| commit | e0b15afc5205821e86b4c1165132b7c004bc7771 | [log] [tgz] |
|---|---|---|
| author | Matthias Boehm <mboehm7@gmail.com> | Fri Oct 09 21:36:37 2020 +0200 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Fri Oct 09 21:39:56 2020 +0200 |
| tree | 1756b614797ac5474cdf7fd00ceec85c7615bf1b | |
| parent | aab2e08f73171b8abef363b22107ab6c2f90aedf [diff] |
[MINOR] Multi-threaded parfor result file deletion (latency mitigation) After parfor operations a result-merge implementation merges the partial results from parfor workers into the final result variables. In case of remote parfor, we have #result variables x #parfor tasks files, which - in case of in-memory result merge - are into the driver, aggregated, and finally deleted. In sub-optimal cluster configurations, the delete can have substantial latency (independent of file size). To mitigate this latency we now delete these files in a multi-threaded manner, which showed good performance. Note that we refrain from asynchronous deletion to avoid synchronization in case of parfor loops in surrounding while/for loops (where the same files might be written multiple times).
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
