MUSCLE-HPC Sample Clauses

MUSCLE-HPC. Multiscale, multi-physics applications are central to solve the scientific challenges in CompBioMed. Computationally speaking, the difficulty is to combine high performance computing with the need to couple various codes or solvers, each representing a different scale or a different physical process. MUSCLE-HPC is a new HPC implementation of MUSCLE-2, a previously developed Multiscale Coupling Library and Environment. Using MUSCLE-HPC to couple sub-models within the same HPC cluster leads to better computing performance comparable to a native MPI execution and can, thus, reduce the coupling overhead. End-user solution type Please tick one or more Non-clinical research ✔ Clinical research ✔ Clinical decision support ✔ Drug discovery ✔ Design & optimisation ✔ In silico preclinical trials ✔ In silico clinical trialsPersonal health forecasting ✔ Provider: UNIGE Contact email: xxxxx.xxxx@xxxxx.xx Number of user organisations (list the top 5): Estimated users at PM0: 0 Estimated users at PM24: 0 Estimated users at PM36: General user base, open-source software freely available. Estimated 10 users based on publications quoting the software. Access mode: Source URL: xxxxx://xxxxxx.xxx/benbelga/muscleHPC HPC motivation: Solve unreducible model, Validate reduced-order model, Test model convergence, Larger space-time regions, Uncertainty quantification, Inform surrogate model, Multiscale models, Strongly coupled models.
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  • Research Project 3.1 These Materials and Data will be used by Recipient's PI solely in connection with the Research Project, as named and described in the attached research application (insert Research Project name below):

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  • Research Use The Requester agrees that if access is approved, (1) the PI named in the DAR and (2) those named in the “Senior/Key Person Profile” section of the DAR, including the Information Technology Director and any trainee, employee, or contractor1 working on the proposed research project under the direct oversight of these individuals, shall become Approved Users of the requested dataset(s). Research use will occur solely in connection with the approved research project described in the DAR, which includes a 1-2 paragraph description of the proposed research (i.e., a Research Use Statement). Investigators interested in using Cloud Computing for data storage and analysis must request permission to use Cloud Computing in the DAR and identify the Cloud Service Provider (CSP) or providers and/or Private Cloud System (PCS) that they propose to use. They must also submit a Cloud Computing Use Statement as part of the DAR that describes the type of service and how it will be used to carry out the proposed research as described in the Research Use Statement. If the Approved Users plan to collaborate with investigators outside the Requester, the investigators at each external site must submit an independent DAR using the same project title and Research Use Statement, and if using the cloud, Cloud Computing Use Statement. New uses of these data outside those described in the DAR will require submission of a new DAR; modifications to the research project will require submission of an amendment to this application (e.g., adding or deleting Requester Collaborators from the Requester, adding datasets to an approved project). Access to the requested dataset(s) is granted for a period of one (1) year, with the option to renew access or close-out a project at the end of that year. Submitting Investigator(s), or their collaborators, who provided the data or samples used to generate controlled-access datasets subject to the NIH GDS Policy and who have Institutional Review Board (IRB) approval and who meet any other study specific terms of access, are exempt from the limitation on the scope of the research use as defined in the DAR.

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