| commit | c93f9f9a4e5172edb51be86cf9c3e98c035a9672 | [log] [tgz] |
|---|---|---|
| author | Arnab Phani <phaniarnab@gmail.com> | Wed Jan 25 22:58:55 2023 +0100 |
| committer | Arnab Phani <phaniarnab@gmail.com> | Wed Feb 01 16:21:14 2023 +0100 |
| tree | 718ca1e41e50aadd11c64c85dedf88dd595ebac2 | |
| parent | 2ab0eb8fcf5f5928d904e13518f0b99bbf7dc26c [diff] |
[SYSTEMDS-3492] Lineage-based reuse of all RDDs This patch enables reuse of RDDs of redundant Spark operations. We also persist a subset of operations in the executors, where the rest are just cached locally. Reuse of even unpersisted RDDs allows Spark to apply optimizations and skip stages. In addition, this patch removes the compile-time flag to indicate reuse and instead reuse all RDDs. Local RDD caching is now disabled due to bugs. LinCache Spark (Col/Loc/Dist): 16/2/2. => indicates the number of reused collects/prefetches (=16), local RDDs (=2) and persisted RDDs(=2). Closes #1777
Overview: SystemDS is an open source ML 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
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Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source
