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. “CIMERA: Compute-in-Interconnect and Memory with Reconfigurable Precision for LLM Inference.” arXiv preprint arXiv:2607.13649 (July 2026). https://doi.org/10.48550/arXiv.2607.13649
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