Abstract: Processing-In-Memory (PIM) architectures alleviate the memory bottleneck in the decode phase of large language model (LLM) inference by performing operations like GEMV and Softmax in memory.

Abstract: Deep Neural Networks (DNNs) have gained widespread adoption in diverse fields, including image classification, object detection, and natural language processing. However, training ...

What happens when the backbone of modern technology, memory, becomes a scarce resource? The global DRAM shortage isn’t just a supply chain hiccup; it’s a full-blown crisis reshaping industries from AI ...