5 papers
TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM Serving
Chenxu Niu
Energy-aware LLM serving requires comparing configurations under realistic request shapes, yet exhaustive target-GPU profiling is costly and a cheap predictor can be dangerously co…
MicroEvo: Knowledge-Guided LLM Sampling for Efficient Microarchitecture Design Space Exploration
Jia Xiong, Runkai Li, Chenxu Niu +11
Microarchitecture design space exploration suffers from expansive search spaces and expensive PPA evaluation, leaving only a small simulation budget for design decision-making. Exi…
CiteRadar: A Citation Intelligence Platform for Researcher Profiling and Geographic Visualization
Chenxu Niu, Yiming Sun
Understanding the geographic reach and community structure of one's scholarly citations is increasingly valuable for career development, grant applications, and collaboration disco…
RTLocating: Intent-aware RTL Localization for Hardware Design Iteration
Changwen Xing, Yanfeng Lu, Lei Qi +5
Industrial chip development is inherently iterative, favoring localized, intent-driven updates over rewriting RTL from scratch. Yet most LLM-Aided Hardware Design (LAD) work focuse…
TokenPowerBench: Benchmarking the Power Consumption of LLM Inference
Chenxu Niu, Wei Zhang, Jie Li +4
Large language model (LLM) services now answer billions of queries per day, and industry reports show that inference, not training, accounts for more than 90% of total power consum…