Design space exploration of magnetic tunnel junction based stochastic computing in deep learning | |
Wang, Y.; Zhang, Y.; Zhao, W.; Cai, H.; Naviner, L. | |
2018 | |
会议名称 | Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI |
关键词 | Character recognition Deep neural networks Design Energy utilization Green computing Magnetism Number theory Random number generation Stochastic systems Tunnel junctions VLSI circuits Design space exploration Fine-grained parallelism Handwritten digits recognition High power efficiencies Low energy consumption Magnetic tunnel junction Stochastic computing True randoms Magnetic devices |
卷号 | Part F137141 |
页码 | 403-408 |
URL标识 | 查看原文 |
内容类型 | 会议论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5931658 |
专题 | 北京航空航天大学 |
推荐引用方式 GB/T 7714 | Wang, Y.,Zhang, Y.,Zhao, W.,et al. Design space exploration of magnetic tunnel junction based stochastic computing in deep learning[C]. 见:Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI. |
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