PyCOMPSs Cheat Sheet advanced features v3.3.2 Version 1
Cheat sheet that serves as a quick guide to the many advanced features that PyCOMPSs offers. Updated for COMPSs release version 3.3.2.
SEEK ID: https://workflowhub.eu/documents/21?version=1
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COMPSs Cheat Sheet Advanced Features v3.3.2.pdf
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Workflows and Distributed computing group, Barcelona Supercomputing Center
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Views: 55 Downloads: 4
Created: 17th Feb 2025 at 08:32
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Version 1 (earliest) Created 17th Feb 2025 at 08:32 by Raül Sirvent
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Teams: Cluster Emergent del Cervell Humà, Workflows and Distributed Computing, WP6 - Tsunamis, WP7 - Earthquakes, WP8 - Anthropogenic geophysical extremes, WP5 - Volcanoes, Pillar I: Manufacturing, Pillar II: Climate, Pillar III: Urgent computing for natural hazards, eFlows4HPC general, COMPSs Tutorials
Organizations: Barcelona Supercomputing Center (BSC-CNS)
https://orcid.org/0000-0003-0606-2512
Established Researcher at Workflows and Distributed Computing Group, Computer Sciences department, Barcelona Supercomputing Center.
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 ...
