LEADER 03537nam 22005655 450 001 9910254282603321 005 20220520182048.0 010 $a3-319-56702-0 024 7 $a10.1007/978-3-319-56702-0 035 $a(CKB)3710000001364190 035 $a(DE-He213)978-3-319-56702-0 035 $a(MiAaPQ)EBC4856431 035 $a(PPN)201474832 035 $a(EXLCZ)993710000001364190 100 $a20170508d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTools for High Performance Computing 2016 $eProceedings of the 10th International Workshop on Parallel Tools for High Performance Computing, October 2016, Stuttgart, Germany /$fedited by Christoph Niethammer, José Gracia, Tobias Hilbrich, Andreas Knüpfer, Michael M. Resch, Wolfgang E. Nagel 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (IX, 140 p. 60 illus., 48 illus. in color.) 311 0 $a3-319-56701-2 320 $aIncludes bibliographical references at the end of each chapters. 330 $aThis book presents the proceedings of the 10th International Parallel Tools Workshop, held October 4-5, 2016 in Stuttgart, Germany ? a forum to discuss the latest advances in parallel tools. High-performance computing plays an increasingly important role for numerical simulation and modelling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis have emerged from the high-performance computing community over the last decade, and what may have started as collection of small helper script has now matured to production-grade frameworks. Powerful user interfaces and an extensive body of documentation allow easy usage by non-specialists.