if i had to learn cuda compilation, ptx, register spills, and gpu disassembly from…
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if i had to learn cuda compilation, ptx, register spills, and gpu disassembly from scratch because my "optimized" kernel got slower, i'd start here links in thread 🧵 the compilation and machine code section of our ai performance engineering repo contains four nvidia resources for understanding how cuda source becomes gpu instructions and inspecting the code behind ai kernels: understanding ptx explains how nvcc separates cpu and gpu code, why ptx is a virtual instruction set, and how ptxas turns it into a cubin. the article covers fatbins, driver jit compilation, and gpu compatibility, giv
Posted by steve (6.3k followers) 1 days ago · 162 likes · 13.2k views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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