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Seamless Transition from Single-core Python to Julia Multi-GPU

The Julia Programming Language via YouTube

Overview

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Learn about transitioning from single-core Python to multi-GPU Julia implementations in this conference talk from JuliaCon 2024. Explore a real-world case study from Europe's Human Brain Project where domain scientists and HPC experts collaborated to transform a single-CPU-core Python prototype into a high-performance Julia application for Bayesian optimization of neurological network hyper-parameters. Discover how automatic correctness verification helped scientists without prior Julia experience gain confidence in the ported application. Examine the use of ParallelStencil.jl to unify prototyping and production in a single codebase that scales from a single CPU core to thousands of GPUs. Master techniques for implementing checkpoints to verify code blocks and automatically detect potential issues during refactoring or when handling new input classes.

Syllabus

Seamless transition from single-core Python to Julia Multi-GPU | Omlin | JuliaCon 2024

Taught by

The Julia Programming Language

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