Irem Boybat Kara

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Related publications (25)

Non-volatile memory as hardware synapse in neuromorphic computing: A first look at reliability issues

Irem Boybat Kara, Carmelo Di Nolfo

A large-scale artificial neural network, a three-layer perceptron, is implemented using two phase-change memory (PCM) devices to encode the weight of each of 164,885 synapses. The PCM conductances are programmed using a crossbar-compatible pulse scheme, an ...

IEEE2015

Large-scale neural networks implemented with nonvolatile memory as the synaptic weight element: comparative performance analysis (accuracy, speed, and power)

Yusuf Leblebici, Severin Sidler, Irem Boybat Kara, Carmelo Di Nolfo

We review our work towards achieving competitive performance (classification accuracies) for on chip machine learning (ML) of large scale artificial neural networks (ANN) using Non-Volatile Memory (NVM) based synapses, despite the inherent random and deter ...

2015

PCM for Neuromorphic Applications: Impact of Device Characteristics on Neural Network Performance

Yusuf Leblebici, Severin Sidler, Irem Boybat Kara, Carmelo Di Nolfo

The impact of Phase Change Memory (PCM) as well as other Non-Volatile Memory (NVM) device characteristics on the quantitative classification performance of artificial neural networks is studied. Our results show that any NVM-based neural network — not just ...

2015

Hardware-Oriented Dynamically Adaptive Disparity Estimation Algorithm and its Real-Time Hardware

Alexandre Schmid, Yusuf Leblebici, Abdulkadir Akin, Ipek Baz, Irem Boybat Kara, Hüseyin Baris Atakan

A real-time stereo camera disparity estimation device comprises input means arranged to input measured data corresponding to rows of left and right images; a plurality of on-chip memories arranged to buffer the input measured data; a vertical rotator hardw ...

2015

A Hardware-Oriented Dynamically Adaptive Disparity Estimation Algorithm and its Real-Time Hardware

Alexandre Schmid, Yusuf Leblebici, Abdulkadir Akin, Ipek Baz, Irem Boybat Kara, Hüseyin Baris Atakan

The computational complexity of disparity estimation algorithms and the need of large size and bandwidth for the external and internal memory make the real-time processing of disparity estimation challenging, especially for High Resolution (HR) images. Thi ...

2013

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