In-memory computing is an emerging computing paradigm that overcomes the limitations of exiting Von-Neumann computing architectures such as the memory-wall bottleneck. In such paradigm, the ...

The developed associative-memory architecture utilizes a mapping operation of the Hamming distances into frequency space with ring oscillators programmable in discrete frequency steps. As a result ...

The above does not work for the two code paths listed above, as they are called from event handlers, at which time the scheduling cycle has not even started. A possible solution to the above problem ...

What’s happening is that vLLM’s memory allocation pipeline first instantiates the full model weights in GPU memory—even when you set up CPU offloading for the KV cache—then tries to offload the cache, ...