2014.39: Zolotarev quadrature rules and load balancing for the FEAST eigensolver
2014.39: Stefan Güttel, Eric Polizzi, Peter Tang and Gautier Viaud (2014) Zolotarev quadrature rules and load balancing for the FEAST eigensolver.
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The FEAST method for solving large sparse eigenproblems is equivalent to subspace iteration with an approximate spectral projector and implicit orthogonalization. This relation allows to characterize the convergence of this method in terms of the error of a certain rational approximant to an indicator function. We propose improved rational approximants leading to FEAST variants with faster convergence, in particular, when using rational approximants based on the work of Zolotarev. Numerical experiments demonstrate the possible computational savings especially for pencils whose eigenvalues are not well separated and when the dimension of the search space is only slightly larger than the number of wanted eigenvalues. The new approach improves both convergence robustness and load balancing when FEAST runs on multiple search intervals in parallel.
|Item Type:||MIMS Preprint|
|Uncontrolled Keywords:||generalized eigenproblem, FEAST, quadrature, Zolotarev, filter design, load balancing|
|Subjects:||MSC 2000 > 41 Approximations and expansions|
MSC 2000 > 65 Numerical analysis
|Deposited By:||Stefan Güttel|
|Deposited On:||30 July 2014|
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- Zolotarev quadrature rules and load balancing for the FEAST eigensolver (deposited 21 March 2015)
- Zolotarev quadrature rules and load balancing for the FEAST eigensolver (deposited 30 July 2014) [Currently Displayed]