This paper proposes an acceleration technique to minimise the unnecessary operations on
a state-of-the-art machine learning model and thus to improve the processing speed while …

Convolutional Neural Networks (CNN) are widely used for image classification and have
achieved significantly accurate performance in the last decade. However, they require …

This paper proposed a Reconfigurable Neural Accelerator (RNA) for multiple CNNs
acceleration. A novel tile-by-tile computing (TTC) model is designed for RNA to fully reuse …

针对商用中央处理单元(central processing unit, CPU) 的专用许可证授权费用高和卷积神经
网络性能待提升等问题, 设计了一种基于多视图并行且具有可配置性的卷积神经网络加速器 …

Efficient machine learning techniques that need substantial equipment and power usage in
its computation phase are computational models. Stochastic computation has indeed been …

The progress of deep learning has rapidly accelerated development at an exponential rate
of existing technologies. Deep convolutionary algorithms have received much popularity …