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This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401

This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401
For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.

For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Register now for the Women in Data Science (WiDS) Worldwide conference 2022, a technical conference featuring outstanding women discussing their exceptional work in data science and related fields, in a wide variety of research domains. Everyone is welcome and encouraged to attend. This conference is a hybrid event, in-person at Stanford University and online. The in-person event is sold out, except for a few tickets for Academia (faculty/staff)/Non-profit/Government. http://bit.ly/widsworldwide2022_stanfordeventcalendar Tickets are on sale now for the virtual conference, which will start two hours earlier than the in-person conference (6:00 am PST). The first 5,000 students who register can do so for free. Additional discounts are available for Academia (faculty/staff/postdoc)/Non-profit/Government.
More Information:
https://www.widsconference.org/