | 0 |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About J. Demmel
J. Demmel is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 523 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Matrix Theory and Algorithms (4 papers), Algorithms and Data Compression (3 papers), Numerical Methods and Algorithms (2 papers), Neural Networks and Applications (2 papers), Distributed and Parallel Computing Systems (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Scientific Research and Discoveries (1 paper). The work is most often cited by research in Hardware and Architecture (314 citations), Computational Mathematics (19 citations), Computer Networks and Communications (262 citations), Computational Theory and Mathematics (135 citations) and Numerical Analysis (23 citations). J. Demmel has collaborated with scholars based in United States. Frequent co-authors include В. М. Волков, Mark Frederick Hoemmen, Katherine Yelick, Marghoob Mohiyuddin, Zai-Qiao Bai, A. McKenney, Jeffrey A. Bilmes, CheeWhye Chin, Krste Asanović and W. Kahan. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, University of Minnesota Digital Conservancy (University of Minnesota), University of North Texas Digital Library (University of North Texas), Proceedings - IEEE International Parallel and Distributed Processing Symposium and NASA STI Repository (National Aeronautics and Space Administration).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.