Speaker
Description
Introduction
The digital twin concept is gaining traction in research, demanding substantial computational power for simulations. Sano Centre for Computational Medicine, in collaboration with ACC Cyfronet AGH, is actively developing tools to optimize high performance computing (HPC) resources. Our focus is on providing scientists with a user-friendly toolkit for seamless model execution. This paper introduces the integration of the Model Execution Environment platform with data repositories, streamlining data management for researchers.
Description of the problem
Harnessing HPC resources necessitates specific expertise and extensive data management, posing challenges for researchers. Additionally, sharing processed data and research results among teams demands adherence to fair involvement rules, involving external services and consuming valuable time. Our aim is to alleviate these challenges by providing a comprehensive platform for efficient data management.
Related work
While Pegasus and others operate on various infrastructures, Model Execution Environment (MEE) focuses on an established execution framework. Our unique approach prioritizes seamless data staging across diverse repositories, such as Dataverse and Zenodo, enhancing flexibility, streamlining execution and fostering effortless collaboration.
Solution of the problem
Our platform integrates with Dataverse and Zenodo APIs, enhancing efficiency and collaboration by eliminating intermediaries. Customizable repository rules ensure fair data sharing, safeguarding confidentiality.
Conclusions
Our research has resulted in a sophisticated toolkit for medical research efficiency. Future plans include broader integration, simplified data retrieval via Digital Object Identifiers, enhancing accessibility of our toolkit.
Acknowledgements. This publication is (partly) supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement ISW No 101016503, supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement Sano No 857533 and was created within the project of the Minister of Science and Higher Education "Support for the activity of Centers of Excellence established in Poland under Horizon 2020" on the basis of the contract number MEiN/2023/DIR/3796. We gratefully acknowledge Polish high-performance computing infrastructure PLGrid (HPC Centers: ACK Cyfronet AGH) for providing computer facilities and support within computational grant no. PLG/2023/016227.
| Topic | Needs and solutions in scientific computing: Platforms and gateway |
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