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CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers

Summary: Crossbow enables single-server, multi-GPU DL with small batches; SMA-based synchronous model averaging preserves statistical efficiency across replicas. Auto-tunes replica count per GPU for throughput, achieving 1.3–4× speedups over TensorFlow on 8 GPUs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11833
Venue
VLDB
Year
2019
Pagerank
7.1731921e-05
Overall Rank
3,363 | 76.61%
DOI
10.14778/3342263.3342276

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