HPC on Competitive Cloud Resources. - Paolo Bientinesi; Roman Iakymchuk; Jeff Napper (Handbook of Cloud Computing, 2010)

Improving high-performance computations on clouds through resource underutilization. - Roman Iakymchuk; Jeff Napper; Paolo Bientinesi (SAC, 2011)

Modeling performance through memory-stalls. - Roman Iakymchuk; Paolo Bientinesi (SIGMETRICS Perform. Evaluation Rev., 2012)

Performance modeling and prediction for linear algebra algorithms. - Roman Iakymchuk (2012)

Reproducible and Accurate Matrix Multiplication. - Roman Iakymchuk; David Defour; Caroline Collange; Stef Graillat (SCAN, 2014)

Reproducible Triangular Solvers for High-Performance Computing. - Roman Iakymchuk; David Defour; Caroline Collange; Stef Graillat (ITNG, 2015)

Numerical reproducibility for the parallel reduction on multi- and many-core architectures. - Caroline Collange; David Defour; Stef Graillat; Roman Iakymchuk (Parallel Comput., 2015)

A Performance Characterization of Streaming Computing on Supercomputers. - Stefano Markidis; Ivy Bo Peng; Roman Iakymchuk; Erwin Laure; Gokcen Kestor; Roberto Gioiosa (ICCS, 2016)

Performance Study of Multithreaded MPI and OpenMP Tasking in a Large Scientific Code. - Dana Akhmetova; Roman Iakymchuk; Örjan Ekeberg; Erwin Laure (IPDPS Workshops, 2017)

Towards Reproducible Blocked LU Factorization. - Roman Iakymchuk; Enrique S. Quintana-Ortí; Erwin Laure; Stef Graillat (IPDPS Workshops, 2017)

Interoperability of GASPI and MPI in Large Scale Scientific Applications. - Dana Akhmetova; Luis Cebamanos; Roman Iakymchuk; Tiberiu Rotaru; Mirko Rahn; Stefano Markidis; Erwin Laure; Valeria Bartsch; Christian Simmendinger (PPAM (2), 2017)

A Taxonomy of Task-Based Technologies for High-Performance Computing. - Peter Thoman; Khalid Hasanov; Kiril Dichev; Roman Iakymchuk; Xavier Aguilar; Philipp Gschwandtner; Pierre Lemarinier; Stefano Markidis; Herbert Jordan; Erwin Laure; Kostas Katrinis; Dimitrios S. Nikolopoulos; et al. (PPAM (2), 2017)

Efficient Algorithms for Collective Operations with Notified Communication in Shared Windows. - Muhammed Abdullah Al Ahad; Christian Simmendinger; Roman Iakymchuk; Erwin Laure; Stefano Markidis (PAW-ATM@SC, 2018)

A taxonomy of task-based parallel programming technologies for high-performance computing. - Peter Thoman; Kiril Dichev; Thomas Heller; Roman Iakymchuk; Xavier Aguilar; Khalid Hasanov; Philipp Gschwandtner; Pierre Lemarinier; Stefano Markidis; Herbert Jordan; Thomas Fahringer; Kostas Katrinis; et al. (J. Supercomput., 2018)

Reproducibility, accuracy and performance of the Feltor code and library on parallel computer architectures. - Matthias Wiesenberger; Lukas Einkemmer; Markus Held; Albert Gutierrez-Milla; Xavier Saez; Roman Iakymchuk (Comput. Phys. Commun., 2019)

Hierarchical approach for deriving a reproducible unblocked LU factorization. - Roman Iakymchuk; Stef Graillat; David Defour; Enrique S. Quintana-Ortí (Int. J. High Perform. Comput. Appl., 2019)

Interoperability strategies for GASPI and MPI in large-scale scientific applications. - Christian Simmendinger; Roman Iakymchuk; Luis Cebamanos; Dana Akhmetova; Valeria Bartsch; Tiberiu Rotaru; Mirko Rahn; Erwin Laure; Stefano Markidis (Int. J. High Perform. Comput. Appl., 2019)

Can We Avoid Rounding-Error Estimation in HPC Codes and Still Get Trustworthy Results? - Fabienne Jézéquel; Stef Graillat; Daichi Mukunoki; Toshiyuki Imamura; Roman Iakymchuk (VSTTE, 2020)

White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing. - Roman Iakymchuk; Daichi Mukunoki; Artur Podobas; Fabienne Jézéquel; Toshiyuki Imamura; Norihisa Fujita; Jens Huthmann; Shuhei Kudo; Yiyu Tan; Jens Domke; Kai Torben Ohlhus; Takeshi Fukaya; et al. (CoRR, 2020)

Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments. - Roman Iakymchuk; Maria Barreda; Stef Graillat; José Ignacio Aliaga; Enrique S. Quintana-Ortí (CoRR, 2020)

AllScale toolchain pilot applications: PDE based solvers using a parallel development environment. - Fearghal O'Donncha; Roman Iakymchuk; Albert Akhriev; Philipp Gschwandtner; Peter Thoman; Thomas Heller; Xavier Aguilar; Kiril Dichev; Charles Gillan; Stefano Markidis; Erwin Laure; Emanuele Ragnoli; et al. (Comput. Phys. Commun., 2020)

Reproducibility of parallel preconditioned conjugate gradient in hybrid programming environments. - Roman Iakymchuk; María Barreda Vayá; Stef Graillat; José Ignacio Aliaga; Enrique S. Quintana-Ortí (Int. J. High Perform. Comput. Appl., 2020)

Reproducibility strategies for parallel Preconditioned Conjugate Gradient. - Roman Iakymchuk; Maria Barreda; Matthias Wiesenberger; José Ignacio Aliaga; Enrique S. Quintana-Ortí (J. Comput. Appl. Math., 2020)

Conjugate Gradient Solvers with High Accuracy and Bit-wise Reproducibility between CPU and GPU using Ozaki scheme. - Daichi Mukunoki; Katsuhisa Ozaki; Takeshi Ogita; Roman Iakymchuk (HPC Asia, 2021)

Efficient and Eventually Consistent Collective Operations. - Roman Iakymchuk; Amândio Faustino; Andrew P. J. Emerson; João Barreto 001; Valeria Bartsch; Rodrigo Rodrigues 001; José C. Monteiro 001 (IPDPS Workshops, 2021)

Gauss-Newton-Secant Method for Solving Nonlinear Least Squares Problems under Generalized Lipschitz Conditions. - Ioannis K. Argyros; Stepan Shakhno; Roman Iakymchuk; Halyna Yarmola; Michael I. Argyros (Axioms, 2021)

General Framework for Deriving Reproducible Krylov Subspace Algorithms: BiCGStab Case. - Roman Iakymchuk; Stef Graillat; José Ignacio Aliaga (PPAM (1), 2022)

General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of BiCGStab methods. - Roman Iakymchuk; José Ignacio Aliaga (CoRR, 2023)

Robustness and Accuracy in Pipelined Bi-conjugate Gradient Stabilized Methods. - Mykhailo Havdiak; José Ignacio Aliaga; Roman Iakymchuk (ICCS (3), 2024)

Enabling Mixed-Precision with the Help of Tools: A Nekbone Case Study. - Yanxiang Chen; Pablo de Oliveira Castro; Paolo Bientinesi; Roman Iakymchuk (PPAM (1), 2024)

Robustness and Accuracy in Pipelined Bi-Conjugate Gradient Stabilized Method: A Comparative Study. - Mykhailo Havdiak; Jose I. Aliaga; Roman Iakymchuk (CoRR, 2024)

Verificarlo CI: continuous integration for numerical optimization and debugging. - Aurélien Delval; François Coppens; Eric Petit 002; Roman Iakymchuk; Pablo de Oliveira Castro (CoRR, 2024)

General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of bi-conjugate gradient stabilized methods. - Roman Iakymchuk; Stef Graillat; José Ignacio Aliaga (Int. J. High Perform. Comput. Appl., 2024)

Enabling Mixed-Precision in Computational Fluids Dynamics Codes. - Yanxiang Chen; Pablo de Oliveira Castro; Paolo Bientinesi; Niclas Jansson; Roman Iakymchuk (CoRR, 2025)

Enabling mixed-precision in spectral element codes. - Yanxiang Chen; Pablo de Oliveira Castro; Paolo Bientinesi; Niclas Jansson; Roman Iakymchuk (Future Gener. Comput. Syst., 2026)