Guest editor’s note: Special issue on challenges and solutions for porting applications to emerging high performance computing systems

Abstract

This special issue gathers revised and extended versions of selected papers presented at the 12th International Conference on Parallel Processing and Applied Mtahematics, PPAM 2017, which was held September 10–13, 2017 in Lublin, Poland (http://ppam.pl). This conference is a continuation of a series of conferences started in 1994. They have been held every 2 years in different universities in Poland. The purpose of PPAM conferences is to exchange ideas between researchers involved in parallel and distributed computing, including theory and applications, as well as applied and computational mathematics. PPAM 2017 was organized by the Department of Computer and Information Science of the Czestochowa University of Technology together with Maria Curie-Skłodowska University in Lublin, under the patronage of the Committee of Informatics of the Polish Academy of Sciences, in cooperation with the IEEE Computer Society and the Information and Communication Technologies COST Action IC1305 “Network for Sustainable Ultrascale Computing (NESUS).” The focus of PPAM 2017 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 data-intensive and machine learning challenges and solutions. The following papers present research on efficient adaptation of applications to HPC platforms with accelerators, evaluation, and optimization of real-world HPC applications, performance portable parallel programming, alternative programming models for large-scale HPC applications. The papers in this special issue address the following topics: