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School of Integrated Circuits, Peking University
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Unlocking the potential of compute-in-memory accelerators for LLMs requires carefully navigating a complex dataflow design space, and AccelCIM provides the first systematic framework to do so.
Overcome LLM training bottlenecks by co-designing chiplet architectures, training parallelism, and optical interconnects.
