COMPSs GPU Cache K-Means

Workflow Type: COMPSs

Name: K-Means GPU Cache ON
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Access Level: public
License Agreement: Apache2
Platform: COMPSs
Machine: Minotauro-MN4

K-Means running on the GPU leveraging COMPSs GPU Cache for deserialization speedup.
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: 16 seconds

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Version History

Final (earliest) Created 22nd Mar 2024 at 19:01 by Cristian Tatu

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The Workflows and Distributed Computing Team (

Tatu, C. (2024). COMPSs GPU Cache K-Means. WorkflowHub.

Views: 471   Downloads: 91

Created: 22nd Mar 2024 at 19:01

Last updated: 25th Mar 2024 at 11:33

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