AQPIM: Breaking the PIM Capacity Wall for LLMs with In-Memory Activation Quantization

Kosuke Matsushima, Yasuyuki Okoshi, Masato Motomura +1

Processing-in-Memory (PIM) architectures offer a promising solution to the memory bottlenecks in data-intensive machine learning, yet often overlook the growing challenge of activa…