| commit | 1101533fd1b2be4e475a18052dbb4bc930bb05d9 | [log] [tgz] |
|---|---|---|
| author | arnabp <arnab.phani@tugraz.at> | Wed Jul 29 12:06:56 2020 +0200 |
| committer | arnabp <arnab.phani@tugraz.at> | Sat Aug 08 20:57:46 2020 +0200 |
| tree | 7f7a1934a45b1bca34ed8bc704dd8b6c78df0c3e | |
| parent | a4f992ed86d92cff95b160dab0c852b5434bed25 [diff] |
[SYSTEMDS-2603] New hybrid approach for lineage deduplication This patch makes a major refactoring of the lineage deduplication framework. This changes the design of tracing all the distinct paths in a loop-body before the first iteration, to trace during execution. The number of distinct paths grows exponentially with the number of control flow statements. Tracing all the paths in advance can be a huge waste and overhead. We now trace an iteration during execution. We count the number of distinct paths before the iterations start, and we stop tracing once all the paths are traced. Tracing during execution fits very well with our multi-level reuse infrastructure. Refer to JIRA for detailed discussions.
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
Issue Tracker Jira Dashboard
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.
