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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Meng-Fan Chang Ku-Feng Lin Ching-Hao Chuang Li-Yue Huang Tun-Fei Chien Shyh-Shyuan Sheu Keng-Li Su Heng-Yuan Lee Chen, F.T. Chen-Hsin Lien Ping-Cheng Chen Lih-Yih Chiou Tzu-Kun Ku Ming-Jinn Tsai Ming-Jer Kao |
| Copyright Year | 2012 |
| Description | Author affiliation: EOL, ITRI, Hsinchu, Taiwan (Shyh-Shyuan Sheu; Keng-Li Su; Heng-Yuan Lee; Chen, F.T.; Tzu-Kun Ku; Ming-Jinn Tsai; Ming-Jer Kao) || I-Shou University, Kaohsiung, Taiwan (Ping-Cheng Chen) || Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan (Meng-Fan Chang; Ku-Feng Lin; Ching-Hao Chuang; Li-Yue Huang; Tun-Fei Chien; Chen-Hsin Lien) || Department of Electrical Engineering, National Cheng-Kung University, Tainan, Taiwan (Lih-Yih Chiou) |
| Abstract | Nonvolatile memory has become a bottleneck in attempts to reduce the energy consumption of electronic systems. Several emerging forms of nonvolatile memory have shown promise in overcoming these difficulties, achieving faster write speeds and lower power operations than those afforded by Flash memories. Unfortunately, constraints related to bitline bias-voltage, small read cell current, and process variation detract considerably from the efficiency of read operations. This paper provides a review of the challenges and trends associated with the read sensing circuitry used in emerging nonvolatile memories. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 1417281 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467324748 |
| e-ISBN | 9781467324755 |
| DOI | 10.1109/ICSICT.2012.6467794 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensors Nonvolatile memory Power demand Random access memory Switches Very large scale integration Market research |
| Content Type | Text |
| Resource Type | Article |
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