4 citations · 5 across the 8 of their papers we have counts for
8 papers
CUDA-Harness: Harnessing Agentic CUDA Kernel Generation and Optimization from Natural Language
Qi Fan, An Zou, Yehan Ma
Developing high-performance CUDA kernels demands specialized knowledge in algorithm implementation, correctness validation, and hardware-aware parallel optimization, creating a sub…
CUDABench: Benchmarking LLMs for Text-to-CUDA Generation
Jiace Zhu, Wentao Chen, Qi Fan +6
Recent studies have demonstrated the potential of Large Language Models (LLMs) in generating GPU Kernels. Current benchmarks focus on the translation of high-level languages into C…
TimeBill: Time-Budgeted Inference for Large Language Models
Qi Fan, An Zou, Yehan Ma
Large Language Models (LLMs) are increasingly deployed in time-critical systems, such as robotics, autonomous driving, embodied intelligence, and industrial automation, where gener…
CUDA-LLM: LLMs Can Write Efficient CUDA Kernels
Wentao Chen, Jiace Zhu, Qi Fan +2
Large Language Models (LLMs) have demonstrated strong capabilities in general-purpose code generation. However, generating the code which is deeply hardware-specific, architecture-…
A Survey of Real-time Scheduling on Accelerator-based Heterogeneous Architecture for Time Critical Applications
An Zou, Yuankai Xu, Yinchen Ni +6
Accelerator-based heterogeneous architectures, such as CPU-GPU, CPU-TPU, and CPU-FPGA systems, are widely adopted to support the popular artificial intelligence (AI) algorithms tha…
OIDM: An Observability-based Intelligent Distributed Edge Sensing Method for Industrial Cyber-Physical Systems
Shigeng Wang, Tiankai Jin, Yehan Ma +1
Industrial cyber-physical systems (ICPS) integrate physical processes with computational and communication technologies in industrial settings. With the support of edge computing t…
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference
Xiangjie Li, Chenfei Lou, Zhengping Zhu +4
By adding exiting layers to the deep learning networks, early exit can terminate the inference earlier with accurate results. The passive decision-making of whether to exit or cont…
Holistic Cyber-Physical Management for Dependable Wireless Control Systems
Yehan Ma, Dolvara Gunatilaka, Bo Li +2
Wireless sensor-actuator networks (WSANs) are gaining momentum in industrial process automation as a communication infrastructure for lowering deployment and maintenance costs. In…