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Headlines · 1

  1. Google adds cycle-level Pallas kernel profiling to XProf on TPU v7

    Google has added a kernel performance profiling suite to XProf, its open-source profiler for TPU workloads, giving developers cycle-level detail on custom Pallas kernels. Such kernels — built with Pallas, Mosaic or Triton — skip standard XLA passes and previously appeared as a single opaque block in traces, skewing static cost-model metrics such as "optimal FLOPs" and effective throughput. The suite exposes lowered MLIR and per-cycle low-level operation (LLO) data, and samples hardware counters at a 1µs floor (sub-microsecond with external triggers). In a Google blocked matrix-multiplication example, sync_wait counters revealed memory stalls; adding triple buffering cut kernel execution from 125.5µs to 88µs, about 30%, though the article stresses this is one demo kernel, not a benchmark.

    InfoQ 中文 AI&大模型 · 🔥 0

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