Harmonica: A Framework of Heterogeneous Computing Systems With Memristor-Based Neuromorphic Computing Accelerators.

IEEE Transactions on Circuits and Systems I: Regular Papers(2016)

引用 67|浏览117
暂无评分
摘要
Following technology scaling, on-chip heterogeneous architecture emerges as a promising solution to combat the power wall of microprocessors. This work presents Harmonica-a framework of heterogeneous computing system enhanced by memristor-based neuromorphic computing accelerators (NCAs). In Harmonica, a conventional pipeline is augmented with a NCA which is designed to speedup artificial neural ne...
更多
查看译文
关键词
Memristors,Artificial neural networks,Active appearance model,Neuromorphics,Calibration,Immune system,Training
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要