AI Research

    SonicSampler: Unified Tile-Aware Kernels for LLM Sampling and Speculative Verification

    Sampling in LLM inference comprises a combinatorial set of logit processing, token selection, and verification operations for speculative decoding. However, existing implementations either accelerate only subsets of this pipeline, rely on multiple kernel launches, or assume homog...

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    ArXiv CS.AI

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    SonicSampler unifies LLM sampling and speculative verification into a single, optimized kernel, significantly boosting inference speed. This innovation addresses limitations in existing methods, enabling more efficient handling of dynamic, real-world language model workloads.

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