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| Name: | SVD_Software_Package |
| Description: | This project proposes to develop a software package that unifies randomized and iterative methods with a particular focus on the specific requirements of various ML applications and with high performance optimizations for modern computing platforms. This will allow scientists to analyze significantly larger datasets, ML researchers to study large models that could not be tackled before, and ML service providers to use the new solvers to reduce their operational cost. |
| Type: | Code Optimization and Modernization Tool |
| Keywords: | HPC, ML, Software Package: A high performance suite of SVD related solvers for machine learning |
| License: | N/A |
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| Funding Agency: | NSF |
| Award No: | 1835821 |
| Funded Project Title: | Elements: Software: NSCI: A high performance suite of SVD related solvers for machine learning |
| PI Name: | Andreas Stathopoulos |
| PI Email: | andreas@cs.wm.edu |
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| Last Update: | 2022-02-17 17:46:07.0 |
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