| commit | 1abe9cb79d8001992f1c79ba5e638e6b423a1382 | [log] [tgz] |
|---|---|---|
| author | Matthias Boehm <mboehm7@gmail.com> | Thu Jul 02 22:18:47 2020 +0200 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Thu Jul 02 22:47:51 2020 +0200 |
| tree | 59487bb19526b1be3bd2d7087db07010ac774cf0 | |
| parent | 0e369bd760528bec89be8a520a07345d108008df [diff] |
[SYSTEMDS-418] Performance improvements lineage reuse probing/spilling This patch makes some minor performance improvements to the lineage reuse probing and cache put operations. Specifically, we now avoid unnecessary lineage hashing and comparisons by using lists instead of hash maps, move the time computations into the reuse path (to not affect the code path without lineage reuse), avoid unnecessary branching, and materialize the score of cache entries to avoid repeated computation for the log N comparisons per add/remove/constaints operation. For 100K iterations and ~40 ops per iteration, lineage tracing w/ reuse improved from 41.9s to 38.8s (pure lineage tracing: 27.9s).
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
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.
