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Accelerating nuclear configuration interaction calculations through a preconditioned block iterative eigensolver.

, , , , , and . Comput. Phys. Commun., (2018)

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Performance analysis of distributed symmetric sparse matrix vector multiplication algorithm for multi-core architectures., , , , and . Concurrency and Computation: Practice and Experience, 27 (17): 5019-5036 (2015)Large-scale parallel null space calculation for nuclear configuration interaction., , , , and . HPCS, page 176-185. IEEE, (2011)Deep Learning: Extrapolation Tool for Ab Initio Nuclear Theory., , , , , , , , , and 1 other author(s). CoRR, (2018)Accelerating nuclear configuration interaction calculations through a preconditioned block iterative eigensolver., , , , , and . Comput. Phys. Commun., (2018)Efficacy of the SU(3) scheme for ab initio large-scale calculations beyond the lightest nuclei., , , , , , , , , and . Comput. Phys. Commun., (2016)Scaling of ab-initio nuclear physics calculations on multicore computer architectures., , , , and . ICCS, volume 1 of Procedia Computer Science, page 97-106. Elsevier, (2010)Leveraging GPUs in Ab Initio Nuclear Physics Calculations., , , , , , , , and . IPDPS Workshops, page 1365-1372. IEEE, (2013)Integration of Ab Initio Nuclear Physics Calculations with Optimization Techniques., , , and . ICCS (1), volume 5101 of Lecture Notes in Computer Science, page 833-842. Springer, (2008)Effcient Shared-array Accesses in Ab Initio Nuclear Structure Calculations on Multicore Architectures., , , and . ICCS, volume 9 of Procedia Computer Science, page 256-265. Elsevier, (2012)Computational nuclear quantum many-body problem: The UNEDF project., , , , , , , , , and 21 other author(s). Comput. Phys. Commun., 184 (10): 2235-2250 (2013)