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GTC ON-DEMAND

Healthcare and Life Sciences
Presentation
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Enabling 10x Acceleration of Research in Molecular Life Sciences Using CUDA
Abstract:

Join this session to learn how to use GPUs and CUDA programming to achieve order-of-magnitude speedup even for large codes that are more complex than tutorial examples. We'll cover our multi-year effort on heterogeneous CPU-GPU accelerating for the GROMACS package for molecular dynamics simulations on a wide range of architectures. We'll introduce new results where CUDA has made it possible to accelerate the costly 3D image reconstruction used in single-particle cryo-electron microscopy (cryo-EM) by 20-200X. You'll learn how you can use these tools in your application work, and what strategies to pursue to accelerate difficult codes where neither libraries nor directives use useful, and even moving computational kernels to CUDA seems to fail.

 
Topics:
Healthcare and Life Sciences, HPC and AI
Type:
Talk
Event:
GTC Washington D.C.
Year:
2016
Session ID:
DCS16141
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