- Are SNNs Truly Energy-efficient? - A Hardware Perspective
2023/09/06 by Abhiroop Bhattacharjee, Bhattacharjee, Abhiroop, Ruokai Yin +5 · 2 citations
Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial intelligence #Artificial neural network #Benchmark (surveying) #Benchmarking #Computer architecture #Computer engineering #Computer hardware #Computer science #Crossbar switch #Efficient energy use #Energy (signal processing) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Field-programmable gate array #Hardware acceleration #Inference #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Operating system #Overhead (engineering) #Parallel computing #Spiking neural network
- DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware
2021/08/04 by Shihao Song, Song, Shihao, Harry Lye Hin Chong +9 · 3 citations
Engineering · Neuroscience · #Advanced Memory and Neural Computing #Algorithm #Artificial intelligence #Artificial neural network #Computation #Computer architecture #Computer hardware #Computer science #Crossbar switch #Dataflow #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Hardware Architecture (cs.AR) #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neuromorphic engineering #Parallel computing #Spiking neural network
- Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks
2019/10/01 by Haoqiang Guo, Lu Peng, Jian Zhang +2 · 1 voice
Computer Science · Engineering · #Advanced Memory and Neural Computing #Adversarial Robustness in Machine Learning #Adversarial system #Artificial intelligence #Artificial neural network #Computer engineering #Computer science #Crossbar switch #Deep learning #Deep neural networks #Implementation #MNIST database #Machine learning #Physical Unclonable Functions (PUFs) and Hardware Security #Robustness (evolution) #Throughput #Wireless
- Compressed Sensing With Approximate Message Passing Using In-Memory Computing
2018/08/29 by Manuel Le Gallo, Abu Sebastian, Giovanni Cherubini +2 · 13 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Algorithm #Compressed sensing #Computational complexity theory #Computational science #Computer science #Crossbar switch #Electrical engineering #Engineering #In-Memory Processing #Matrix (chemical analysis) #Message passing #Neural Networks and Reservoir Computing #Parallel computing #Resistive random-access memory #Resistive touchscreen #Robustness (evolution) #Search engine #Sparse and Compressive Sensing Techniques #Sparse matrix #Voltage #Von Neumann architecture
- Neuro-Inspired Computing With Emerging Nonvolatile Memorys
2018/01/23 by Shimeng Yu · 54 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial intelligence #Artificial neural network #Computer architecture #Computer engineering #Computer hardware #Computer science #Crossbar switch #Electrical engineering #Embedded system #Engineering #Ferroelectric and Negative Capacitance Devices #In-Memory Processing #Neural Networks and Reservoir Computing #Neuromorphic engineering #Non-volatile memory #Resistive random-access memory #Search engine #Telecommunications #Von Neumann architecture
- Crossbar RRAM Arrays: Selector Device Requirements During Write Operation
2014/06/19 by Sungho Kim, Jiantao Zhou, Wei Lü +1 · 14 citations
Engineering · Materials Science · #Advanced Memory and Neural Computing #Computer hardware #Computer science #Crossbar switch #Electrical engineering #Electronic and Structural Properties of Oxides #Electronic engineering #Engineering #Ferroelectric and Negative Capacitance Devices #Node (physics) #Physics #Power (physics) #Reset (finance) #Resistive random-access memory #Set (abstract data type) #Telecommunications #Voltage