| commit | 822b4922b938ece3a23204823f818545d471bae4 | [log] [tgz] |
|---|---|---|
| author | arnabp <arnab.phani@tugraz.at> | Tue May 26 21:01:28 2020 +0200 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Tue May 26 21:01:28 2020 +0200 |
| tree | 698e8559e5ab8cf764ea752dee2be0c42d051a82 | |
| parent | 75648fe8a3817a4971480b09cce3ae0d694c7d06 [diff] |
[SYSTEMDS-335] Updated weighted eviction scheme for lineage cache
This patch updates the weighted scheme by adding a elaborate scoring
function. The function has two components, a ratio of compute time,
in-memory size, and a last used timestamp. The components are associated
with weights, which can tune the eviction policies (e.g. weights 0 and 1
for time/size and timestamp respectively translate to LRU scheme). This
patch also replaces the earlier PriorityQueye by a TreeSet.
New eviction test, refactor LineageCacheConfig, eviction logic tuning.
This commit contains,
1) Few updates in eviction logic. Thanks Matthias for catching an
unneeded enqueue/dequeue.
2) Refactoring of LineageCacheConfig class.
3) A new test to compare the order of evicted items based on the
specified policies.
Closes #915.
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.
