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Accelerating Multi-physics Simulations using GPUs (Apprentice Position)


Shodor > NCSI > XSEDE EMPOWER > XSEDE EMPOWER Positions > Accelerating Multi-physics Simulations using GPUs (Apprentice Position)

Status
Completed
Mentor NameAnjali Sandip
Mentor's XSEDE AffiliationMentor
Mentor Has Been in XSEDE Community1-2 years
Project TitleAccelerating Multi-physics Simulations using GPUs (Apprentice Position)
SummaryThe objective of this project is to leverage GPU processing power to accelerate multi-physics simulations of complex real-world systems. Performance metrics would be predictive capability and time to solution.
Job DescriptionWeek 1: Introduction to project, setup access to GPU nodes
Weeks 2 - 5: GPU computing overview/training
Weeks 5 - 10: Develop and apply CUDA code to accelerate multi-physics simulations of complex real-world systems
Computational ResourcesPSC Bridges GPU nodes
Contribution to CommunityThe CUDA code developed in this study would be licensed under the GPLv3 free software licence. And will be made available on Github.
Position TypeIntern
Training PlanWeek 1: Introduction to project, setup access to GPU nodes
Weeks 2 - 5: GPU computing overview/training
Student Prerequisites/Conditions/QualificationsRequired: 1. Engineering or Computer Science Major 2. C/C++ Preferred: 1. Interest in parallel computing
DurationSummer
Start Date06/07/2021
End Date08/15/2021

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