Triton

As deep learning models grow larger and datasets expand, practitioners face an increasingly common bottleneck: GPU memory bandwidth. While cutting-edge hardware offers FP8 precision to speed up training and inference, most data scientists and...

Within the previous article of this series, operation in all fields of computer science: matrix multiplication. It's heavily utilized in neural networks to compute the activation of linear layers. Nevertheless, activations on their...

multiplication is undoubtedly probably the most common operation performed by GPUs. It's the elemental constructing block of linear algebra and shows up across a large spectrum of various fields equivalent to graphics, physics...

, slightly optimisation goes a great distance. Models like GPT4 cost greater than $100 tens of millions to coach, which makes a 1% efficiency gain price. A robust strategy to optimise the efficiency of...