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GTC ON-DEMAND

HPC and AI
Presentation
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Julia: Full-Stack GPU computing for AI
Abstract:
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.
 
Topics:
HPC and AI, Programming Languages
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8269
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