Heterogeneous Memory Chiplets Accelerate Multi-Request LLM Inference (NUS)

<p>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. CHIPSMORE employs... <a class="read_more" href="https://semiengineering.com/heterogeneous-memory-chiplets-accelerate-multi-request-llm-inference-nus/">&#187; read more</a></p> <p>The post <a href="https://semiengineering.com/heterogeneous-memory-chiplets-accelerate-multi-request-llm-inference-nus/">Heterogeneous Memory Chiplets Accelerate Multi-Request LLM Inference (NUS)</a> appeared first on <a href="https://semiengineering.com">Semiconductor Engineering</a>.</p>