PyCOMPSs Randomized SVD
Download RO CrateName: TruncatedSVD (Randomized SVD)
Contact Person: support-compss@bsc.es
Access Level: public
License Agreement: Apache2
Platform: COMPSs
Machine: MareNostrum4
TruncatedSVD (Randomized SVD) for computing just 456 singular values out of a (3.6M x 1200) size matrix.
The input matrix represents a CFD transient simulation of aire moving past a cylinder.
This application used dislib-0.9.0
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Version History
Version 3 (latest) Created 3rd Nov 2023 at 08:54 by Cristian Tatu
updated ro-crate-info.yaml
Frozen
Version-3b57a29f
Version 2 Created 3rd Nov 2023 at 08:29 by Cristian Tatu
Updated ro-crate-metadatada.json
Frozen
Version-2
e3b7177
Version 1 (earliest) Created 3rd Nov 2023 at 08:26 by Cristian Tatu
Executed with COMPSs/3.3.pr and dislib/0.9.0
Frozen
Version-1
4799db4
Creators and SubmitterCreator
Additional credit
The Workflows and Distributed Computing Team (https://www.bsc.es/discover-bsc/organisation/scientific-structure/workflows-and-distributed-computing/)
Submitter
Views: 826
Created: 3rd Nov 2023 at 08:26
Last updated: 4th Dec 2023 at 14:49
AttributionsNone
Related items
https://orcid.org/0009-0003-8848-9436
eFlows4HPC project aims at providing workflow software stack and an additional set of services to enable the integration of HPC simulations and modelling with big data analytics and machine learning in scientific and industrial applications. The project is also developing the HPC Workflows as a Service (HPCWaaS) methodology that aims at providing tools to simplify the development, deployment, execution and reuse of workflows. The project demonstrates its advances through three application Pillars ...
Teams: Cluster Emergent del Cervell Humà , Workflows and Distributed Computing, Pillar I: Manufacturing, Pillar II: Climate, Pillar III: Urgent computing for natural hazards, eFlows4HPC general, COMPSs Tutorials
Web page: https://eflows4hpc.eu
Distributed computing aims to offer tools and mechanisms that enable the sharing, selection, and aggregation of a wide variety of geographically distributed computational resources in a transparent way. The research done in this team is based on the past expertise of the group, and on extending it towards the aspects of distributed computing that can benefit from this expertise. The team at BSC has a strong focus on programming models and resource management and scheduling in distributed computing ...
