Accelerating Life Science Applications with GPU
22 Jan 2014 - 22 Jan 2014

Date: 22 January 2014, Wednesday
Time: 2.30 pm – 5 pm
Venue: Level 17, Charles Babbage Room, 1 Fusionopolis Way,Connexis South, Singapore 138632

Speaker: Dr Simon See, High Performance Computing Technology Director and Chief Solution Architect, Nvidia Inc, Asia

Lecture
Modern graphics processing units (GPUs) contain hundreds of arithmetic units and can be harnessed to provide tremendous acceleration for scientific applications such as molecular modeling, computational biology & chemistry and bioinformatics.

Learn about Life Science applications that leverage the power of GPU.  Hear the case studies that were able to shorten research cycles and speed up discovery process through GPU acceleration.

Agenda 

2:30 pm – 2:45 pm Registration / coffee break
2:45 pm – 3:15 pm “GPU-Accelerated Molecular Dynamics Applications Overview” - Dr Simon See, Chief Solution Architect, NVIDIA
3:15 pm – 3:45 pm “Life Science research at Beijing Genome Institute” - Dr Simon See, Chief Scientific Computing Advisor, Beijing Genome Institute
3:45 pm – 4:00 pm Q&A with Dr See
4:00 pm – 4:15 pm Tea Break
4:15 pm – 4:30 pm "Benchmarks of GROMACS on GPUs:a Case Study" - Li Jianguo, Bioinformatics Institute, A*Star
4:30 pm – 4:40 pm Q&A with Li Jianguo
4:40 pm – 4:55 pm "Case Study: Exploring conformational space of Biomolecules with Amber on GPUs" –Dr. Srinivasaraghavan Kannan, Bioinformatics Institute, A*Star
4:55 pm – 5:00 pm Q&A with Dr Kannan

Biography

Dr Simon See is currently the High Performance Computing Technology Director and Chief Solution Architect for Nvidia Inc, Asia and also the Chief Scientific Computing Advisor for BGI (China).  Concurrently Dr See is also Professor and Chief Scientific Computing Officer in Shanghai Jiao Tong University.  His research interests are in the area of High Performance Computing, computational science, Applied Mathematics and simulation methodology.  He has published over 100 papers in these areas and has won various awards.  Dr. See graduated from University of Salford (UK) with a Ph.D. in electrical engineering and numerical analysis in 1993.  Prior to joining NVIDIA, Dr See worked for SGI, DSO National Lab. of Singapore, IBM, International Simulation Ltd (UK), Sun Microsystems and Oracle.  He is also providing consultancy to a number of national research and supercomputing centers.

No of Participants: 6

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