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Articole: 6

  1. Reverse engineering Apple's simdgroup async copy on M4

    (Subho's research at your service 🫡)

    A while ago I read a great post on percisely.xyz/gemm about writing fast GEMM kernels on Apple GPUs.

  2. My 2 cents on Fusing GEMM + Top-K + Softmax on SM100

    (Subho's research at your service 🫡)

    Mixture-of-Experts (MoE) routing is one of the most latency-sensitive operations in modern LLMs.

  3. Optimizing 3D Square Convolution for cuDNN-like Performance - A Worklog

    (Subho's research at your service 🫡)

    Modern deep learning applications use convolution almost all the time, and guess what convolution is the heart of image processing.

  4. Preconditioned SGD can level up your training game

    (Subho's research at your service 🫡)

    For those who are a bit new to ML, you might find this post to be a little difficult to comprehend but I shall try my best to make you clear till the end of this post.

  5. Understanding Lightning Attention: A Breakthrough in Linear Attention Efficiency

    (Subho's research at your service 🫡)

    We all needs attention in our lives, don't we?

  6. From 10 to 1000 Tokens/Second: Cursor AI's Secret Weapon Revealed

    (Subho's research at your service 🫡)

    In the rapidly evolving landscape of AI-assisted coding, Cursor AI has emerged as a groundbreaking tool that's transforming how developers write code.