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Primus-Turbo
Primus-Turbo contient 7 skills collectées depuis AMD-AGI, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Primus-Turbo handoff to the autonomous kernel-optimize loop — collect the prerequisites (kernel path, focused test/bench commands, scoring metric, execution mode, quick-validation harness) a kernel campaign needs and pass them on. Use when pushing a Primus-Turbo kernel toward the hardware limit, not just spot-checking perf.
Develop, debug, and validate Primus-Turbo operators and modules on AMD GPUs. Covers the layered architecture (ops / kernels-dispatcher / Triton / HIP-CK csrc / modules), how to add or change a feature end-to-end, accuracy verification (SNR, tolerances, reference implementations), performance benchmarking, the backend dispatch system, and build/test/bench commands. Use for any Primus-Turbo development task (GEMM, Attention, GroupedGEMM, MoE, quantization, normalization, activation) and for accuracy or performance validation.
AI-driven operator performance optimization framework. Defines the optimization loop, execution environment selection, knowledge routing, and logging conventions to drive agent-autonomous iteration toward hardware limits.
Primus-Turbo feature development workflow — the layered architecture (ops / kernels-dispatcher / Triton / HIP-CK csrc / modules), how to wire a new operator end-to-end, which layer to touch, and which existing file to copy. Use when adding or changing a Primus-Turbo operator or module on AMD GPUs.
Primus-Turbo performance verification — run single-operator and suite benchmarks, read the latency/TFLOPS metrics, source real-model shapes, and derive a combined training-step metric. Use when measuring latency or throughput of a Primus-Turbo operator.
Primus-Turbo accuracy verification — compare an operator against a higher-precision reference for forward and backward, with the right gate (allclose for bf16/fp16/fp32, SNR for fp8/fp4) and FP8 encoding awareness. Use when validating numerical correctness of a Primus-Turbo operator.
ROCm profiling workflow for AMD GPU kernels using rocprofv3 and rocprof-compute. Use when profiling hot kernels, collecting counters, diagnosing memory-vs-compute-vs-stall bottlenecks, reading Perfetto traces, or validating low-precision AMD kernels.