Guest Editor’s note: Special issue on challenges and solutions for porting applications to next-generation high performance computing systems

This special issue (SI) gathers revised and extended versions of selected papers presented at the 14th International Conference on Parallel Processing and Applied Mathematics, PPAM 2022, held September 11–14, 2022 in Gdańsk, Poland (https://ppam.edu.pl). This conference is a continuation of events that started in 1994. They have been held every 2 years in different universities in Poland. PPAM conferences aim to exchange ideas between researchers involved in parallel and distributed computing, including theory and applications, as well as applied and computational mathematics. Scheduled initially for 2021, the fourteenth edition of PPAM was postponed to 2022 because of the COVID-19 pandemic. PPAM 2022 was primarily an in-person event. However, the organizers made provisions for authors and delegates to present, attend, and interact online.

PPAM 2022 was organized by the Department of Computer Science of the Czestochowa University of Technology together with the Gdańsk University of Technology, under the patronage of the Committee of Informatics of the Polish Academy of Sciences, in technical cooperation with the Poznań Supercomputing and Networking Center. The focus of PPAM 2022 was on models, algorithms, and software tools that facilitate efficient and convenient use of modern parallel and distributed computing systems, as well as on large-scale applications, including artificial intelligence and machine learning approaches. Special attention was given to the future of computing beyond Moore’s law.

This event gathered about 170 participants from 25 countries, including about 130 in-person participants. The accepted papers were presented in the regular tracks of the conference and during the workshops. With each submission evaluated by at least three reviewers, a strict reviewing process resulted in the acceptance of 76 contributed articles, which were published in the conference proceedings. For regular conference tracks, 33 papers were selected from 62 submissions, giving an acceptance rate of about 53%.

Based on the results of the reviews, selected papers were recommended for a special journal issue. The authors were contacted after the conference and invited to submit revised and extended versions of their works. These new versions were reviewed independently again by at least three reviewers. Finally, three contributions were accepted for publication. They present research on porting applications to emerging multicore architectures, reproducibility of iterative methods in HPC environments with distributed memory, and the efficient adaptation of applications to HPC platforms with GPU (graphics processing unit) accelerators.

The articles in this Special Issue of IJHPCA address the following topics:

• Algorithmic Challenges and Solutions for Porting Applications to HPC Systems:

– multithreaded algorithms for parallel deduplication of data sequences in nuclear structure calculations and

– algorithmic strategies for re-assuring numerical reliability in parallel Krylov solvers: a case of BiCGStab methods.

• Challenges and Solutions in Advanced Numerical Modeling on HPC Systems with GPU Accelerators:

– GPU-based simulations reaching turbulence in atomistic models of stationary fluid flows.

The PPAM 2022 conference was made possible thanks to sponsorship from Intel, Graphcore, Hewlett Packard Enterprise, Koma Nord, Inspur, and Springer. We would like to express our sincere gratitude to them.