| commit | 68c2c17db56c8c9ea5b1985bbf3b525d4ac8d022 | [log] [tgz] |
|---|---|---|
| author | baunsgaard <baunsgaard@tu-berlin.de> | Mon Aug 07 13:40:42 2023 +0200 |
| committer | baunsgaard <baunsgaard@tu-berlin.de> | Tue Aug 08 14:50:36 2023 +0200 |
| tree | af637eef66f78abe3f8f973dcf0f18f39a42322d | |
| parent | eb1a69718c9009eae2a6c292407bb8362ecbeaec [diff] |
[SYSTEMDS-3572] CommonThreadPool Reuse ThreadLocal Pools This commit allows reuse of custom size thread pools, but only for the main thread. Only allowing the main thread to reuse a pool avoids problems with parfor spawning threads that use the same shared pool. I tried using ThreadLocal to solve this problem initially, but this did not work with our testing framework while it did work in practice. This implementation is a compromise to work with the test framework, while not introducing to much code. Closes #1873
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
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
