| commit | e8c0a28c95b9a22f2a023715a3717c36528bd3ab | [log] [tgz] |
|---|---|---|
| author | Matthias Boehm <mboehm7@gmail.com> | Thu Jun 11 14:08:13 2020 +0200 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Thu Jun 11 14:08:13 2020 +0200 |
| tree | 8c787b577bdbf3e755b3ff5f1f28e87d842c3fdd | |
| parent | 205c67aaf1778cb62f91de415ab677ad8be7f2dd [diff] |
[SYSTEMDS-412] Fix robustness lineage DAGs, parfor integration This patch makes further robustness improvements to the handling of large lineage DAGs via non-recursive primitives. In this context, explain needed special treatment to preserve the previous output in DFS order w/ post-append. Furthermore, this also fixes a number of issues of the parfor integration such as (1) invalid cached hashes after sub-DAG replacement, (2) introduced cycles during parfor lineage merge, (3) steplm script improvements (disabled parfor dependency analysis was hiding the issue that introduced the cycles), and (4) some debugging functionality to reliably detect cycles in lineage DAGs.
Overview: SystemDS is a versatile 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.
Quick Start Install, Quick Start and Hello World
Documentation: SystemDS Documentation
Python Documentation Python SystemDS Documentation
Status and Build: SystemDS is still in pre-alpha status. The original code base was forked from Apache SystemML 1.2 in September 2018. We will continue to support linear algebra programs over matrices, while replacing the underlying data model and compiler, as well as substantially extending the supported functionalities. Until the first release, you can build your own snapshot via Apache Maven: mvn clean package -P distribution.
