Kunming Zhang

According to our database, Kunming Zhang authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

BitRed: Taming Non-Uniform Bit-Level Sparsity with a Programmable RISC-V ISA for DNN Acceleration.

Yanhuan Liu, Wenming Li, Kunming Zhang, Yuqun Liu, Siao Wen, Lexin Wang, Tianyu Liu, Haibin Wu, Zhihua Fan, Xiaochun Ye, Dongrui Fan, Xuejun An

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

AGFT: An Adaptive GPU Frequency Tuner for Real-Time LLM Inference Optimization.

Zicong Ye, Kunming Zhang, Guoming Tang

CoRR, August, 2025

DFU-E: A Dataflow Architecture for Edge DSP and AI Applications.

Wenming Li, Zhihua Fan, Tianyu Liu, Zhen Wang, Haibin Wu, Meng Wu, Kunming Zhang, Yanhuan Liu, Ninghui Sun, Xiaochun Ye, Dongrui Fan

IEEE Trans. Parallel Distributed Syst., June, 2025

WattsOnAI: Measuring, Analyzing, and Visualizing Energy and Carbon Footprint of AI Workloads.

Hongzhen Huang, Kunming Zhang, Hanlong Liao, Kui Wu, Guoming Tang

CoRR, June, 2025

LiteGD: Lightweight and Dynamic GPU Dispatching for Large-scale Heterogeneous Clusters.

Kunming Zhang, Hanlong Liao, Guoming Tang

CoRR, June, 2025

CODA: A Computation-Driven Paradigm for Sparse DNN Acceleration.

Yanhuan Liu, Wenming Li, Kunming Zhang, Tianyu Liu, Xiaochun Ye, Xuejun An

IEEE Comput. Archit. Lett., 2025

LightCacheRL: A Lightweight Reinforcement Learning Framework for Unified Cache Management.

Kunming Zhang, Zhihua Fan, Yingchun Fu, Yanhuan Liu, Lexin Wang, Yuqun Liu, Haibin Wu, Wenming Li

Proceedings of the Network and Parallel Computing, 2025

2023

Alleviating Transfer Latency in DataFlow Accelerator for DSP Applications.

Haibin Wu, Wenming Li, Zhihua Fan, Zhen Wang, Tianyu Liu, Junying Huang, Shengzhong Tang, Yanhuan Liu, Kunming Zhang, Xiaochun Ye, Dongrui Fan

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

ROMA: A Reconfigurable On-chip Memory Architecture for Multi-core Accelerators.

Shantian Qin, Wenming Li, Zhihua Fan, Zhen Wang, Tianyu Liu, Haibin Wu, Kunming Zhang, Xuejun An, Xiaochun Ye, Dongrui Fan

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023