Andreas Knüpfer (ed.); Tobias Hilbrich (ed.); Christoph Niethammer (ed.); José Gracia (ed.); Wolfgang E. Nagel (ed.); Resch Springer (2016) Kovakantinen kirja
Andreas Knüpfer; Tobias Hilbrich; Christoph Niethammer; José Gracia; Wolfgang E. Nagel; Michael M. Resch Springer International Publishing AG (2018) Pehmeäkantinen kirja
Andrea Knupfer; Christiane Klempin; Sophie Charlotte Vogel; Nils Bernstein; Martin Kesting; Thomas Pfeifer; Luisa Alfes Verlag an der Ruhr GmbH (2024) Pehmeäkantinen kirja
Eduardo César; Michael Alexander; Achim Streit; Jesper Larsson Traff; Christophe Cérin; Andreas Knüpfer; Die Kranzlmüller Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2009) Pehmeäkantinen kirja
Hai-Xiang Lin; Michael Alexander; Martti Forsell; Andreas Knüpfer; Radu Prodan; Leonel Sousa; Achim Streit Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010) Pehmeäkantinen kirja
Christoph Niethammer (ed.); José Gracia (ed.); Tobias Hilbrich (ed.); Andreas Knüpfer (ed.); Michael M. Resch (ed.); Nagel Springer (2017) Kovakantinen kirja
Christoph Niethammer (ed.); José Gracia (ed.); Andreas Knüpfer (ed.); Michael M. Resch (ed.); Wolfgang E. Nagel (ed.) Springer (2016) Pehmeäkantinen kirja
Christoph Niethammer; José Gracia; Tobias Hilbrich; Andreas Knüpfer; Michael M. Resch; Wolfgang E. Nagel Springer International Publishing AG (2018) Pehmeäkantinen kirja
Martina Schiele; Friedrich-Ebert-Schule; Martina Schiele; Helmut Landwehr; Hanns Frericks; Andrea Knupfer; Joel Trappmann Westermann Berufl.Bildung (2022) Kovakantinen kirja
Current advances in High Performance Computing (HPC) increasingly impact efficient software development workflows. Programmers for HPC applications need to consider trends such as increased core counts, multiple levels of parallelism, reduced memory per core, and I/O system challenges in order to derive well performing and highly scalable codes. At the same time, the increasing complexity adds further sources of program defects. While novel programming paradigms and advanced system libraries provide solutions for some of these challenges, appropriate supporting tools are indispensable. Such tools aid application developers in debugging, performance analysis, or code optimization and therefore make a major contribution to the development of robust and efficient parallel software. This book introduces a selection of the tools presented and discussed at the 7th International Parallel Tools Workshop, held in Dresden, Germany, September 3-4, 2013.
