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Article citations


Reshmi, B., & Poongodi, P. (2018). Profit and Resource Availability-Constrained Optimal Handling of High-Performance Scientific Computing Tasks. Journal of Supercomputing, 3, 1-15.

has been cited by the following article:

  • TITLE: Development of Operational Technology for Meteorological High Performance Computing

    AUTHORS: Jing Sun, Bin Wang

    KEYWORDS: High Performance Computing, Supercomputer, Parallel Computing, Acceleration Component, Meteorology, Numerical Prediction System

    JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.7 No.8, August 26, 2019

    ABSTRACT: As an important branch of information technology, high-performance computing has expanded its application field and its influence has been expanding. High-performance computing is always a key area of application in meteorology. We used field research and literature review methods to study the application of high performance computing in China’s meteorological department, and obtained the following results: 1) China Meteorological Department gradually established the first high-performance computer system since 1978. High-performance computing services can support operational numerical weather prediction models. 2) The Chinese meteorological department has always used the relatively advanced high-performance computing technology, and the business system capability has been continuously improved. The computing power has become an important symbol of the level of meteorological modernization. 3) High-performance computing technology and meteorological numerical forecasting applications are increasingly integrated, and continue to innovate and develop. 4) In the future, high-performance computing resource management will gradually transit from the current local pre-allocation mode to the local remote unified scheduling and shared use. In summary, we have come to the conclusion that the performance calculation business of the meteorological department will usher in a better tomorrow.