| Analyzing the effect of local rounding error propagation on the maximal attainable accuracy of the pipelined conjugate gradient method S Cools, EF Yetkin, E Agullo, L Giraud, W Vanroose SIAM Journal on Matrix Analysis and Applications 39 (1), 426-450, 2018 | 18 | 2018 |
| On rounding error resilience, maximal attainable accuracy and parallel performance of the pipelined Conjugate Gradients method for large-scale linear systems in PETSc S Cools, W Vanroose, EF Yetkin, E Agullo, L Giraud Proceedings of the Exascale Applications and Software Conference 2016, 1-10, 2016 | 11 | 2016 |
| Analysis of rounding error accumulation in Conjugate Gradients to improve the maximal attainable accuracy of pipelined CG S Cools, EF Yetkin, E Agullo, L Giraud, W Vanroose | 8 | 2016 |
| On soft errors in the Conjugate Gradient method: sensitivity and robust numerical detection E Agullo, S Cools, E Fatih-Yetkin, L Giraud, W Vanroose | 4 | 2018 |
| Hard faults and soft-errors: Possible numerical remedies in linear algebra solvers E Agullo, S Cools, L Giraud, A Moreau, P Salas, W Vanroose, EF Yetkin, ... International Conference on Vector and Parallel Processing, 11-18, 2016 | 3 | 2016 |
| A new preconditioner design based on spectral division for power flow analysis H Dag, EF Yetkin, M Manguoglu Praise Worthy Prize, 2011 | 3 | 2011 |
| A spectral divide and conquer method based preconditioner design for power flow analysis H Dağ, EF Yetkin 2010 International Conference on Power System Technology, 1-6, 2010 | 3 | 2010 |
| Parallel implementation of iterative rational Krylov methods for model order reduction EF Yetkin, H Dağ 2009 Fifth International Conference on Soft Computing, Computing with Words …, 2009 | 3 | 2009 |
| Applications of Eigenvalue Inclusion Theorems in Model Order Reduction EF Yetkin, H Dag ABTEKNILLINEN KORKEAKOULU, 115, 2008 | 2 | 2008 |
| On soft errors in the Conjugate Gradient method: sensitivity and robust numerical detection-revised E Agullo, S Cools, E Fatih-Yetkin, L Giraud, N Schenkel, W Vanroose Inria Bordeaux Sud-Ouest, 2020 | 1 | 2020 |
| The classification of Turkish economic growth by artificial neural network algorithms Y Karaca, Ş Bayrak, EF Yetkin International Conference on Computational Science and Its Applications, 115-126, 2017 | 1 | 2017 |
| Soft Error in PCG: Sensitivity, Numerical Detections and Possible Recoveries E Agullo, L Giraud, EF Yetkin | 1 | 2017 |
| Sparsity preserving computation for spectral projectors EF Yetkin, H Dağ AIP Conference Proceedings 1368 (1), 267-270, 2011 | 1 | 2011 |
| Applications of Eigenvalue Counting and Inclusion Theorems in Model Order Reduction EF Yetkin, H Dagğ Scientific Computing in Electrical Engineering SCEE 2008, 499-506, 2010 | 1 | 2010 |
| A Comparison of the Model Order Reduction Techniques for Linear Systems Arising from VLSI Interconnection Simulation E Fatih Yetkin, H DAĞ Applied Numerical Analysis & Computational Mathematics 1 (1), 290-303, 2004 | 1 | 2004 |
| A Comparison of the Model Order Reduction Techniques for Linear Systems arising from VLSI Interconnection Simulation EF Yetkin, H Dag NACoM-2003 Extended Abstracts, 181, 0 | 1 | |
| A complementary note on soft errors in the Conjugate Gradient method: the persistent error case E Agullo, S Cools, E Fatih-Yetkin, L Giraud, N Schenkels, W Vanroose Inria Bordeaux Sud-Ouest, 2020 | | 2020 |
| Active and Reactive Power Load Profiling Using Dimensionality Reduction Techniques and Clustering EF Yetkin, O Ceylan, TA Papadopoulos, AG Kazaki, ... 2019 54th International Universities Power Engineering Conference (UPEC), 1-6, 2019 | | 2019 |
| Numerical Analysis of the Maximal Attainable Accuracy in Communication-hiding Pipelined Conjugate Gradients S Cools, J Cornelis, E Agullo, E Fatih-Yetkin, L Giraud, W Vanroose | | 2019 |
| On Soft Errors in the Conjugate Gradient: Sensitivity and Robust Numerical Detection E Agullo, S Cools, L Giraud, E Fatih-Yetkin, W Vanroose | | 2019 |
