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One Global Beam Across Many GPUs: High-Throughput Beam Search at Billion-Record Frontier Scale
Beam search repeatedly makes many children, removes duplicates, and keeps the best $B$. We show how many GPUs can perform these steps as one search even when the retained set does not fit on one device. States and candidates stay on the GPUs; the CPU receives only small control and ancestry records.
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