| commit | 67d876a0ca19c808a51d8e8db8b407aeced23250 | [log] [tgz] |
|---|---|---|
| author | baunsgaard <baunsgaard@tugraz.at> | Thu Jan 14 14:55:32 2021 +0100 |
| committer | baunsgaard <baunsgaard@tugraz.at> | Thu Jan 14 20:43:36 2021 +0100 |
| tree | 8f50e6cc404224179c1fffc81e2957f64e4654b1 | |
| parent | 44f29960b2e2c36e9e529817b3226ec9972c0766 [diff] |
[SYSTEMDS-2794] Custom dense reader for compression This commit change the readers for the dense matrix blocks to circumvent the usual, quickgetvalue() method. This significantly increase the reading but required adding a single block and multiBlock reader. Another optimization lead from this optimized reader is that transpose now only reduce execution time of the compression when the input matrix is dense. Therefore the heuristic of the compression is set to reflect. Finally all readers are now hidden inside its own subfolder and have a clean one point entry for construction, that automatically select the optimal reader. Closes #1156
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
