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GTC ON-DEMAND

Computational Physics
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Accelerating Low-Lying Eigenmode Deflation for Lattice QCD Fermion Inverters on GPUs
Abstract:
Learn how to leverage the power of GPUs to accelerate solution of large sparse linear systems with multiple right hand sides by means of the incremental eigCG algorithm. For a given hermitian system with multiple right hand sides this algorithm allows (1) to compute incrementally a number of small magnitude eigenvalues and corresponding eigenvectors while solving the first few systems with standard Conjugate Gradient (CG), and then (2) to reuse the computed eigenvectors to deflate the CG solver for the remaining systems. In this session we will discuss implementation aspects of the technique and analyse its efficiency on the example of lattice QCD fermion matrix inversions.
 
Topics:
Computational Physics, Numerical Algorithms & Libraries, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4693
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