Architectures, Algorithms, and Applications of Supercomputers: Challenges and Solutions
28 Nov 2013 - 28 Nov 2013

Date: 28 November 2013, Thursday
Time: 10AM - 12PM
Venue: Level 17, Charles Babbage Room, 1 Fusionopolis Way,Connexis South, Singapore 138632
Speaker: Yuefan Deng, Visiting Professor of A*CRC

Lecture

Supercomputers are capable of performing 10^16 floating-point operations per second (34 PFlops). The greatest challenges facing computer and computational scientists are to further increase the computer speeds and, more challengingly, to develop programming models to enable realization of the potentials of such massive systems.

We will discuss three related topics. First, we review the latest innovations in interconnection networks and processor technologies for achieving ever increasing raw computing speeds. Second, we analyse a parallel computing algorithm, task mapping, for helping minimize and balance data movement over a complex network of processors. Third, we discuss several computational science projects including study of the mechanisms of human blood platelet activations, causing heart attacks and strokes, by multi-scale discrete particle dynamics and molecular dynamics.

Supercomputers are capable of performing 1016 floating-point operations per second (34 PFlops). The greatest challenges facing computer and computational scientists are to further increase the computer speeds and, more challengingly, to develop programming models to enable realization of the potentials of such massive systems.

We will discuss three related topics. First, we review the latest innovations in interconnection networks and processor technologies for achieving ever increasing raw computing speeds. Second, we analyse a parallel computing algorithm, task mapping, for helping minimize and balance data movement over a complex network of processors. Third, we discuss several computational science projects including study of the mechanisms of human blood platelet activations, causing heart attacks and strokes, by multi-scale discrete particle dynamics and molecular dynamics.

Biography
Yuefan Deng is Professor of Applied Mathematics at Stony Brook University, a Visiting Scientist at Brookhaven National Laboratory, and a distinguished visiting professor at the National Supercomputer Center in Jianan. He has worked at IBM in the design of BlueGene supercomputers. His research is in Parallel Computing, Molecular Dynamics, Monte Carlo Methods, and Computational Science. He published more than 80 papers and supervised nearly 30 doctoral theses. He is the architect of Galaxy Beowulf Supercomputer at Stony Brook built in 1997 and of NankaiStars Supercomputer which was China's fastest computer when it was completed in 2004. He lectured widely in US, Germany, Russia, Brazil, South Korea, Saudi Arabia, Turkey, as well as the Greater China region. His research is supported by the US DOE, NSF, NIH, as well as China’s Ministry of, and Shanghai’s Commission of, Science and Technology. Professor Deng earned his BA in Physics from Nankai University in 1983 and his PhD in Theoretical Physics from Columbia University in 1989.

No of Participants: 18

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