Roman Iakymchuk

Enabling mixed-precision in spectral element codes

Chen, Yanxiang; Castro, Pablo de Oliveira; Bientinesi, Paolo; Jansson, Niclas et al.

Ingår i Future Generation Computer Systems, 2026

• DOI för Enabling mixed-precision in spectral element codes
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Enabling mixed-precision with the help of tools: A Nekbone case study

Chen, Yanxiang; de Oliveira Castro, Pablo; Bientinesi, Paolo; Iakymchuk, Roman

Ingår i Parallel Processing and Applied Mathematics, s. 34-50, 2025

• DOI för Enabling mixed-precision with the help of tools: A Nekbone case study
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Verificarlo CI: continuous integration for numerical optimization and debugging

Delval, Aurélien; Coppens, Francois; Petit, Eric; Iakymchuk, Roman et al.

s. 104-107, 2024

• DOI för Verificarlo CI: continuous integration for numerical optimization and debugging
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Robustness and Accuracy in Pipelined Bi-conjugate Gradient Stabilized Methods

Havdiak, Mykhailo; Aliaga, José I.; Iakymchuk, Roman

Ingår i Computational Science – ICCS 2024, s. 311-319, 2024

• DOI för Robustness and Accuracy in Pipelined Bi-conjugate Gradient Stabilized Methods

General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of bi-conjugate gradient stabilized methods

Iakymchuk, Roman; Graillat, Stef; Aliaga, José I.

Ingår i The international journal of high performance computing applications, s. 17-33, 2024

• DOI för General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of bi-conjugate gradient stabilized methods

Enabling mixed-precision in spectral element codes

Chen, Yanxiang; Castro, Pablo de Oliveira; Bientinesi, Paolo; Jansson, Niclas et al.

Ingår i Future Generation Computer Systems, 2026

• DOI för Enabling mixed-precision in spectral element codes
• Ladda ner fulltext (pdf) av Enabling mixed-precision in spectral element codes

General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of bi-conjugate gradient stabilized methods

Iakymchuk, Roman; Graillat, Stef; Aliaga, José I.

Ingår i The international journal of high performance computing applications, s. 17-33, 2024

• DOI för General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of bi-conjugate gradient stabilized methods

Enabling mixed-precision with the help of tools: A Nekbone case study

Chen, Yanxiang; de Oliveira Castro, Pablo; Bientinesi, Paolo; Iakymchuk, Roman

Ingår i Parallel Processing and Applied Mathematics, s. 34-50, 2025

• DOI för Enabling mixed-precision with the help of tools: A Nekbone case study
• Ladda ner fulltext (pdf) av Enabling mixed-precision with the help of tools: A Nekbone case study

Verificarlo CI: continuous integration for numerical optimization and debugging

Delval, Aurélien; Coppens, Francois; Petit, Eric; Iakymchuk, Roman et al.

s. 104-107, 2024

• DOI för Verificarlo CI: continuous integration for numerical optimization and debugging
• Ladda ner fulltext (pdf) av Verificarlo CI: continuous integration for numerical optimization and debugging

Robustness and Accuracy in Pipelined Bi-conjugate Gradient Stabilized Methods

Havdiak, Mykhailo; Aliaga, José I.; Iakymchuk, Roman

Ingår i Computational Science – ICCS 2024, s. 311-319, 2024

• DOI för Robustness and Accuracy in Pipelined Bi-conjugate Gradient Stabilized Methods