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Umeå University
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Staff photo Roman Iakymchuk

Roman Iakymchuk

I conduct research on numerically reliable and sustainable algorithmic solutions and their application. I teach scientific computing, parallel programming, and optimization

0000-0003-2414-700X

Contact

E-mail
roman.iakymchuk@umu.se
Phone
+46 90 786 75 42

Works at

Affiliation
Associate professor at Department of Computing Science
Location
MIT-huset, Umeå universitet Umeå universitet, 901 87 Umeå

Roman Iakymchuk is Associate Professor at the Department of Computing Science at Umeå University, Sweden.

He conducts his research on numerical linear algebra, accuracy and working precision of computations, parallel programming models as well as enabling sustainable computations.

If you are interested in making computations sustainable (again), contact me.
I have several projects from Bachelor and Master to PhD levels.

Best practice guide – harvesting energy consumption on european HPC systems: sharing experience from the CEEC project
The CEEC Consortium Partners 2024
Gedik, Gülçin; Kulkarni, Kajol; Chen, Yanxiang; et al.
Robustness and accuracy in pipelined Bi-Conjugate Gradient Stabilized methods
Computational science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part III, Springer 2024 : 311-319
Havdiak, Mykhailo; Aliaga, José I.; Iakymchuk, Roman
General framework for re-assuring numerical reliability in parallel Krylov solvers: a case of bi-conjugate gradient stabilized methods
The international journal of high performance computing applications, Sage Publications 2024, Vol. 38, (1) : 17-33
Iakymchuk, Roman; Graillat, Stef; Aliaga, José I.
General framework for deriving reproducible krylov subspace algorithms: BiCGStab case
Parallel processing and applied mathematics: 14th International Conference, PPAM 2022, Gdansk, Poland, September 11–14, 2022, Revised Selected Papers, Part I, Springer Science+Business Media B.V. 2023 : 16-29
Iakymchuk, Roman; Graillat, Stef; Aliaga, José I.
View publications in DiVA

Roman Iakymchuk teaches courses on scientific computing (with floating-point errors to correct solutions and applications), parallel programming on many- and multi-core architectures (CUDA, Pthreads, and OpenMP) as well as distributed (MPI and GASPI).