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Optimizing Deep Learning Material Interface Reconstruction
Event Type
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Posters
Tags
In-Person Only
Registration Categories
TP
XO / EX
TimeThursday, 18 November 20218:30am - 5pm CST
LocationSecond Floor Atrium
DescriptionCurrent material interface reconstruction methods provide inaccurate reconstructions; a neural network provides more accurate reconstructions. The initial model architecture was too large to provide the required throughput. Reducing the size of the model shows a smaller model could be used and provide similar accuracy. The throughput of the reduced model reaches the target throughput and increases throughput by 15x on NVIDIA A100 GPUs. Further work is being done porting the full model to SambaNova systems.
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