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Peiyan Yuan, Ming Li, Shuhong Li, Chunhong Liu and Xiaoyan Zhao
Edge networks employ local computing and caching resources to process data, thus alleviating the bandwidth pressure on backbone networks and improve users? quality of experience. System capacity is one of the key metrics to evaluate the performance of ed...
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Jiangyu Yan and Bing Qi
Congestion control is one of the key research topics in relation to the routing algorithms of wireless sensor networks (WSNs). In this paper, we propose a congestion-aware routing algorithm (CARA) for unlimited-lifetime wireless sensor networks by integr...
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Mohammad Nasim Imtiaz Khan, Shivam Bhasin, Bo Liu, Alex Yuan, Anupam Chattopadhyay and Swaroop Ghosh
Emerging Non-Volatile Memories (NVMs) such as Magnetic RAM (MRAM), Spin-Transfer Torque RAM (STTRAM), Phase Change Memory (PCM) and Resistive RAM (RRAM) are very promising due to their low (static) power operation, high scalability and high performance. ...
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Kunal Banerjee,Evangelos Georganas,Dhiraj D. Kalamkar,Barukh Ziv,Eden Segal,Cristina Anderson,Alexander Heinecke
Pág. 64 - 85
Recurrent neural network (RNN) models have been found to be well suited for processing temporal data. In this work, we present an optimized implementation of vanilla RNN cell and its two popular variants: LSTM and GRU for Intel Xeon architecture. Typical...
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Hikaru Takayashiki,Masayuki Sato,Kazuhiko Komatsu,Hiroaki Kobayashi
Pág. 86 - 101
As the number of cores and the memory bandwidth have increased in a balanced fashion, modern vector processors achieve high sustained performances, especially in memory-intensive applications in the fields of science and engineering. However, it is diffi...
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