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Award ID contains: 2028427

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  1. ; ; ; ; ; ; ; ; (, Proceedings of the VLDB Endowment)
    Deep learning (DL) system research is often impeded by the limited availability and expensive costs of GPUs. In this paper, we introduce GPEmu, a GPU emulator for faster and cheaper prototyping and evaluation of deep learning system research without using real GPUs. GPEmu comes with four novel features: time emulation, memory emulation, distributed system support, and sharing support. We support over 30 DL models and 6 GPU models, the largest scale to date. We demonstrate the power of GPEmu by successfully reproducing the main results of nine recent publications and easily prototyping three new micro-optimizations. 
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    Free, publicly-accessible full text available February 1, 2026
  2. ; ; ; ; ; ; ; (, ACM)
    Free, publicly-accessible full text available November 4, 2025
  3. ; ; ; ; ; (, USENIX)
    Accepted Manuscript Full Text Available