1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness
Xinyi Zhang, Cong Hao, Peipei Zhou +2
The complex nature of real-world problems calls for heterogeneity in both machine learning (ML) models and hardware systems. The heterogeneity in ML models comes from multi-sensor…
cs.LG2022★ 1 cited
EF-Train: Enable Efficient On-device CNN Training on FPGA Through Data Reshaping for Online Adaptation or Personalization
Yue Tang, Xinyi Zhang, Peipei Zhou +1
Conventionally, DNN models are trained once in the cloud and deployed in edge devices such as cars, robots, or unmanned aerial vehicles (UAVs) for real-time inference. However, the…
cs.AR2016★ 1 cited
ARAPrototyper: Enabling Rapid Prototyping and Evaluation for Accelerator-Rich Architectures
Yu-Ting Chen, Jason Cong, Zhenman Fang +2
Compared to conventional general-purpose processors, accelerator-rich architectures (ARAs) can provide orders-of-magnitude performance and energy gains and are emerging as one of t…