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cs.AR2026
TOM: A Ternary Read-only Memory Accelerator for LLM-powered Edge Intelligence
Hongyi Guan, Yijia Zhang, Wenqiang Wang +4
The deployment of Large Language Models (LLMs) for real-time intelligence on edge devices is rapidly growing. However, conventional hardware architectures face a fundamental memory…
cs.AR2025
CCSS: Hardware-Accelerated RTL Simulation with Fast Combinational Logic Computing and Sequential Logic Synchronization
Weigang Feng, Yijia Zhang, Zekun Wang +4
As transistor counts in a single chip exceed tens of billions, the complexity of RTL-level simulation and verification has grown exponentially, often extending simulation campaigns…
cs.AR2025
ROMA: a Read-Only-Memory-based Accelerator for QLoRA-based On-Device LLM
Wenqiang Wang, Yijia Zhang, Zikai Zhang +4
As large language models (LLMs) demonstrate powerful capabilities, deploying them on edge devices has become increasingly crucial, offering advantages in privacy and real-time inte…