From Silicon to Thread Identity: How CUDA Threads Know Who They Are

The Natural Question When you start learning CUDA, you use threadIdx.x, blockIdx.x and blockDim.x like magic variables that always contain the right value. At some point, you naturally start wondering: how are these values computed? Is there a function somewhere in the CUDA runtime that produces them? Can you see the source code behind them? The answer is surprising: there is no code. These values are not the result of a software computation. They come directly from the hardware. ...

February 13, 2026 · 8 min · 1612 words · Florian Mattana

Exploring PTX: A Close Look at Tile Optimization in CUDA

Originally, I suggested on LinkedIn that I would write an article to unabstract a PyTorch program and reveal some potential CUDA optimizations we could make by debugging it. I actually took another road, but I kept in mind the desire to dig deeper from a given point of abstraction. For context, I am currently writing a small program to compare some kernels with different optimization choices or intentionally unoptimized kernels to highlight the differences between various implementation options. ...

January 15, 2026 · 10 min · 1925 words · Florian Mattana