Parallel Computing on Your Own Machine | Week 8 | 18.S191 MIT Fall 2020
You can get parallel performance on your own multithreaded laptop and desktop, but do get serial performance first. Fernbach's lecture can be found here: • SC19 Awards Presentation: IEEE-CS Sidney F... For full course information, visit https://github.com/mitmath/18S191 Course website: https://computationalthinking.mit.edu... 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/JuliaCommunity/You... Interested in improving the auto generated captions? Get involved here: https://github.com/JuliaCommunity/You...

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Working With Images in Julia | Week 1, lecture 3 | 18.S191 MIT Fall 2020 | Grant Sanderson

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Stanford CS149 I Parallel Computing I 2023 I Lecture 1 - Why Parallelism? Why Efficiency?
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13. Intro to Parallel Computing [HPC in Julia]

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Multi-Threading Using Julia for Enterprises

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Resistors, Equilibrium and Poisson's equation | Week 9 | 18.S191 MIT Fall 2020 | Alan Edelman

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Reflections on an epidemic video | Week 6 | 18.S191 MIT Fall 2020 | Grant Sanderson

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Guide to Parallel Computing in Julia

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Structure | Week 3 | 18.S191 MIT Fall 2020

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MIT Professor on AI’s future in a post-Moore’s Law era

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MIT Just Revealed the AI Bubble's Fatal Flaw

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ThreadsX.jl: easier multithreading in Julia

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Multigrid | Week 10 | MIT 18.S191 Fall 2020 | John Urschel

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A programming language to heal the planet together: Julia | Alan Edelman | TEDxMIT

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Julia: A third perspective - parallel computing explained

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Webinar | Building the Hardware Backbone of Quantum Computing with MIT’s Prof. William D. Oliver

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Seam Carving | Week 2, lecture 7 | 18.S191 MIT Fall 2020

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Parallel Computing for Enterprises in Julia

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How To Think SO CLEARLY People Assume You're A Genius

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Raytracing in 3D | Week 9 | 18.S191 MIT Fall 2020 | James Schloss

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