Abstract: Emerging transformer-based large language models (LLMs) involve many low-arithmetic intensity operations, which result in sub-optimal performance on general-purpose CPUs and GPUs. Processing ...
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Abstract: DRAM-based processing-in-memory (DRAM-PIM) has gained commercial prominence in recent years. However, its integration for deep learning acceleration, particularly for large language models ...