Material point methods (MPM) have emerged as one of the techniques with the potential of modeling the highly dynamic physical processes that occur during additive manufacturing (am) and providing…
Ended Cooperative Agreement Awarded Last action
- Award ID
- 70NANB24H307
- Recipient
-
University Of Utah UEI LL8GLEVH6MG3
- Awarding agency
-
National Institute of Standards and Technology
Department of Commerce
- Obligated
- $100,000
Award facts
- Assistance listing
- 11.609 Measurement and Engineering Research and Standards
- Completion date
- Originally
- Place of performance
- Salt Lake City, UT 84112, USA
Award details come from USAspending.gov.
Description
- Activities
- The team will leverage its experience with asynchronous dataflow and task graphs and with exascale computing to (a) analyze the existing MPM code and identify coding patterns that can be replaced by combinations of dataflow graphs and data pipelining. The team will then (b) recast these patterns as hedgehog dataflow graphs and an asynchronous communication layer that uses a small subset of the message passing interface (MPI) library for communications within a compute cluster. The team will also systematically (c) capture and document these transformations so they can be analyzed further later. The team will also leverage its experience with MPM to (d) refine models of the physical processes in am and (e) provide a higher-fidelity high-performance computing simulation of am.
- Expected outcomes
- The approaches and methods used in this project will demonstrate the benefits of using dataflow graphs as a fundamental building block in the development of HPC software. They will provide a template that can be used to refactor other HPC codes. The simulations developed in this project will push the state of the art in simulations for am. The results of this work will be published in the open scientific literature.
- Intended beneficiaries
- Developers of HPC software at NIST will have a successful model of using hedgehog dataflow graphs that they can follow. The simulations enabled by this project are of interest to the am community at NIST. Lastly, researchers in ITL will have a template that they can analyze to better understand how refactoring efforts can be automated.
- Subrecipient activities
- There are no planned subawards.
Transactions
| Action | Obligated | Date |
|---|---|---|
| Amendment | $0 | |
| Original award | $100,000 |
Quick answers
Who received award 70NANB24H307?
70NANB24H307 was awarded to University Of Utah by National Institute of Standards and Technology (Department of Commerce) on October 1, 2024.
How much is award 70NANB24H307 worth?
$100,000 has been obligated on 70NANB24H307.
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