Early-stage neural network hardware performance analysis

A Karbachevsky, C Baskin, E Zheltonozhskii… - Sustainability, 2021 - mdpi.com
The demand for running NNs in embedded environments has increased significantly in
recent years due to the significant success of convolutional neural network (CNN) …

Evaluating system architectures for driving range estimation and charge planning for electric vehicles

AT Thorgeirsson, M Vaillant… - Software: Practice …, 2021 - Wiley Online Library
Due to sparse charging infrastructure and short driving ranges, drivers of battery electric
vehicles (BEVs) can experience range anxiety, which is the fear of stranding with an empty …

Scalability and performance analysis of BDPS in clouds

Y Li, D Ou, X Zhou, C Jiang, C Cérin - Computing, 2022 - Springer
The increasing demand for big data processing leads to commercial off-the-shelf (COTS)
and cloud-based big data analytics services. Giant cloud service vendors provide …

Hcm: Hardware-aware complexity metric for neural network architectures

A Karbachevsky, C Baskin, E Zheltonozhskii… - arXiv preprint arXiv …, 2020 - arxiv.org
Convolutional Neural Networks (CNNs) have become common in many fields including
computer vision, speech recognition, and natural language processing. Although CNN …

[引用][C] Енергоефективне обслуговування навантаження інформаційно-комунікаційної мережі

НА Прокопець - 2022 - КПІ ім. Ігоря Сікорського