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China’s Tianhe supercomputer tops Small Data Green Graph 500 ranking

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China’s Tianhe supercomputer tops Small Data Green Graph 500 ranking

China’s new generation Tianhe supercomputer has won first place in the latest Small Data Green Graph 500 ranking, according to the Changsha national supercomputer center in central China’s Hunan Province.

Graph 500, first released in 2010, is the most authoritative international list evaluating supercomputer graph computation performance.

It uses an MTEPS/W (million traversed edges per second per watt) performance metric to rank the performance and energy efficiency of supercomputers worldwide in running large graphs.

The new generation Tianhe supercomputer led the small data category of the Green Graph 500 ranking at 22,301.67 MTEPS/W. Small data and big data are categorized based on the scale of data, with small data primarily used for graph computing.

The Tianhe supercomputer’s latest achievement not only demonstrates its high performance level and energy efficiency, but also confirms that the Tiantu software system, designed by China’s domestic supercomputing research and development team, can maximize the potential of supercomputers in graph processing. ■

This undated image provided by the interviewee shows a certificate confirming that China’s new generation Tianhe supercomputer has won first place in the latest Small Data Green Graph 500 ranking. (Xinhua)

This image provided by the interviewee shows China’s new generation Tianhe supercomputer winning first place in the latest Small Data Green Graph 500 ranking with a list of detailed evaluation metrics. (Xinhua)

Reference Link:- https://english.news.cn/20241125/b142dad4750244a1b6cd122e82ce0ce5/c.html

Prof. Engr. Zamir Ahmed Awan
Prof. Engr. Zamir Ahmed Awan 全球丝绸之路研究联盟创始人兼主席

Zamir Ahmed Awan is the founder and Chair of the Global Silk Route Research Alliance, a think tank in Islamabad. He studied engineering at Shanghai University in the 1980s, and years later he went back to China as Pakistan's science counsellor in Beijing, from 2010 until 2016, working on science and higher education cooperation between the two countries.…

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