LEADER 04073nam 22005535 450 001 9910338252103321 005 20250819204736.0 010 $a3-030-11987-4 024 7 $a10.1007/978-3-030-11987-4 035 $a(CKB)4100000007656794 035 $a(DE-He213)978-3-030-11987-4 035 $a(MiAaPQ)EBC5709682 035 $a(PPN)235007277 035 $a(EXLCZ)994100000007656794 100 $a20190214d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTools for High Performance Computing 2017 $eProceedings of the 11th International Workshop on Parallel Tools for High Performance Computing, September 2017, Dresden, Germany /$fedited by Christoph Niethammer, Michael M. Resch, Wolfgang E. Nagel, Holger Brunst, Hartmut Mix 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (VII, 143 p. 117 illus., 68 illus. in color.) 311 0 $a3-030-11986-6 327 $aMichael Wagner, Stephan Mohr, Judit Giménez, and Jesús Labarta: A Structured Approach to Performance Analysis -- Anthony Danalis, Heike Jagode, Hanumantharayappa, Sangamesh Ragate, and Jack Dongarra: Counter Inspection Toolkit: Making Sense out of Hardware Performance Events -- Youenn Lebras, Andres S. Charif Rubial, Romain Dolbeau, and William Jalby: ASSIST: An FDO source-to-source transformation tool for HPC applications -- Jean-Baptiste Besnard, Allen D. Malony, Sameer Shende, Marc Pérache, Patrick Carribault, and Julien Jaeger: Unifying the Analysis of Performance Event Streams at the Consumer Interface Level -- Joachim Protze, Tim Cramer, Simon Convent, and Matthias S. Müller: OMPT-Multiplex: Nesting of OMPT Tools -- Marc Schlütter, Christian Feld, Pavel Saviankou, Michael Knobloch, Marc-André Hermanns, and Bernd Mohr: Score-P and Cube extensions for Intel Phi -- Isaías A. Comprés Ureńa and Michael Gerndt: Towards Elastic Resource Management -- Matthias Weber, Johannes Ziegenbalg, and Bert Wesarg: Online Performance Analysis with the Vampir Tool Set. 330 $aThis book presents the proceedings of the 11th International Parallel Tools Workshop, a forum to discuss the latest advances in parallel tools, held September 11-12, 2017 in Dresden, Germany. High-performance computing plays an increasingly important role for numerical simulation and modeling 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 has emerged from the high-performance computing community over the last decade, and what may have started as a collection of a small helper scripts has now matured into production-grade frameworks. Powerful user interfaces and an extensive body of documentation together create a user-friendly environment for parallel tools. 606 $aMathematics$xData processing 606 $aComputers 606 $aComputer programming 606 $aComputational Science and Engineering 606 $aHardware Performance and Reliability 606 $aProgramming Techniques 615 0$aMathematics$xData processing. 615 0$aComputers. 615 0$aComputer programming. 615 14$aComputational Science and Engineering. 615 24$aHardware Performance and Reliability. 615 24$aProgramming Techniques. 676 $a004 702 $aNiethammer$b Christoph$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aResch$b Michael M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNagel$b Wolfgang E$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBrunst$b Holger$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMix$b Hartmut$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910338252103321 996 $aTools for High Performance Computing 2017$91733797 997 $aUNINA