yuhao yang created SPARK-11898:
----------------------------------
Summary: Use broadcast for the global tables in Word2Vec
Key: SPARK-11898
URL: https://issues.apache.org/jira/browse/SPARK-11898
Project: Spark
Issue Type: Improvement
Components: MLlib
Affects Versions: 1.5.2
Reporter: yuhao yang
syn0Global and sync1Global in word2vec are quite large objects with size (vocab
* vectorSize * 8), yet they are passed to worker using basic task serialization.
Use broadcast can greatly improve the performance. My benchmark shows that, for
1M vocabulary and default vectorSize 100, changing to broadcast can help,
1. decrease the worker memory consumption by 45%.
2. decrease running time by 40%.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
