Author(s)

Marilyne Apkarian

Affiliation(s)

School of Mathematical and Statistical Sciences, Arizona State University, Tempe, Arizona, United States of America.

Corresponding Author

Marilyne Apkarian

ABSTRACT

With the advent of the era of scientific computing, the generation of massive scientific data brings rich basic scientific and technological resources, also brings huge benefits to computing and transmission pressure, requiring a lot of resources to process, there is an urgent need for computing network integration technology to organically combine computing power with the network. The computing power network is connected and decentralized, fragmented calculation human resources, build an integrated ICT infrastructure, providing services such as computing power and network capabilities. The article studies computing power network technology for scientific computing. Build the overall architecture of the computing power network, using technologies such as resource measurement, resource scheduling and computing power routing, deploy computing power network prototype system, providing high-performance scientific Learn numeracy, complete complex simulations and scientific calculations. in high energy physics Conduct test demonstrations for typical applications in the fields of astronomy and astronomy, which can significantly improve the network transmission efficiency and big data processing capabilities of scientific big data, improve scientific research information service capabilities and levels, accelerating the output of major innovation results. 

KEYWORDS

Computing power network; Scientific computing; Computing requirements

CITE THIS PAPER

Marilyne Apkarian. Prospects for the development of computing power network technology for scientific computing. World Journal of Mathematics and Physics. 2023, 1(2): 1-7. DOI:10.61784/wjmp231276.

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