Farhana Parveen

According to our database, Farhana Parveen authored at least 9 papers between 2017 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

IMFlexCom: Energy Efficient In-Memory Flexible Computing Using Dual-Mode SOT-MRAM.

Farhana Parveen, Shaahin Angizi, Deliang Fan

ACM J. Emerg. Technol. Comput. Syst., 2018

HielM: Highly flexible in-memory computing using STT MRAM.

Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network.

Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017

High performance and energy-efficient in-memory computing architecture based on SOT-MRAM.

Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2017

Hybrid Polymorphic Logic Gate with 5-Terminal Magnetic Domain Wall Motion Device.

Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan

Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

RIMPA: A New Reconfigurable Dual-Mode In-Memory Processing Architecture with Spin Hall Effect-Driven Domain Wall Motion Device.

Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan

Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

Low power in-memory computing based on dual-mode SOT-MRAM.

Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan

Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device.

Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Leveraging Dual-Mode Magnetic Crossbar for Ultra-low Energy In-memory Data Encryption.

Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan

Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017