Preface to the Special Issue on Reconfigurable Computing for Energy Efficient AI Microchip Technologies

被引：0

作者：

Haigang Yang ^{[1
]}

Yajun Ha ^{[2
]}

Lingli Wang ^{[3
]}

Wei Zhang ^{[4
]}

Yingyan Lin ^{[5
]}

机构：

[1] Institute of Electronics, Chinese Academy of Sciences

[2] Shanghai Tech University

[3] Fudan University

[4] Hong Kong University of Science and Technology

[5] Rice University

来源：

Journal of Semiconductors | 2020年 / 02期

关键词：

Preface to the Special Issue on Reconfigurable Computing for Energy Efficient AI Microchip Technologies; Microchip; AI;

D O I：

暂无

中图分类号：

TP18 [人工智能理论]; TN40 [一般性问题];

学科分类号：

080903 ; 081104 ; 0812 ; 0835 ; 1401 ; 1405 ;

摘要：

Many artificial intelligence (AI) processing tasks, especially those related to deep neural networks (DNNs), are both computation and memory intensive. Yet the traditional computing platforms such as CPU are increasingly facing difficulties in dealing with those massive processing workloads. Reconfigurable computing (RC)features the ability to perform computations in hardware to increase execution capabilities, and at the same time retain much of the flexibility of a software solution.

引用

页码：95 / 95

页数：1

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