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Olatunji Ruwase

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Universal Checkpointing: A Flexible and Efficient Distributed Checkpointing...USENIX ATC '252025-07-07
Universal Checkpointing decouples on-disk state from model parallel layout by converting checkpoints into an atomic checkpoint format that stores parameters…
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DeepSpeed – Efficient Training Scalability for Deep Learning ModelsPyTorch Day France 20252025-05-07
DeepSpeed presents concrete systems: Zero optimizer shards model state to remove GPU memory limits and enables training from a single GPU up to 100k GPUs…
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Quant-LLM: Accelerating the Serving of Large Language Models via FP6-Centric...USENIX ATC 20242024-07-10
Quant-LLM demonstrates that FP6 weight quantization preserves LLM quality while enabling much cheaper serving by building a CUDA kernel suite called TC-FPx…
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ZeRO-Offload: Democratizing Billion-Scale Model TrainingUSENIX ATC '212021-07-14
ZeRO-Offload offloads fp16 gradients and fp32 optimizer states and runs parameter updates on CPU while keeping forward/backward on GPU, enabling 30 billion…
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