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Home/News/Local Gradient Accumulation Speeds Training 1.7

Local Gradient Accumulation Speeds Training 1.7

PACI removes the bubbles that cripple asynchronous pipeline parallelism and shaves as much as 1.69× off time‑to‑accuracy compared with the fastest synchronous flush baseline. The paper demonstrates this gain on GPT‑2 Medium pre‑training while preserving the same peak memory usage. By locally accumul

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Tags:#cloud-computing#gradient-accumulation#asynchronous-parallelism#machine-learning

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