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Tyler Sorensen

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#machine learning Preprint Oct 2026

GPU Goldmines: Tunable WebGPU Kernels for Edge LLM Inference

This work presents GPU Goldmines, a framework for specifying, executing, and tuning WebGPU kernels with kernels for key LLM building blocks: matrix multiplication, matrix-vector multiplication, and flash attention, and characterize performance across diverse devices, shapes, and browsers.

Rithik Sharma, Reese Levine, Zhe-Yuan Chen et al. · 0 citations

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