How to use likwid-topology

Why it's on BrighterTube

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What you'll learn

A 8-minute video from NHR@FAU: “How to use likwid-topology”.

Programming & CS

Video by NHR@FAU, played through YouTube's embedded player.

58:54

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General-Purpose GPU Hashing Data Structures and their Application in Accelerated Genomics

NHR@FAU

A 59-minute video from NHR@FAU: “General-Purpose GPU Hashing Data Structures and their Application in Accelerated Genomics”.

1:01:43

Parallel Programming 2020: Lecture 3 - Parallelism

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A 62-minute video from NHR@FAU: “Parallel Programming 2020: Lecture 3 - Parallelism”.

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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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CS50x 2024 lecture 1: an introduction to C — syntax, types, conditionals, loops and compiling.

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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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