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Julia: Full-Stack GPU computing for AI

March 27 @ 6:00 PM - 9:00 PM

Free

Learn how the Julia programming language can be used for GPU programming, both for (1) low-level kernel programming, and (2) high-level array and AI libraries. This full-stack support drastically simplifies code bases, and GPU programmers can take advantage of all of Julia’s most powerful features: generic programming, n-dimensional kernels, higher order functions and custom numeric types. We’ll give overview the compiler’s implementation and performance characteristics via the Rodinia benchmark suite. We’ll show how these techniques enable highly flexible AI libraries with state-of-the-art performance, and allow a major government user to run highly computational threat modelling on terabytes of data in real time.

Details

Date:
March 27
Time:
6:00 PM - 9:00 PM
Cost:
Free
Event Category:
Website:
https://events.hackerdojo.com/event/5879399907852288-julia-full-stack-gpu-computing-for-ai

Other

Rooms
Classroom
Number of attendees
35
Status
approved
Event ID
5879399907852288-julia-full-stack-gpu-computing-for-ai
External URL
https://www.meetup.com/Bay-Area-Julia-Users/