Sep 2026
HERMeS: High-Fidelity and High-Speed Emulation with a Reconfigurable Framework for DRAM-Based Processing-in-Memory Systems
Rapid advancements in large-scale deep neural networks (DNNs) have increased the demand for substantial data storage and memory bandwidth, resulting in the well-known data movement bottleneck in traditional von Neumann-based architectures. Processing-in-memory (PIM) technology, which integrates computation within memor...
Inseong Hwang, Jihoon Jang, C. Park et al.
· ACM Transactions on Reconfig... · 0 citations