COMPSs GPU K-Means
Version 1

Workflow Type: COMPSs
Stable

Name: K-Means GPU Cache OFF
Contact Person: cristian.tatu@bsc.es
Access Level: public
License Agreement: Apache2
Platform: COMPSs
Machine: Minotauro-MN4

K-Means running on GPUs.
Launched using 32 GPUs (16 nodes). Parameters used: K=40 and 32 blocks of size (1_000_000, 1200).
It creates a block for each GPU. Total dataset shape is (32_000_000, 1200).
Version dislib-0.9

Average task execution time: 194 seconds

Click and drag the diagram to pan, double click or use the controls to zoom.

Version History

Final Version (earliest) Created 22nd Mar 2024 at 18:58 by Cristian Tatu

Final paper version


Frozen Final-Version 287f5c6
help Creators and Submitter
Creator
Additional credit

The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)

Submitter
Citation
Tatu, C. (2024). COMPSs GPU K-Means. WorkflowHub. https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.799.1
Activity

Views: 253

Created: 22nd Mar 2024 at 18:58

Last updated: 25th Mar 2024 at 11:33

Annotated Properties
Topic annotations
help Attributions

None

Total size: 263 KB
Powered by
(v.1.14.1)
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH