Highlights•We estimate the total energy consumption of the bitcoin network to be in the order
of 100 MW (which has been subject of debate).•We describe factors and developments that …

An indispensable part of our personal and working lives, computing has also become
essential to industries and governments. Steady improvements in computer hardware have …

Performance of in-memory key-value store (KVS) continues to be of great importance as
modern KVS goes beyond the traditional object-caching workload and becomes a key …

Since sequential information plays an important role in modeling user behaviors, various
sequential recommendation methods have been proposed. Methods based on Markov …

Neural networks are an increasingly attractive algorithm for natural language processing
and pattern recognition. Deep networks with> 50 M parameters are made possible by …

During the last decade, there has been a great deal of interest in TFETs. To the best authors'
knowledge, no book on TFETs currently exists. The proposed book provides readers with …

Abstract Deep Neural Networks (DNNs) are compute-intensive learning models with
growing applicability in a wide range of domains. Due to their computational complexity …

Recent years have witnessed phenomenal growth in the computational capabilities and
applications of GPUs. However, this trend has also led to a dramatic increase in their power …

In the era of big data, we are facing with an immense volume and high velocity of data with
complex structures. Data can be produced by online and offline transactions, social …

A key challenge in next-generation supercomputing is to effectively schedule limited power
resources. Modern processors suffer from increasingly large power variations due to the …