Introduction to Deep Dive On Codeglass For Julia Profiling
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Deep Dive On Codeglass For Julia Profiling Comprehensive Overview
In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. This video demonstrates interactive tools for exploring code and diagnosing why some code runs slowly due to "type instability." Building a Ruby
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Summary & Highlights for Deep Dive On Codeglass For Julia Profiling
- In this intermediate-level
- Originally aired Nov 22, 2023
- Understanding the performance of parallel code is tricky, however
- The notebooks used in this session are available on github: https://github.com/dpsanders/hands_on_julia Visit http://julialang.org/ ...
- Most important tools for optimizing Julia code: @profview and @code_warntype
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