publié le: 2020
D Network-on-Chip (3D NoC) enables design of high-performance and energy-efficient manycore comput- ing platforms. Two of the commonly used vertical i...
Various applications, such as multimedia, machine learning, and signal processing, have a significant intrinsic error resilience. This makes them pref...
Recurrent Neural Networks (RNNs) are an important class of neural networks designed to retain and incorporate context into current decisions. RNNs are...
Networks of low-power Internet of Things do not have always access to enough computing power to support mainstream cryptographic schemes; such schemes...
Neuromorphic computing based on spiking neural network (SNN) shows good energy-efficiency. However, it is inefficient for SNN to perform the convoluti...
