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Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis
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Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis (2023)Developing Distributed High-performance C…Tapis: An API Platform for Reproducible, Distributed Computational Research (2021)Tapis: An API Platform for Re…International collaboration during the COVID-19 crisis: autumn 2020 developments (2021)International collaboration d…ExaWorks: Workflows for Exascale (2021)ExaWorks: Workflows for Exasc…How a torrent of COVID science changed research publishing — in seven charts (2020)How a torrent of COVID scienc…Cross-facility science with the Superfacility Project at LBNL (2020)Cross-facility science with t…From desktop to Large-Scale Model Exploration with Swift/T (2016)From desktop to Large-Scale M…Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)MASON: A Multiagent Simulation Environment (2005)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Scaling Deep Learning for Cancer with Advanced Workflow Storage Integration (2018)Merlin: Enabling Machine Learning-Ready HPC Ensembles (2019)What is (quantitative) system dynamics modeling? Defining characteristics and the opportunities they create (2024)Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)Linking scientific instruments and computation: Patterns, technologies, and experiences (2022)Frontiers in Scientific Workflows: Pervasive Integration With High-Performance Computing (2024)Real‐time XFEL data analysis at SLAC and NERSC: A trial run of nascent exascale experimental data analysis (2024)The Increasing Dominance of Teams in Production of Knowledge (2007)The Continuing Growth of Global Cooperation Networks in Research: A Conundrum for National Governments (2015)How the COVID pandemic is changing global science collaborations (2021)Pandemics are catalysts of scientific novelty: Evidence from COVID ‐19 (2021)Publication patterns’ changes due to the COVID-19 pandemic: a longitudinal and short-term scientometric analysis (2021)Retrieval strategy and possible explanations for the abnormal growth of research publications: re-evaluating a bibliometric analysis of climate change (2022)The iPlant Collaborative: Cyberinfrastructure for Plant Biology (2011)The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud (2013)Singularity: Scientific containers for mobility of compute (2017)Tapis API Development with Python: Best Practices In Scientific REST API Implementation (2020)Globus automation services: Research process automation across the space–time continuum (2023)CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research (2018)Generalizable coordination of large multiscale workflows (2021)Workflows Community Summit: Bringing the Scientific Workflows Community Together (2021)Challenges of Provenance in Scientific Workflow Management Systems (2022)Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward (2022)Survey Fatigue During the COVID-19 Pandemic: An Analysis of Neurosurgery Survey Response Rates (2021)Mental disorders following COVID-19 and other epidemics: a systematic review and meta-analysis (2022)ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health (2023)
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References

  • 2020How a torrent of COVID science changed research publishing — in seven charts387 cited
  • 2021International collaboration during the COVID-19 crisis: autumn 2020 developments109 cited
  • 2016From desktop to Large-Scale Model Exploration with Swift/T70 cited
  • 2021Tapis: An API Platform for Reproducible, Distributed Computational Research58 cited
  • 2020Cross-facility science with the Superfacility Project at LBNL48 cited
  • 2021ExaWorks: Workflows for Exascale21 cited

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