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| Title |
24.1 A 1Mb Multibit ReRAM Computing-In-Memory Macro with 14.6ns Parallel MAC Computing Time for CNN Based AI Edge Processors
|
|---|---|
| Published by |
Institute of Electrical and Electronics Engineers (IEEE), February 2019
|
| DOI | 10.1109/isscc.2019.8662395 |
| Authors |
Cheng-Xin Xue, Wei-Hao Chen, Je-Syu Liu, Jia-Fang Li, Wei-Yu Lin, Wei-En Lin, Jing-Hong Wang, Wei-Chen Wei, Ting-Wei Chang, Tung-Cheng Chang, Tsung-Yuan Huang, Hui-Yao Kao, Shih-Ying Wei, Yen-Cheng Chiu, Chun-Ying Lee, Chung-Chuan Lo, Ya-Chin King, Chorng-Jung Lin, Ren-Shuo Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Meng-Fan Chang |
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Mendeley demographics
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 149 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 20% |
| Student > Master | 23 | 15% |
| Researcher | 12 | 8% |
| Student > Bachelor | 11 | 7% |
| Student > Doctoral Student | 7 | 5% |
| Other | 13 | 9% |
| Unknown | 53 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 71 | 48% |
| Computer Science | 14 | 9% |
| Physics and Astronomy | 3 | 2% |
| Economics, Econometrics and Finance | 2 | 1% |
| Materials Science | 2 | 1% |
| Other | 2 | 1% |
| Unknown | 55 | 37% |