commit | e2bd5bf4fe90a66f316898208c851f796117a90c | [log] [tgz] |
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author | Olga <ovcharenko.folga@gmail.com> | Tue Nov 10 16:05:30 2020 +0100 |
committer | baunsgaard <baunsgaard@tugraz.at> | Thu Nov 12 20:48:45 2020 +0100 |
tree | 2f9e8fff755b7201f2e22a0b785dcbf2b1598bda | |
parent | a89fceec652e700f1fc7ffd3149b18e5719b03ae [diff] |
[SYSTEMDS-2726] Federated right indexing
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 renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source