31 citations · 70 across the 6 of their papers we have counts for
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cs.AR2020★ 6 cited
Scalable Light-Weight Integration of FPGA Based Accelerators with Chip Multi-Processors
Zhe Lin, Sharad Sinha, Hao Liang +2
Modern multicore systems are migrating from homogeneous systems to heterogeneous systems with accelerator-based computing in order to overcome the barriers of performance and power…
cs.AR2020★ 18 cited
An Ensemble Learning Approach for In-situ Monitoring of FPGA Dynamic Power
Zhe Lin, Sharad Sinha, Wei Zhang
As field-programmable gate arrays become prevalent in critical application domains, their power consumption is of high concern. In this paper, we present and evaluate a power monit…
cs.AR2020★ 31 cited
HL-Pow: A Learning-Based Power Modeling Framework for High-Level Synthesis
Zhe Lin, Jieru Zhao, Sharad Sinha +1
High-level synthesis (HLS) enables designers to customize hardware designs efficiently. However, it is still challenging to foresee the correlation between power consumption and HL…