CS6810 -- Lecture 36. Lectures on Cache Hierarchies.

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Full-course playlist 'CS6810 Lectures' from a curated course list (CS/ECE 6810 Computer Architecture, Spring 2016, University of Utah (YouTube)); uploader is instructor; playlist judged: Full semester graduate computer architecture course taught and uploaded by the instructor, covering pipelining, ILP, memory, and multiprocessors in depth.; title passed a strict title check; oEmbed verified.

What you'll learn

A 12-minute video from Rajeev Balasubramonian: “CS6810 -- Lecture 36. Lectures on Cache Hierarchies.”.

Programming & CS

Video by Rajeev Balasubramonian, played through YouTube's embedded player.

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CS6810 -- Lecture 12. Computer Architecture Lectures on Pipelining Rajeev BalasubramonianProgramming & CS

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CS6810 -- Lecture 56. Lectures on Multiprocessors.Rajeev BalasubramonianProgramming & CS

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CS6810 -- Lecture 12. Computer Architecture Lectures on Pipelining

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A 12-minute video from Rajeev Balasubramonian: “CS6810 -- Lecture 12. Computer Architecture Lectures on Pipelining”.

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CS6810 -- Lecture 56. Lectures on Multiprocessors.

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A 6-minute video from Rajeev Balasubramonian: “CS6810 -- Lecture 56. Lectures on Multiprocessors.”.

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Builds up what a neural network actually is — neurons as numbers, layers, weights and biases — using handwritten-digit recognition as the running example.

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Building a GPT-style language model from scratch in code, following 'Attention Is All You Need'.

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How transformer models (the 'T' in GPT) turn text into vectors and predict the next token, step by step.

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Building micrograd, a tiny autograd engine, to understand backpropagation completely.

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Freya Holmér builds Bézier curves from linear interpolation up, covering de Casteljau's algorithm, derivatives, arc length and their use in games and graphics.

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Building a computer around the 6502 processor on a breadboard and running 'Hello, world'.

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Jim Weirich derives the Y combinator live, step by step, using nothing but Ruby lambdas, and along the way teaches the refactorings of lambda calculus.

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Sandi Metz refactors the notorious Gilded Rose kata live, showing how small, disciplined steps and duplication-over-wrong-abstraction lead to clean object-oriented code.