The growing complexity of real-world systems necessitates interdisciplinary solutions to
confront myriad challenges in modeling, analysis, management, and control. To meet these …

The ability of parallel computing to process large data sets and handle time-consuming
operations has resulted in unprecedented advances in biological and scientific computing …

Scientific computing has often been called the third approach to scientific discovery,
emerging as a peer to experimentation and theory. Historically, the synergy between theory …

This paper provides a review of contemporary methodologies and APIs for parallel
programming, with representative technologies selected in terms of target system type …

Today, parallel computing experts can solve problems previously deemed impossible and
make the" merely difficult" problems economically feasible to solve. This book presents and …

Social computing, as the technical foundation of future computational smart societies, has
the potential to improve the effectiveness of open-source big data usage, systematically …

The recent debut and success of ChatGPT have brought up renewed debates and desires
for artificial general intelligence (AGI) amid fears and anxieties of potential disruptions to our …

The confluence of cloud computing, parallelism and advanced machine intelligence
approaches has created a world in which the optimum knowledge system will usually be …

Artificial intelligence (AI) is transforming research through analysis of massive datasets and
accelerating simulations by factors of up to a billion. Such acceleration eclipses the …

With the rapid growth of artificial intelligence (AI), the Internet of Things (IoT) and big data,
emerging applications that cross stacks with different techniques bring new challenges to …