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Overview
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Explore task scheduling fairness in Julia through a detailed conference talk examining a critical one-line patch implemented in RAI's Julia build that dramatically impacts scheduling fairness. Learn about the advantages and disadvantages of this scheduling modification, understand the fairness implications inherent in work-stealing schedulers, and discover how other programming languages have approached similar scheduling challenges. Gain insights into the technical trade-offs involved in task scheduling decisions and consider potential alternative approaches to achieving better fairness in concurrent Julia applications. Examine real-world implications of scheduling policies on application performance and resource distribution across tasks.
Syllabus
Task scheduling and fairness | Pamnany | JuliaCon Global 2025
Taught by
The Julia Programming Language