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Accelerated Computing with GPUs using CUDA and PyCUDA - Data Hub Tech Talk

Note: the session will be recorded for registrants who cannot attend at the scheduled time.

CUDA (Compute Unified Device Architecture) is NVIDIA's software framework for using graphical processing units (GPUs) for performing accelerated computing.  This technology underlies the recent advances in Artificial Intelligence (AI).  We will introduce CUDA and PyCUDA and build and test several examples in code.

Date:
Friday, April 26, 2024
Time:
12:30pm - 1:30pm
Location:
Data Hub presentation / collaboration space
Campus:
University of Idaho - Moscow campus
Presenter:
Lucas Sheneman, Director - Research Computing and Data Services
Categories:
Data Hub Library Workshop

Registration is required. There are 35 in-person seats available. There are 87 online seats available.

Upcoming Workshops

Time Zone: Pacific Time - US & Canada (change)

Apr
24
3:30pm - 4:30pm, First Floor Classroom (business hours), University of Idaho - Moscow campus.
Apr
26
12:30pm - 1:30pm, Data Hub presentation / collaboration space, University of Idaho - Moscow campus.
May
1
12:30pm - 4:00pm, The MILL @ UIdaho Library, University of Idaho - Moscow campus.