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Grace Dinh
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GRACE DINH

I’m a PhD student at UC Berkeley working with James Demmel, affiliated with the
ADEPT, BeBOP, and Theory groups.

I’m broadly interested in making accelerators (both for ML and for other
applications) faster, both by mapping computational kernels onto accelerators
efficiently and by building tools to help explore the space of accelerator
architectures faster. I believe theoretical methods have a lot of promise
towards tractably exploring the enormous and often extremely nonconvex search
spaces involved, and as a result I’m interested in communication-avoiding
algorithms and lower bounds of all types.

If you’d like to collaborate or just say hi, please feel to contact me!