3 papers
cs.AR2026
CHIPSMORE: Compute-in-Interconnect and -Memory Chiplets for Multi-Mode Multi-Request LLM Inference Acceleration
Yue Jiet Chong, Yimin Wang, Zhen Wu +3
Large language model (LLM) inference exhibits substantial variability across adaptation modes, context lengths, and request concurrency, creating challenges for maintaining high ut…
cs.AR2026
PRIMAL: Processing-In-Memory Based Low-Rank Adaptation for LLM Inference Accelerator
Yue Jiet Chong, Yimin Wang, Zhen Wu +1
This paper presents PRIMAL, a processing-in-memory (PIM) based large language model (LLM) inference accelerator with low-rank adaptation (LoRA). PRIMAL integrates heterogeneous PIM…
cs.AR2025
PICNIC: Silicon Photonic Interconnected Chiplets with Computational Network and In-memory Computing for LLM Inference Acceleration
Yue Jiet Chong, Yimin Wang, Zhen Wu +1
This paper presents a 3D-stacked chiplets based large language model (LLM) inference accelerator, consisting of non-volatile in-memory-computing processing elements (PEs) and Inter…