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TensorSocket: Shared Data Loading for Deep Learning Training

Summary: TensorSocket enables collocated DL training processes to share a single data loader, removing redundant CPU preprocessing and data copies while leveraging GPU–GPU interconnects to serve batches directly. Pipeline- and hardware-agnostic, supports heterogeneous models/batch sizes, yields up to 2× throughput and ~50% cloud CPU cost savings, and outperforms CoorDL and Joader. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7342
Venue
SIGMOD
Year
2026
Pagerank
4.456315e-05
Overall Rank
8,735 | 39.24%
DOI
10.1145/3749185

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Rank Citing Paper Year Venue Pagerank
10,183 Mixtera: A Data Plane for Foundation Model Training 2026 SIGMOD 4.1945683e-05
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