Current mainstream KV cache optimization techniques (quantization and pruning) suffer from "one-size-fits-all" limitations and cannot fully exploit the fine-grained differences within the KV cache.
Abstract: Soft robots have garnered considerable attention recently due to their versatility, compliance, and myriad applications. However, the inherent low stiffness of soft robots also limits their ...
When using VS Code Jupyter notebooks, variables (like large pandas DataFrames, NumPy arrays, or ML models) can consume a lot of memory, but it’s not obvious how much each one uses, which can lead to ...
Abstract: As the scaling of memory density slows physically, a promising solution is to scale memory logically by enhancing the CPU's memory controller to encode and store data more densely in memory.
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