Flash Attention in CUDA

Build a tiled, IO-aware Flash Attention kernel with online softmax and causal masking.

Hard2.2 hours26 steps

Overview

Build a tiled, IO-aware Flash Attention kernel with online softmax and causal masking.

What you'll learn

GPU kernels Performance Attention

FULL WALKTHROUGH

Learn every step on its own page

This project is no longer compressed into a few chapters. Open the dedicated learning workspace for a lesson-by-lesson explanation with concepts, MathJax mathematics, code, tests, mistakes, checkpoints, and persistent navigation.

Open 26-step walkthrough →

Build progress

0 / 26 steps0%

Move the tracker as you finish the original Deep-ML steps. Reaching 100% unlocks the completion action and certificate.

Architecture

Work through the system one dependable layer at a time. Each stage feeds the next and remains independently testable.

01Tiling→

02Online softmax→

03Memory hierarchy

∑

Mathematics & visual explanation

Translate the core equations into code, validate intermediate tensors, and compare the implementation with a small numerical reference.

objective(θ) = data_term(θ) + λ · regularization(θ)

The exact objective evolves with each milestone. Keep a notebook of shapes, invariants, and numerical checks.