| commit | 57315fb542af690fdf718686be2a6fd9296a4842 | [log] [tgz] |
|---|---|---|
| author | Matthias Boehm <mboehm7@gmail.com> | Sun Sep 13 18:40:10 2020 +0200 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Sun Sep 13 18:40:10 2020 +0200 |
| tree | de0fa716b85756904d7244503499eda439e4f386 | |
| parent | 2e6883a6e7588b31054c25c61177fed3b8ebf0de [diff] |
[SYSTEMDS-2641] Extended IPA rewrite handling (rebuild fgraph on demand) This patch improves the inter-procedural analysis, which repeatedly propagates scalars and sizes, and applies various IPA rewrite passes. One of these rewrite passes is a second function inlining mechanism, which inlines functions that are called once or small functions with less than t=10 operators. However, this condition was based on a functional call graph which was never rebuilt. In slicefinder, after scalar propagation one of two calls to evalSlice gets removed (via remove unnecessary branches) but inlining did not take place due to mistakenly assumed two calls to this function. We now propagate the information of removed branches to IPA and rebuild the functional call graph if necessary.
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.
