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Two-Stage Least Squares Algorithms with QR Decomposition for Simultaneous Equations Models on Heterogeneous Multicore and Multi-GPU Systems., , , и . ICCS, том 9 из Procedia Computer Science, стр. 2004-2007. Elsevier, (2012)Efficient Jacobi Algorithms on Multicomputers., , и . PARA, том 1041 из Lecture Notes in Computer Science, стр. 247-256. Springer, (1995)Using Hyperheuristics to Improve the Determination of the Kinetic Constants of a Chemical Reaction in Heterogeneous Phase., и . ICCS, том 29 из Procedia Computer Science, стр. 1345-1355. Elsevier, (2014)A High Performance Computing Course Guided by the LU Factorization., , , , и . ICCS, том 29 из Procedia Computer Science, стр. 1446-1457. Elsevier, (2014)Heterogeneous pipelined square-root Kalman Filter algorithm for the MMSE-OSIC problem., , и . J. Supercomput., 58 (2): 235-243 (2011)Heuristics for work distribution of a homogeneous parallel dynamic programming scheme on heterogeneous systems., , и . Parallel Comput., 31 (7): 711-735 (2005)Two-stage least squares and indirect least squares algorithms for simultaneous equations models., , и . J. Comput. Appl. Math., 236 (15): 3676-3684 (2012)Determination of the Kinetic Constants of a Chemical Reaction in Heterogeneous Phase Using Parameterized Metaheuristics., и . ICCS, том 18 из Procedia Computer Science, стр. 787-796. Elsevier, (2013)On Guided Installation of Basic Linear Algebra Routines in Nodes with Manycore Components., , , и . PMAM@PPoPP, стр. 114-122. ACM, (2016)Auto-tuning methodology to represent landform attributes on multicore and multi-GPU systems., , , , и . PMAM, стр. 125-132. ACM, (2013)