摘要: Approximate Computing (AC) has emerged as a means for improving the performance, area and power-/energy-efficiency of a digital design at the cost of output quality degradation. Applications like machine learning (e.g., using DNNs... 展开
作者 | Muhammad Abdullah Hanif Faiq Khalid Muhammad Shafique | ||
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作者单位 | |||
文集名称 | 2019 56th ACM/IEEE Design Automation Conference | ||
出版年 | 2019 | ||
会议名称 | ACM/IEEE Design Automation Conference | ||
页码 | 1-6 | 开始页/总页数 | 1 / 6 |
会议地点 | Las Vegas(US) | 会议年/会议届次 | 2019 / 56th |
关键词 | Hardware Buildings Biological neural networks Approximate computing Computer architecture Approximation error | ||
馆藏号 | IEL27261 (8806766) |