Author

Chenxu Niu

NVIDIA Corporation

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Book Open access Jul 2026

Power-Centric Observability for HPC Systems: Design, Deployment, and Evaluation on REPACSS

A power-centric observability framework deployed on the NSF REPACSS system that enables non-intrusive and consistent energy analysis across facility, rack, node, and job scopes, and demonstrates practical cross-scope energy observability in production HPC systems.

Yong-Jia Zhao, Jie Li, Chenxu Niu et al. · Practice and Experience in A... · 1 citation

#artificial intelligence Preprint Aug 2026

MicroEvo: Knowledge-Guided LLM Sampling for Efficient Microarchitecture Design Space Exploration

MicroEvo is a knowledge-guided framework that couples off-the-shelf LLMs with Monte Carlo Tree Search (MCTS) for multi-objective microarchitecture optimization and demonstrates strong scalability to a complex industrial-scale core.

Jia Xiong, Runkai Li, Chenxu Niu et al. · 1 citation

#artificial intelligence Preprint Aug 2026

TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM Serving

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 confident outside its measured scope. We present TokenPowerSandbox, an evidence-gated workflow that combines an interpretable CPU-resident pro...

Chenxu Niu · 0 citations