Inazhar labsbyazhar·Oct 23How matrix multiplication teaches almost every important GPU optimizationIf you want one workload that teaches coalescing, tiling, registers, shared memory, Tensor Cores, pipelining, occupancy and autotuning, use…
Abbas Mehrabian·Oct 8What does an improved upper bound on ω meanIn August 2026, we uploaded a note on arXiv, proving ω < 2.371177. This post explains what this means and why we care.A response icon4A response icon4
Abhishekh Kumar Singh·Aug 17Breaking the Quadratic Barrier: The New Engines of Distributed Sparse Matrix MultiplicationIn the world of distributed graph analytics, multiplying two sparse n×n matrices is the engine that drives everything from triangle…
Gokul Senthil·Aug 6The Book of Shaders, Chapter 6: Colors — Working Through the ExercisesThis post walks through my solutions to the practice exercises at the end of the Book of Shaders “Colors” chapter, covering how vec3 is…
Gokul Senthil·Jul 24Learning Distortion — Part 1: Distortion with Matrix.Building 2D coordinate control for dist — the foundation for water, fire, and swirling black holes.
Mathcube·Jul 1Fast Matrix Multiplication: The Exponent Won’t Stop FallingFrom Strassen’s 1969 surprise to AlphaTensor — why the most rehearsed operation in mathematics keeps getting cheaper.A response icon2A response icon2
InJungletronicsbyJ3·Jun 7Snack Bar Matrix Calculator in Pure CLearning Matrix Multiplication Through a Real-World Example
Rohit Gupta·Jun 3Matrix Multiplication: The Heart of Deep Learning (Part-2)So far, we’ve discovered something important.
