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Applications and Current Challenges of Supercomputing across Multiple Domains of Computational Sciences

Applications and Current Challenges of Supercomputing across Multiple Domains of Computational Sciences
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Author(s): Neha Gupta (Northeastern University, USA & Osmania University, India)
Copyright: 2015
Pages: 26
Source title: Research and Applications in Global Supercomputing
Source Author(s)/Editor(s): Richard S. Segall (Arkansas State University, USA), Jeffrey S. Cook (Independent Researcher, USA) and Qingyu Zhang (Shenzhen University, China)
DOI: 10.4018/978-1-4666-7461-5.ch003

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Abstract

Supercomputing is a contemporary solution to enhance the speed of calculations in nanoseconds. Presently, there are different aspects of supercomputing like Cloud Computing, High Performance Computing, Grid Computing, etc. provided by companies like Amazon (Amazon Web Services), Windows (Azure), Google (Google Cloud Platform). Supercomputers play an important role in the field of Computer Science and are used for a wide range of computationally intensive tasks across domains like Bioinformatics, Computational Earth and Atmospheric Sciences, Computational Materials Sciences and Engineering, Computational Chemistry, Computational Fluid Dynamics, Computational Physics, Computational and Data Enabled Social Sciences, Aerospace, Manufacturing, Industrial Applications, Computational Medicine, and Biomedical Engineering. However, there are a lot of issues that need to be solved to develop next generation supercomputers. In this chapter, the potential applications and current challenges of supercomputing across these domains are explained in detail. The current status of supercomputing and limitations are discussed, which forms the basis for future work in these areas. The future ideas that can be applied efficiently with the availability of good computing resources are explained coherently in this chapter.

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