Fu Haohuan, Winner of ACM Gordon Bell Prize, gives lecture at SUSTech on “Sunway TaihuLight” Supercomputer
| 12/28/2017
On December 26th, 2017, Fu Haohuan, winner of the ACM Gordon Bell Prize, the highest award in the field of international high-performance computing applications, visited SUSTech to give the 144th SUSTech Lecture Series. He gave a in-depth talk entitled “Sunway TaihuLight: System and Applications” to an audience composed of professors and students at the 111 Lecture Hall of the Library. The lecture was presided over by Academician Chen Xiaofei, chair of SUSTech’s Department of Earth and Space Sciences.

Fu Haohuan is an Associate Professor at Tsinghua University’s Department of Earth System Science and the Deputy Director of the National Supercomputing Center in Wuxi. He has been devoting his time in the cross-over study of high-performance computing and geoscience for years, and has published nearly a hundred papers in the fields of high-performance computing and geoscience. Fu Haohuan won the Gordon Bell Prize, the highest award in the field of international high-performance computing applications for two consecutive years.

“Sunway TaihuLight” is the world’s first supercomputer which offers a peak computing power exceeding 100PFlops, and is officially confirmed as the world’s fastest supercomputer. Fu Haohuan introduced the structure of domestic many-core chips, high-density integration mode of nodes and the overall characteristics of the hardware system; he also elaborated the programming challenge brought by ten-million core scale and domestic many-core architecture, as well as the application software achievements and performance modeling method based on Sunway system.

Fu Haohuan believed that the ultimate goal of supercomputers is to help answer top scientific and engineering problems. He used the “Nonlinear Earthquake Simulation” study which he worked on with the team of Academician Chen Xiaofei from SUSTech as an example to elaborate the crucial role of “Sunway TaihuLight” in the research of earth system sciences, life sciences, computational fluid mechanics and exploration geophysics, and showed the enormous potential of using the fastest supercomputer to solve the most cutting-edge scientific and engineering problems.

2017, 12-28
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