Fleet: Multi-Die GPU Task Abstraction
matt_d · hn · 2026-07-16
This paper proposes Fleet, a megakernel hierarchical task abstraction designed for multi-die GPUs. The title itself indicates a focus on system-level optimization for GPU execution and task organization, rather than model or application-layer content.
In terms of direction, it aligns more closely with AI infrastructure: investigating how to more effectively organize and run large-scale kernels on new GPU form factors, providing foundational methods for future training/inference system optimizations.
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