Tools for High Performance Computing 2014

Tools for High Performance Computing 2014

Proceedings of the 8th International Workshop on Parallel Tools for High Performance Computing, October 2014, HLRS, Stuttgart, Germany

Knuepfer, Andreas; Gracia, Jose; Niethammer, Christoph; Resch, Michael M.; Nagel, Wolfgang E.

Springer International Publishing AG

10/2016

229

Mole

Inglês

9783319367576

15 a 20 dias

503

Descrição não disponível.
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 Schoene 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 Boehme1, Peer-Timo Bremer, Todd Gamblin, Alfredo Gimenez and Kate Isaacs: A Flexible Data Model to Support Multi-Domain Performance Analysis.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
debugging;performance analysis;software optimization;supercomputing;tools for parallel programming