Inference Accelerator that Integrates Compute-in-Interconnect and Memory to Mitigate the Memory Wall (NUS)

Researchers at the National University of Singapore published a technical paper titled “CIMERA: Compute-in-Interconnect and Memory with Reconfigurable Precision for LLM Inference.” Abstract Excerpt: “This paper presents CIMERA, a reconfigurable-precision LLM inference accelerator that integrates compute-in-interconnect and memory to mitigate the memory wall and enable precision-aware execution. ” Find the technical paper here. July 2026. Chong, Yue Jiet, Yimin Wang, Wei Zhang, and Xuanyao Fong.