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GTC ON-DEMAND

Computational Physics
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Hierarchical Algorithms on Heterogeneous Architectures: Adaptive Multigrid Solvers for LQCD on GPUs
Abstract:
Graphics Processing Units (GPUs) are an increasingly popular platform upon which to deploy lattice quantum chromodynamics calculations. While there has been much progress to date in developing solver algorithms to improve strong scaling on such platforms, there has been less focus on deploying 'mathematically optimal' algorithms. A good example of this are hierarchical solver algorithms such as adaptive multigrid, which are known to solve the Dirac operator with optimal O(N) complexity. We describe progress to date in deploying adaptive multigrid solver algorithms to NVIDIA GPU architectures and discuss in general the suitability of heterogeneous architectures for hierarchical algorithms.
 
Topics:
Computational Physics, Numerical Algorithms & Libraries
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4327
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