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GTC ON-DEMAND

HPC and Supercomputing
Presentation
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Scaling Soft Matter Physics to Thousands of GPUs in Parallel
Abstract:
Discover how to adapt a real, complex application such that it can efficiently utilize thousands of GPUs in parallel. We describe our successes in combining CUDA with MPI to simulate a wide variety of complex fluids of key importance to everyday life. We are careful to present our work in a generalizable way, such that others can learn from our experience, follow our methodology and even re-use our highly efficient communication library. We detail our efforts to maximize both performance and maintainability, noting that we support both CPU and GPU versions (where the latter is 3.5-5 times faster comparing equal numbers of GPUs and fully-utilized CPUs). We present our work to carefully schedule and overlap lattice based operations and halo-exchange communication mechanisms, allowing excellent scaling to at least 8,192 GPUs in parallel on the Titan supercomputer.
 
Topics:
HPC and Supercomputing, Computational Fluid Dynamics, Computational Physics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4285
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