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Memory-Efficient Attention Kernels

Evaluate and integrate next-generation attention kernels to boost throughput while safeguarding reproducibility and reliability.

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Action checklist

  • Map current attention hotspots and quantify their share of total latency or cost.
  • Build benchmarking harnesses covering realistic sequences, batch sizes, and hardware.
  • Evaluate new kernels for throughput, memory, correctness, and reproducibility under controlled experiments.
  • Integrate kernels using abstraction layers, fallbacks, and observability hooks.
  • Maintain documentation and governance artifacts to justify kernel choices to stakeholders.
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