Conference of 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 ; Conference Date: 1 June 2014 Through 5 June 2014; Conference Code:107394International audienceSpin-transfer torque magnetic memory (STT-MRAM) is currently under intense academic and industrial development, since it features nonvolatility, high write and read speed and high endurance. In this work, we show that when used in an original regime, it can additionally act as a stochastic memristive device, appropriate to implement a 'synaptic' function. We introduce basic concepts relating to STT-MRAM cell behavior and its possible use to implement learning-capable synapses. System-level simulations on a problem of car counting highlight the potential of the tec...
International audienceNovel computing architectures based on resistive switching memories (also know...
Abstract Neuromorphic computing using spintronic devices, such as spin-torque oscillators (STOs), ha...
Memristive devices represent a promising technology for building neuromorphic electronic systems. In...
Conference of 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 ; Conference Dat...
International audienceSpin-transfer torque magnetic memory (STT-MRAM) is currently under intense aca...
AbstractWith the ubiquitous diffusion of mobile computing and Internet of Things (IoT), the amount o...
International audienceThe high density of on-chip nonvolatile memory provided by memristive elements...
International audience—Cognitive tasks are essential for the modern applications of electronics, and...
Modern computers suffer from a limited data transfer rate between the memory and the processing unit...
Computer memories now play a key role in our everyday life given the increase in the number of conne...
International audience—Processing the current deluge of data using conventional CMOS architectures r...
Hardware implementation of neuromorphic computing is attractive as a computing paradigm beyond the c...
Abstract Biological neural networks outperform current computer technology in terms of power consump...
Memristive devices have emerged as compact nonvolatile memory elements which can be used as synapses...
This thesis presents the modeling and design of memory cells for Spin Torque Transfer Magnetoresisti...
International audienceNovel computing architectures based on resistive switching memories (also know...
Abstract Neuromorphic computing using spintronic devices, such as spin-torque oscillators (STOs), ha...
Memristive devices represent a promising technology for building neuromorphic electronic systems. In...
Conference of 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 ; Conference Dat...
International audienceSpin-transfer torque magnetic memory (STT-MRAM) is currently under intense aca...
AbstractWith the ubiquitous diffusion of mobile computing and Internet of Things (IoT), the amount o...
International audienceThe high density of on-chip nonvolatile memory provided by memristive elements...
International audience—Cognitive tasks are essential for the modern applications of electronics, and...
Modern computers suffer from a limited data transfer rate between the memory and the processing unit...
Computer memories now play a key role in our everyday life given the increase in the number of conne...
International audience—Processing the current deluge of data using conventional CMOS architectures r...
Hardware implementation of neuromorphic computing is attractive as a computing paradigm beyond the c...
Abstract Biological neural networks outperform current computer technology in terms of power consump...
Memristive devices have emerged as compact nonvolatile memory elements which can be used as synapses...
This thesis presents the modeling and design of memory cells for Spin Torque Transfer Magnetoresisti...
International audienceNovel computing architectures based on resistive switching memories (also know...
Abstract Neuromorphic computing using spintronic devices, such as spin-torque oscillators (STOs), ha...
Memristive devices represent a promising technology for building neuromorphic electronic systems. In...