Distributed In-Memory Computing on Binary RRAM Crossbar
The recently emerging resistive random-access memory (RRAM) can provide nonvolatile memory storage but also intrinsic computing for matrix-vector multiplication, which is ideal for the low-power and high-throughput data analytics accelerator performed in memory. However, the existing RRAM crossbar--...
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Main Authors: | Ni, Leibin, Huang, Hantao, Liu, Zichuan, Joshi, Rajiv V., Yu, Hao |
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其他作者: | School of Electrical and Electronic Engineering |
格式: | Article |
語言: | English |
出版: |
2017
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/85628 http://hdl.handle.net/10220/43796 |
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機構: | Nanyang Technological University |
語言: | English |
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