Author

Jia-Lu Zhang

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Preprint Aug 2026

The Ingestion Tax: Adopting File-Backed Weights in Tensor Frameworks

This work presents file-backed weight adoption: a framework-independent producer maps each tensor with MAP_SHARED, wraps the pages as a no-copy GPU buffer, and exports a DLPack capsule that PyTorch or MLX imports as ordinary storage.

Yuan Si, Yufeng Lin, Da-Ming Li et al. · 1 citation

Preprint Aug 2026

Who Should Own the Expert Cache? Kernel-Managed Tiering for Trillion-Parameter MoE Inference

The resulting design principle is simple: in this regime, let the kernel own eviction, while model-specific knowledge is best spent on admission and advice.

Yuan Si, Yufeng Lin, Daming Li et al. · 2 citations