IAKYMCHUK Roman

Postdoc
Team : PEQUAN
Departure date : 07/31/2022
https://perso.lip6.fr/Roman.Iakymchuk

Departure date : 07/31/2022

2014-2023 Publications

2023
- R. Iakymchuk, S. Graillat, José I. Aliaga : “General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of BiCGStab methods”, (2023)
2022
- D. Mukunoki, R. Iakymchuk, F. Jézéquel, K. Ozaki, T. Ogita, T. Imamura : “Remedies for Reproducibility Issue in Conjugate Gradient Solvers”, Sparse Days conference, Saint-Girons, France (2022)
2021
- R. Iakymchuk, S. Graillat, J. Aliaga : “General framework for deriving reproducible Krylov subspace algorithms: A BiCGStab case study”, (2021)
- I. Argyros, S. Shakhno, R. Iakymchuk, H. Yarmola, M. Argyros : “Gauss–Newton–Secant Method for Solving Nonlinear Least Squares Problems under Generalized Lipschitz Conditions”, Axioms, vol. 10 (3), pp. 158, (MDPI) (2021)
- R. Iakymchuk, D. Mukunoki, T. Ogita, K. Ozaki, S. Graillat : “Accurate and Reproducible Conjugate Gradient in Hybrid Parallel Environments”, (2021)
- F. Jézéquel, S. Graillat, D. Mukunoki, T. Imamura, R. Iakymchuk : “Fast rounding error estimation for compute-intensive operations using standard floating-point arithmetic”, RAIM (Rencontres Arithmétiques de l'Informatique Mathématique), Paris, France (2021)
2020
- D. Mukunoki, K. Ozaki, T. Ogita, R. Iakymchuk : “Conjugate Gradient Solvers with High Accuracy and Bit-wise Reproducibility between CPU and GPU using Ozaki Scheme”, (2020)
- R. Iakymchuk, M. Vayá, S. Graillat, J. Aliaga, E. Quintana‑Ortí : “Reproducibility of parallel preconditioned conjugate gradient in hybrid programming environments”, International Journal of High Performance Computing Applications, vol. 34 (5), pp. 502-518, (SAGE Publications) (2020)
- F. Jézéquel, S. Graillat, D. Mukunoki, T. Imamura, R. Iakymchuk : “Can we avoid rounding-error estimation in HPC codes and still get trustworthy results?”, Lecture Notes in Computer Science, Los Angeles, CA, United States (2020)
- R. Iakymchuk, M. Barreda, M. Wiesenberger, J. Aliaga, E. Quintana‑Ortí : “Reproducibility Strategies for Parallel Preconditioned Conjugate Gradient”, (2020)
- R. Iakymchuk, M. Barreda, S. Graillat, J. Aliaga, E. Quintana‑Ortí : “Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments”, (2020)
- R. Iakymchuk, D. Mukunoki, A. Podobas, F. Jézéquel, T. Imamura, N. Fujita, J. Huthmann, Sh. Kudo, Y. Tan, J. Domke, K. Ohlhus, T. Fukaya, T. Hoshi, Y. Murakami, M. Nakata, T. Ogita, K. Sano, T. Boku : “White Paper from the Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing”, (2020)
- F. Jézéquel, S. Graillat, D. Mukunoki, T. Imamura, R. Iakymchuk : “Can we avoid rounding-error estimation in HPC codes and still get trustful results?”, (2020)
- T. Boku, N. Fujita, S. Graillat, J. Huthmann, R. Iakymchuk, T. Imamura, F. Jézéquel, A. Koshiba, D. Mukunoki, K. Sano, Y. Tan : “Minimal-Precision Computing for High-Performance, Energy-Efficient, and Reliable Computations”, 2^nd R-CCS international symposium, K to Fugaku: Simulation, Big Data and AI supporting Society 5.0, Kobe, Japan (2020)
- R. Iakymchuk, S. Graillat, F. Jézéquel, D. Mukunoki, T. Imamura, Y. Tan, A. Koshiba, J. Huthmann, K. Sano, N. Fujita, T. Boku : “Optimizing Precision for High-Performance, Robust, and Energy-Efficient Computations”, International Conference on High Performance Computing in Asia-Pacific Region,, Fukuoka, Japan (2020)
2019
- T. Boku, N. Fujita, S. Graillat, J. Huthmann, R. Iakymchuk, T. Imamura, F. Jézéquel, A. Koshiba, D. Mukunoki, K. Sano, Y. Tan : “Minimal-Precision Computing for High-Performance, Energy-Efficient, and Reliable Computations”, International Conference on High Performance Computing, Networking, Storage and Analysis (SC19), Denver, United States (2019)
- T. Imamura, D. Mukunoki, R. Iakymchuk, F. Jézéquel, S. Graillat : “Numerical Reproducibility based on Minimal-Precision Validation”, Computational Reproducibility at Exascale Workshop (CRE2019), in conjunction with the International Conference on High Performance Computing, Networking, Storage and Analysis (SC19), Denver, United States (2019)
- D. Mukunoki, I. Toshiyuki, Y. Tan, A. Koshiba, J. Huthmann, K. Sano, F. Jézéquel, S. Graillat, R. Iakymchuk, N. Fujita, T. Boku : “Minimal-Precision Computing for High-Performance, Energy-Efficient, and Reliable Computations”, France-Japan-Germany trilateral workshop: Convergence of HPC and Data Science for Future Extreme Scale Intelligent Applications, Tokyo, Japan (2019)
- R. Iakymchuk, S. Graillat, D. Defour, E. Quintana‑Ortí : “Hierarchical approach for deriving a reproducible unblocked LU factorization”, International Journal of High Performance Computing Applications, pp. #1094342019832968, (SAGE Publications) (2019)
2017
- R. Iakymchuk, S. Graillat, D. Defour, E. Laure, E. Quintana‑Ortí : “Towards a Reproducible Solution of Linear Systems”, Supercomputing Conference 2017-Computational Reproducibility at Exascale Workshop, Denver, United States (2017)
- R. Iakymchuk, E. Quintana‑Ortí, E. Laure, S. Graillat : “Towards Reproducible Blocked LU Factorization”, 4^th International Workshop on Reproducibility in Parallel Computing in conjunction with IPDPS 2017 - 31^st IEEE International Parallel & Distributed Processing Symposium, Orlando, United States (2017)
2016
- R. Iakymchuk, S. Graillat, D. Defour, E. Quintana‑Ortí : “Hierarchical Approach for Deriving a Reproducible LU factorization on GPUs”, The Numerical Reproducibility at Exascale (NRE16) workshop held as part of the Supercomputing Conference (SC16), Salt Lake City, UT, United States (2016)
- R. Iakymchuk, I. Toshiyuki, S. Graillat, S. Markidis, E. Laure : “A Case Study of the Reproducibility Issues in EigenExa”, EASC2016, Exascale Applications and Software Conference, Stockholm, Sweden (2016)
- R. Iakymchuk, D. Defour, C. Collange, S. Graillat : “Reproducible and Accurate Algorithms for Numerical Linear Algebra”, SIAM Conference on Parallel Processing for Scientific Computing (PP16), Paris, France, (SIAM) (2016)
- R. Iakymchuk, D. Defour, S. Graillat : “Towards Fast, Accurate and Reproducible LU Factorization”, SCAN 2016, 17^th international symposium on Scientific Computing, Computer Arithmetic and Validated Numerics, Uppsala, Sweden, pp. 59-60 (2016)
- R. Iakymchuk, D. Defour, C. Collange, S. Graillat : “Reproducible and Accurate Matrix Multiplication”, 16^th International Symposium on Scientific Computing, Computer Arithmetic, and Validated Numerics n°9553, Lecture Notes of Computer Science, Wurzburg, Germany, pp. 126-137 (2016)
2015
- C. Collange, D. Defour, S. Graillat, R. Iakymchuk : “Numerical Reproducibility for the Parallel Reduction on Multi- and Many-Core Architectures”, Parallel Computing, vol. 49, pp. 83-97, (Elsevier) (2015)
- C. Collange, D. Defour, S. Graillat, R. Iakymchuk : “Numerical Reproducibility for the Parallel Reduction on Multi- and Many-Core Architectures”, (2015)
- R. Iakymchuk, D. Defour, C. Collange, S. Graillat : “Reproducible Triangular Solvers for High-Performance Computing”, 2015 12^th International Conference on Information Technology - New Generations, Las Vegas, NV, United States, pp. 353-358, (IEEE) (2015)
- R. Iakymchuk, S. Graillat, C. Collange, D. Defour : “ExBLAS: Reproducible and Accurate BLAS Library”, RAIM: Rencontres Arithmétiques de l’Informatique Mathématique, Rennes, France (2015)
- R. Iakymchuk, S. Shakhno : “Methods with Successive and Parallel Approximations of Inverse Operator for the Nonlinear Least Squares Problem”, PAMM. Vol. 15. Special issue: 86^th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Lecce, Italy, pp. 569-570 (2015)
- R. Iakymchuk, D. Defour, C. Collange, S. Graillat : “Reproducible and Accurate Matrix Multiplication for GPU Accelerators”, (2015)
- R. Iakymchuk, C. Collange, D. Defour, S. Graillat : “ExBLAS: Reproducible and Accurate BLAS Library”, NRE: Numerical Reproducibility at Exascale, Austin, TX, United States (2015)
- R. Iakymchuk, C. Collange, D. Defour, S. Graillat : “Reproducibility and Accuracy for High-Performance Computing”, 7^e Rencontre Arithmétique de l'Informatique Mathématique, Rennes, France (2015)
2014
- R. Iakymchuk, S. Shakhno : “On the Convergence Analysis of a Two-Step Modification of the Gauss-Newton Method”, PAMM. Vol. 14. Special issue: 85^th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Erlangen, Germany, pp. 813-814 (2014)
- C. Collange, D. Defour, S. Graillat, R. Iakymchuk : “Reproducible and Accurate Matrix Multiplication for High-Performance Computing”, 16^th GAMM-IMACS International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics, Wuerzburg, Germany, pp. 42-43 (2014)
- C. Collange, D. Defour, S. Graillat, R. Iakymchuk : “A Reproducible Accurate Summation Algorithm for High-Performance Computing”, SIAM Workshop on Exascale Applied mathematics Challenges and opportunites, Chicago, United States (2014)