Aayush Ankit

1. PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference
   2019/01/29 by Aayush Ankit, Ankit, Aayush, Izzat El Hajj +19 · 7 citations
   Engineering · Materials Science · #Advanced Memory and Neural Computing #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Hardware Architecture (cs.AR) #Machine Learning in Materials Science
2. PANTHER: A Programmable Architecture for Neural Network Training\n Harnessing Energy-efficient ReRAM
   2019/12/24 by Aayush Ankit, Ankit, Aayush, Izzat El Hajj +17 · 4 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Distributed #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #FOS: Electrical engineering #Ferroelectric and Negative Capacitance Devices #Hardware Architecture (cs.AR) #Parallel #Signal Processing (eess.SP) #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC) #electronic engineering #information engineering
3. GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive\n Xbars using Neural Networks
   2020/03/15 by Indranil Chakraborty, Mustafa Ali, Chakraborty, Indranil +7 · 1 citation
   Engineering · Materials Science · #Advanced Memory and Neural Computing #Conducting polymers and applications #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices