Exascale computing and big data
By Daniel A. Reed, Jack J. Dongarra. Communications of the ACM, 2015
430 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/d094f0faff376af9a0ee79a742b350531b3c89bf
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Information Systems
In Information Systems and Management
Citations in the corpus
- Big Data sources and methods for social and economic analyses (2017, neutral): “Therefore, we are living the constant births of new technologies conceived to be useful in this context such as, to mention some, cloud and exascale computing (Bahrami and Singhal, 2014; Reed and Dongarra, 2015).”
- Simulator-free solution of high-dimensional stochastic elliptic partial differential equations using deep neural networks (2019, background): “Introduction With the rapid increase in computing resources [1], numerical methods for the solution of partial differential equations (PDEs) that govern physical systems have become an integral part of modern computational science [2].”
- The Deluge of Spurious Correlations in Big Data (2016, positive): “25 Despite the looming threat of spurious correlations, there are many examples of successful use of data analytics in robust scientific studies (see Rajaraman and Ullman 2011; Stanton 2012; Schutt and O’Neil 2014; Reed and Dongarra 2015).”
- Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, neutral): “[458] D.”