Wed, Oct 12, 2022

4:30 PM – 6 PM EDT (GMT-4)

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Four speakers (2 graduate students, 2 postdocs) will individually discuss how their research work has greatly benefited from GPU computing. The speakers will cover the popular high-level GPU programming models of OpenACC, Kokkos and the AI frameworks (PyTorch, TensorFlow).

Target audience: Researchers looking to learn about how GPUs can be used to accelerate their research.

Workshop format: Interactive presentation

Knowledge prerequisites: The workshop presumes no knowledge of GPU computing. Experience with a compiled programming language would be beneficial.

Hardware/software prerequisites: None

Learning objectives: Attendees will learn about how specific researchers on campus started using GPUs to accelerate their work.


Israel Bonilla's profile photo

Israel Bonilla

Israel Bonilla is a graduate student in Mechanical Engineering working with Michael Mueller.

Haosen Ge's profile photo

Haosen Ge

Haosen Ge is a graduate student in Politics working with Kristopher Ramsay.

Hayk Hakobyan's profile photo

Hayk Hakobyan

Hayk Hakobyan is a postdoctoral researcher at the Princeton Plasma Physics Laboratory working in astrophysics.

Naser Mahfouz's profile photo

Naser Mahfouz

Naser Mahfouz is a postdoctoral researcher at NOAA-GFDL.

Hosted By

PICSciE/Research Computing | View More Events
Co-hosted with: GradFUTURES, The Graduate School

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