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Showing 1 to 3 of 3 for “"LLM Training"”.

  1. Efficient LLM training and inference with contextual sparsity

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01

    uiuc Repository record for Efficient LLM training and inference with contextual sparsity (opens in a new tab)

  2. Understanding LLM Communictaion

    The training of modern Large Language Models (LLMs) requires distributed computing across Graphics Processing Unit (GPU) clusters, where network communication efficiency critically impacts performance and cost. Existing profiling tools provide either high-level metrics or low-level timing data, but …

    heid-thes Repository record for Understanding LLM Communictaion (opens in a new tab)

  3. Methodologies, Architectures, and Prototypes for Scaling On- and Off-Chip Interconnects

    … for machine learning workloads. I first present LLMCompass-E2E, a comprehensive framework for modeling large-scale distributed LLM training performance. I then explore the potential of emerging co-packaged silicon photonic interconnects by proposing an optically connected multi-stack HBM module …

    cornell Repository record for Methodologies, Architectures, and Prototypes for Scaling On- and Off-Chip Interconnects (opens in a new tab)