Tools for High Performance Computing 2013
Springer International Publishing (Verlag)
978-3-319-08143-4 (ISBN)
Juan Gonzalez, Judit Gimenez, and Jesus Labarta: Performance Analytics: Understanding Parallel Applications Using Cluster and Sequence Analysis.- Mahesh Lagadapati, Frank Mueller, and Christian Engelmann: Tools for Simulation and Benchmark Generation at Exascale.- Dirk Schmidl, Christian Terboven, Dieter an Mey, and Matthias S. Müller: Suitability of Performance Tools for OpenMP Task-parallel Programs.- Yury Oleynik, Robert Mijakovic, Isaías A. Comprés Ure na, Michael Firbach, and Michael Gerndt: Recent Advances in Periscope for Performance Analysis and Tuning.- Xingfu Wu, Valerie Taylor, Charles Lively, Hung-Ching Chang, Bo Li, Kirk Cameron, Dan Terpstra, and Shirley Moore: MuMMI: Multiple Metrics Modeling Infrastructure.- Thomas M. Baumann and José Gracia: Cudagrind: Memory-Usage Checking for CUDA.- Trevor E. Carlson, Wim Heirman, Kenzo Van Craeynest, Lieven Eeckhout: Node Performance and Energy Analysis with the Sniper Multi-Core Simulator.- Alvaro Aguilera, Holger Mickler, Julian Kunkel, Michaela Zimmer, Marc Wiedemann, Ralph Müller-Pfefferkorn: A Comparison of Trace Compression Methods for Massively Parallel Applications in Context of the SIOX Project.- Zakaria Bendifallah, William Jalby, José Noudohouenou, Emmanuel Oseret, and Vincent Palomares: PAMDA: Performance Assessment using MAQAO Toolset and Differential Analysis.
Erscheint lt. Verlag | 24.10.2014 |
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Zusatzinfo | VIII, 127 p. 67 illus., 53 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Mathematik / Informatik ► Mathematik ► Analysis | |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Schlagworte | High Performance Computing • Parallel Processing • Software Tools |
ISBN-10 | 3-319-08143-8 / 3319081438 |
ISBN-13 | 978-3-319-08143-4 / 9783319081434 |
Zustand | Neuware |
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