| commit | 48de384bb3dca3e63f35b654e907e9ecaf5d747c | [log] [tgz] |
|---|---|---|
| author | Sebastian Baunsgaard <baunsgaard@apache.org> | Tue Apr 09 20:16:50 2024 +0200 |
| committer | Sebastian Baunsgaard <baunsgaard@apache.org> | Tue Apr 09 21:42:55 2024 +0200 |
| tree | d81302c3f3fef5dccc890f7de2a5d502d2d1b329 | |
| parent | 34492851f5c85ba2325ec40672f5b647e681eb02 [diff] |
[MINOR] Update cocode algorithms for CLA This commit adds a new memorizer that rely on an array in the size of number of columns to compress, instead of a hashmap with all. The memory footprint is the same, but the performance is very much improved because it allows constant time deletion of all memorized column groups that contains a combination with the given specific columns. The technique first allocate an array in size number of columns each index get its own hashmap. containing the columngroup associated with it. then when combining columnsgroups, the lowest index of all columns combined determine which array index hash map to add the combined index into. Once a combination is chosen, the buckets of the lowest index of each column group combined is reset, and the combined columngroup is inserted. The result is constant time O(1) deletion and insertion in the memorizer
Overview: SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To this end, we aim to provide a stack of declarative languages with R-like syntax for (1) the different tasks of the data-science lifecycle, and (2) users with different expertise. These high-level scripts are compiled into hybrid execution plans of local, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existing systems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle, the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have a heterogeneous and nested schema.
| Resource | Links |
|---|---|
| Quick Start | Install, Quick Start and Hello World |
| Documentation: | SystemDS Documentation |
| Python Documentation | Python SystemDS Documentation |
| Issue Tracker | Jira Dashboard |
Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source
