Tools for high performance computing...
Niethammer, Christoph.

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  • Tools for high performance computing 2014 = proceedings of the 8th International Workshop on Parallel Tools for High Performance Computing, October 2014, HLRS, Stuttgart, Germany /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    正題名/作者: Tools for high performance computing 2014/ edited by Christoph Niethammer ... [et al.].
    其他題名: proceedings of the 8th International Workshop on Parallel Tools for High Performance Computing, October 2014, HLRS, Stuttgart, Germany /
    其他作者: Niethammer, Christoph.
    出版者: Cham :Springer International Publishing : : 2015.,
    面頁冊數: x, 229 p. :ill., digital ;24 cm.
    內容註: Ilya Zhukov, Christian Feld, Markus Geimer, Michael Knobloch, Bernd Mohr and Pavel Saviankou: Scalasca v2: Back To The Future -- Christopher January, Jonathan Byrd, Xavier Oro, and Mark O'Connor: Allinea MAP: Adding Energy and OpenMP Profiling Without Increasing Overhead -- Zhen Li, Rohit Atre, Zia Ul-Huda, Ali Jannesari, and Felix Wolf: DiscoPoP: A Profiling Tool to Identify Parallelization Opportunities -- Vladimir Subotic, Arturo Campos, Alejandro Velasco, Eduard Ayguade, Jesus Labarta, and Mateo Valero: Tareador: The Unbearable Lightness of Exploring Parallelism -- Isaias A. Compres Urena, and Michael Gerndt: Tuning Plugin Development for the Periscope Tuning Framework -- Thomas Ilsche, Joseph Schuchart, Robert Schone and Daniel Hackenberg: Combining Instrumentation and Sampling for Trace-based Application Performance Analysis -- Damien Dosimont, Youenn Corre, Lucas Mello Schnorr, Guillaume Huard and Jean-Marc Vincent: Ocelotl: Large Trace Overviews Based on Multidimensional Data Aggregation -- Felix Schmitt, Robert Dietrich and Jonas Stolle: Integrating Critical-Blame Analysis for Heterogeneous Applications into the Score-P Workflow -- German Llort, Harald Servat, Juan Gonzalez, Judit Gimenez and Jesus Labarta: Studying Performance Changes with Tracking Analysis -- Martin Schulz, Abhinav Bhatele, David Bohme1, Peer-Timo Bremer, Todd Gamblin, Alfredo Gimenez and Kate Isaacs: A Flexible Data Model to Support Multi-Domain Performance Analysis.
    Contained By: Springer eBooks
    標題: High performance computing - Congresses. -
    電子資源: http://dx.doi.org/10.1007/978-3-319-16012-2
    ISBN: 9783319160122 (electronic bk.)
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W9273508 電子資源 11.線上閱覽_V 電子書 EB QA76.88 .I61 2014 一般使用(Normal) 在架 0
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