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Abstract:

This video chronicles the extensive and often frustrating process of enabling AMD's ROCm compute stack, particularly for AI workloads like llama.cpp, on a 64-core RISC-V system ("RISC-V Ripper") using the T2 Linux distribution. The speaker navigates a complex web of build system issues within ROCm, including debugging inconsistent CMake flags across projects, resolving hardcoded paths, fixing linker errors, managing dependencies (HIP, Blas, FFT, RTC), and dealing with extremely long build times exacerbated by single-threaded bottlenecks on the RISC-V platform. While significant progress is made, successfully building llama.cpp with HIP acceleration on an x86 system, the RISC-V effort hits a major roadblock: a segmentation fault in Clang during the compilation of the RockSolver component. The stream highlights the immense challenges of porting complex software ecosystems to new hardware architectures and the difficulties posed by intricate and sometimes flawed build systems. Side discussions include Linux stability on Ryzen laptops and experiences with Apple Silicon/Asahi Linux.

Debugging ROCm: Enabling AI on RISC-V and Fixing Build Systems

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