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To be the global champion in a row! The team of Huazhong University of Science and Technology made another success in the 2022 Chart Computing Challenge

2025-03-28 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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Thanks to CTOnews.com netizens such as stars and moon for your clues delivery! CTOnews.com8 19 news, learned from Huazhong University of Science and Technology, 2022 graphic Computing Challenge Graph Challenge has now announced the results of the competition, the School of computer Services Computing Technology and Systems Ministry of Education key Laboratory graphic Computing team won the two global championships, the team won China's first graphical Computing Challenge Graph Challenge championship in 2021.

Graph Challenge has been successfully held for six years and is one of the most influential international competitions in the field of graphics computing. The Graph Challenge race, which includes three tracks: static graph matching, dynamic graph partition and sparse neural network reasoning, has attracted many well-known companies and colleges from all over the world, including Nvidia, Cyrus, Huawei, Lawrence Livermore National Laboratory, Carnegie Mellon University, Washington State University and so on.

In 2021, the graph computing team of Huazhong University of Science and Technology achieved a "zero breakthrough" for China when the champion was monopolized by well-known American universities and enterprises. This year, the graphics computing team of Huazhong University of Science and Technology made another success, winning two consecutive entries and winning the global championship.

According to Huazhong University of Science and Technology, the two winning entries were completed by Sun Yufei, a senior undergraduate, and Wang Qinggang, a doctoral student, and Wu Minkang, a doctoral student. The instructors are Associate Professor Zheng long, Professor Shao Zhiyuan, Professor Liao Xiaofei and Professor Jin Hai. Through the joint efforts of team members, compared with the same track champion last year, the two entries won the global championship with a performance improvement of 8.12 times and 6.37 times respectively.

Zheng long, an associate professor, said that the Chinese University of Science and Technology Tu computing team won the championship for the first time in 2021, breaking the monopoly of well-known US scientific research institutions led by Nvidia and Lawrence Livermore National Laboratory. This year, the team won the championship again and again, which is also of great significance. The team will continue to work hard in the field of graphic computing and maintain the advantage of the Chinese team in this field with more excellent results.

CTOnews.com learned that in addition to the championship won by Huazhong University of Science and Technology, the people's Liberation Army University of Defense Science and Technology and Huawei Technology Co., Ltd. also won the Graph Challenge 2022 Innovation Award.

According to the computer School of Huazhong University of Science and Technology, the team said that Graph is a flexible data structure made up of vertices and edges, which can naturally model things and their relationships in the real world, so graphs are needed in many real-life application scenarios, such as financial transaction maps, national grid maps, virus transmission maps, traffic road maps and so on.

In order to mine useful information from huge graph data, graph computing technology arises at the historic moment, and is widely used in many fields, such as financial fraud detection, power grid fault troubleshooting, virus transmission tracking, travel road planning, military intelligence analysis and so on. At present, graphic computing has become a new outlet for competition among domestic and foreign science and technology giants. However, the sparsity and irregularity of realistic maps make it more and more difficult to process and analyze efficient large-scale graph data. To this end, IEEE, MIT and Amazon jointly launched the Graph Challenge International Competition in 2017, which aims to call on researchers around the world to develop new solutions to improve the efficiency of processing maps and sparse data from real life.

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