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A neuromorphic processor with on-chip learning for beyond-CMOS device integration. [PDF]
Greatorex H +12 more
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Integrated Design of Electrically Configurable Ferroelectric and Redox-Based Memristors for Hardware-Implemented Reservoir Computing. [PDF]
Lee JK +5 more
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Journal of Supercomputing, 2018
The high density, low power consumption non-volatile memory (NVM) provides a promising DRAM alternative for the in-memory big-data processing applications, e.g., Spark, It is significant to simulate the behaviors when NVMs are deployed into the area of big-data processing before their widespread use in market.
Fang Lu, Chenxi Wang, Xiao-Bing Feng
exaly +3 more sources
The high density, low power consumption non-volatile memory (NVM) provides a promising DRAM alternative for the in-memory big-data processing applications, e.g., Spark, It is significant to simulate the behaviors when NVMs are deployed into the area of big-data processing before their widespread use in market.
Fang Lu, Chenxi Wang, Xiao-Bing Feng
exaly +3 more sources
A review of emerging non-volatile memory (NVM) technologies and applications
Solid-State Electronics, 2016Abstract This paper will review emerging non-volatile memory (NVM) technologies, with the focus on phase change memory (PCM), spin-transfer-torque random-access-memory (STTRAM), resistive random-access-memory (RRAM), and ferroelectric field-effect-transistor (FeFET) memory.
exaly +2 more sources
Non-Volatile memory (NVM) technologies
Journal of Systems Architecture, 2016Yuan-Hao Chang, Zili Shao
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RC-NVM: Recovery-Aware Reliability-Security Co-Design for Non-Volatile Memories
IEEE Transactions on Dependable and Secure ComputingDavid Mohaisen +2 more
exaly +3 more sources

