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Decaf: Decoupled Dataflows for In Situ Workflows
6 references·1 citing·16 second hop
Decaf: Decoupled Dataflows for In Situ Workflows (2022)Decaf: Decoupled Dataflows for In Situ Wo…Decaf: Decoupled Dataflows for In Situ High-Performance Workflows (2017)Decaf: Decoupled Dataflows fo…Bredala: Semantic Data Redistribution for In Situ Applications (2016)Bredala: Semantic Data Redist…Lessons Learned from Building In Situ Coupling Frameworks (2015)Lessons Learned from Building…A Flexible Framework for Asynchronous in Situ and in Transit Analytics for Scientific Simulations (2014)A Flexible Framework for Asyn…Combining in-situ and in-transit processing to enable extreme-scale scientific analysis (2012)Combining in-situ and in-tran…In-situ I/O processing (2011)In-situ I/O processingMelissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses (2023)Melissa: coordinating large-s…Kepler: An Extensible System for Design and Execution of Scientific Workflows (2004)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud (2013)Automatic Data Filtering for In Situ Workflows (2017)Accelerating Scientific Workflows on HPC Platforms with In Situ Processing (2022)Scientific workflow management and the Kepler system (2005)PreDatA – preparatory data analytics on peta-scale machines (2010)Just in time (2011)Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows (2020)Optimal Execution of Co-analysis for Large-Scale Molecular Dynamics Simulations (2016)Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources (2020)DEISA: Dask-Enabled In Situ Analytics (2021)Heterogeneous Hierarchical Workflow Composition (2019)A lightweight method for evaluating in situ workflow efficiency (2020)In situ and in-transit analysis of cosmological simulations (2016)The future of scientific workflows (2017)
this work references cited by second hop

References

  • 2012Combining in-situ and in-transit processing to enable extreme-scale scientific analysis187 cited
  • 2014A Flexible Framework for Asynchronous in Situ and in Transit Analytics for Scientific Simulations55 cited
  • 2017Decaf: Decoupled Dataflows for In Situ High-Performance Workflows36 cited
  • 2015Lessons Learned from Building In Situ Coupling Frameworks25 cited
  • 2016Bredala: Semantic Data Redistribution for In Situ Applications20 cited
  • 2011In-situ I/O processing15 cited

Cited by

  • 2023Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses6 cited

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