Abstract The United States Navy intends to increase the amount of uncrewed aircraft in a
carrier air wing. To support this increase, carrier based uncrewed aircraft will be required to …

The ever-increasing complexity of both Deep Neural Networks (DNN) and hardware
accelerators has made the co-optimization of these domains extremely complex. Previous …

Аннотация Возрастающая вычислительная сложность искусственных нейронных
сетей поднимает важные вопросы производительности, гибкости и …

This paper considers the application of piecewise linear approximation in hardware
accelerators of neural networks built according to the concept of reconfigurable computing …

Simultaneously localization and mapping (SLAM) is a core component in many embedded
domains, eg, robots, augmented and virtual reality. Due to SLAM's high demand on …

Data centers have a variety of metrics that they must adhere to. Not only do they have to
meet the rate of incoming requests, but each request also has a service level objective …

With the rising success of deep neural network (DNN) applications, GPU servers are
increasingly utilized to provide DNN inference services. Batching, in which multiple …

The United State Navy has a vested interest in developing methods for the certification of
autonomous aerial refueling by uncrewed aircraft. For leadership to accept the risk of …

Due to limited resources on edge and different characteristics of deep neural network (DNN)
models, it is a big challenge to optimize DNN inference performance in terms of energy …

Рассматривается вариант реализации сигмоидной функции активации для
ускорителей нейронных сетей, целиком реализованных на перестраиваемых …