| commit | cde89c587943fe12ba2cb685db033aee6c52e6a3 | [log] [tgz] |
|---|---|---|
| author | Matthias Boehm <mboehm7@gmail.com> | Fri Mar 29 17:38:54 2024 +0100 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Fri Mar 29 17:38:54 2024 +0100 |
| tree | 49debed87bfb6c901880b33c2a71db9076453243 | |
| parent | 98fded23bbdce7274f2abbbed9f78d21f43ae9c5 [diff] |
[SYSTEMDS-3552] Fix initialize/merge of DCSR sparse blocks This patch fixes two bugs in the new DCSR sparse block representation: * The initialization from MCSR incorrectly indexed the compressed row-pointer arrays by row indexes, which only works if all rows have at least one non-zero. * The sparse block merge incorrectly added zeros into the column index, and value arrays because it took the size of temporarily created sparse rows (min capacity) instead of the actual length into account
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
