#matmul

Inference Optimization : GEMM

If you look under the hood of any modern LLM, past the attention mechanisms and layer norms, it basically boils down to one thing: Matrix…

How OpenMP Powers the Attention Layer

Matrix multiplication (matmul) is the heart of the attention mechanism in transformer-based large language models (LLMs) like LLaMA2. Every…

Luminal Internal Representation Explained

Going Through How Luminal Represents and CodeGens Naive Matmul

Index Matrix Tiles

Matmul, simplified: a deep learning essential

You’ve probably seen the torch.matmul function before, but do you really — and I mean, really — understand what it does?

Breaking the Bottleneck: Scalable Language Models without Matrix Multiplication

The world of large language models (LLMs) is constantly pushing the boundaries of what’s possible. These AI wizards can generate text…

torch.mm vs torch.mul vs torch.matmul

Pytorch offeres three different functions to perform multiplication between two tensors. Lets understand how these functions are different…

Numpy matmul vs dot: Which is Best Suited for Your Needs?

Matrix multiplication, often denoted as matmul, and dot product are fundamental operations in linear algebra. They are pivotal in various…

Matrix Multiplication — Part2 Lesson8

Part-2 of FastAi “From the Foundations” is finally out today. I don’t remember the last time I was this excited for a MOOC. As soon as the…