[ https://issues.apache.org/jira/browse/DLAB-1763?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Vira Vitanska updated DLAB-1763: -------------------------------- Summary: Running code for Spark Standalone does not use GPU (it is supposed to change kernel connection to Spark Standalone) (was: Running code for Data Engine (spark Standalone) does not use GPU) > Running code for Spark Standalone does not use GPU (it is supposed to change > kernel connection to Spark Standalone) > ------------------------------------------------------------------------------------------------------------------- > > Key: DLAB-1763 > URL: https://issues.apache.org/jira/browse/DLAB-1763 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main > Reporter: Vira Vitanska > Assignee: Leonid Frolov > Priority: Major > Labels: AWS, AZURE, Debian, DevOps, GCP, > Known_issues(release2.3), RedHat > Fix For: v.2.4 > > Attachments: AWS Spark cluster.png, GCP Spark cluster on Tensor.png, > GCP Spark cluster.png, GCP Spark cluster2.png > > > *Preconditions:* > 1. Data Engine is created with shape for GPU > *Steps to reproduce:* > 1. Run code that use GPU for Data Engine Service > *Actual result:* > 1. GPU is not used > *Expected result:* > 1. GPU is used > ---- > Code which use GPU > 1. [https://weeraman.com/put-that-gpu-to-good-use-with-python-e5a437168c01] > 2. [https://www.geeksforgeeks.org/running-python-script-on-gpu/] > ---- > (i) Spark cluster creation uses notebook image, so if notebook has been > created not on GPU the Spark cluster will be created not on GPU as well, even > if you use GPU size for creation. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org