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Farhana Parveen
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2010 – 2019
- 2018
- [j1]Farhana Parveen
, Shaahin Angizi, Deliang Fan:
IMFlexCom: Energy Efficient In-Memory Flexible Computing Using Dual-Mode SOT-MRAM. ACM J. Emerg. Technol. Comput. Syst. 14(3): 35:1-35:18 (2018) - [c8]Shaahin Angizi
, Zhezhi He, Farhana Parveen
, Deliang Fan:
IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network. ASP-DAC 2018: 111-116 - [c7]Farhana Parveen
, Zhezhi He, Shaahin Angizi
, Deliang Fan:
HielM: Highly flexible in-memory computing using STT MRAM. ASP-DAC 2018: 361-366 - 2017
- [c6]Zhezhi He, Shaahin Angizi
, Farhana Parveen
, Deliang Fan:
Leveraging Dual-Mode Magnetic Crossbar for Ultra-low Energy In-memory Data Encryption. ACM Great Lakes Symposium on VLSI 2017: 83-88 - [c5]Farhana Parveen
, Shaahin Angizi
, Zhezhi He, Deliang Fan:
Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device. ISCAS 2017: 1-4 - [c4]Farhana Parveen
, Shaahin Angizi
, Zhezhi He, Deliang Fan:
Low power in-memory computing based on dual-mode SOT-MRAM. ISLPED 2017: 1-6 - [c3]Shaahin Angizi
, Zhezhi He, Farhana Parveen
, Deliang Fan:
RIMPA: A New Reconfigurable Dual-Mode In-Memory Processing Architecture with Spin Hall Effect-Driven Domain Wall Motion Device. ISVLSI 2017: 45-50 - [c2]Farhana Parveen
, Zhezhi He, Shaahin Angizi
, Deliang Fan:
Hybrid Polymorphic Logic Gate with 5-Terminal Magnetic Domain Wall Motion Device. ISVLSI 2017: 152-157 - [c1]Zhezhi He, Shaahin Angizi
, Farhana Parveen
, Deliang Fan:
High performance and energy-efficient in-memory computing architecture based on SOT-MRAM. NANOARCH 2017: 97-102
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