This $1,016,318 Project Grant was awarded by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports research and development conducted by Columbia University to design and build two open-source systems, named Marque and Zork, that enable more efficient in-database machine learning. Marque will be a database management system that supports embedding machine learning primitives like linear algebra operations within the query processing engine. This will allow components of the machine learning pipeline to be formulated as in-database operations, avoiding data export and import. Zork will be a scalable machine learning system that leverages the Marque infrastructure to process large datasets using factorized representations. The project aims to develop new query processing techniques that tightly integrate conventional relational operators with generalized linear algebra operators, enabling optimization across the entire workflow.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $1.0m | 6/27/23 |