A Coding Guide to NVIDIA’s Tile-Based GPU Programming: From cuTile and Triton Kernels to Flash Attention

Summary

<p>In this tutorial, we explore NVIDIA tile-based GPU programming with TileGym, building a Colab workflow that runs across different hardware. We probe the CUDA environment, try the real cuTile backend, and fall back to Triton when standard Colab GPUs lack the cuTile stack. We learn the core tile idea: operate on whole data tiles instead of single threads, then load, compute, and store them. We implement vector addition, fused GELU, row-wise softmax, tiled matrix multiplication, and flash attention, checking each against PyTorch.</p> <p>The post <a href="https://www.marktechpost.com/2026/07/11/a-coding-guide-to-nvidias-tile-based-gpu-programming-from-cutile-and-triton-kernels-to-flash-attention/">A Coding Guide to NVIDIA’s Tile-Based GPU Programming: From cuTile and Triton Kernels to Flash Attention</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>