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Heterogeneous Memory Chiplets Accelerate Multi-Request LLM Inference (NUS)
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Heterogeneous Memory Chiplets Accelerate Multi-Request LLM Inference (NUS)
Researchers at the National University of Singapore published a technical paper titled “CHIPSMORE: Compute-in-Interconnect and -Memory Chiplets for Multi-Mode Multi-Request LLM Inference Acceleration.” Abstract Excerpt: “This paper presents CHIPSMORE, a multi-mode and multi-request LLM inference accelerator that integrates compute-in-interconnect and CIM to support both base-mode and low-rank adaptation (LoRA) inference under diverse workloads. …
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