Tools for High Performance Computing 2013 : Proceedings of the 7th International Workshop on Parallel Tools for High Performance Computing, September 2013, ZIH, Dresden, Germany / edited by Andreas Knüpfer, José Gracia, Wolfgang E. Nagel, Michael M. Resch.

Format:

Book

Conference/Event

Contributor:

Knüpfer, Andreas, Editor.

Gracia, J. (Jose), Editor.

Nagel, Wolfgang E., Editor.

Resch, Michael M., Editor.

Conference Name:

International Workshop on Parallel Tools for High Performance Computing (7th : 2013 : Dresden, Germany)

Language:

English

Subjects (All):

Mathematics--Data processing.

Mathematics.

Electronic digital computers--Evaluation.

Electronic digital computers.

Application software.

Computational Science and Engineering.

System Performance and Evaluation.

Computer and Information Systems Applications.

Local Subjects:

Computational Science and Engineering.

System Performance and Evaluation.

Computer and Information Systems Applications.

Physical Description:

1 online resource (130 p.)

Edition:

1st ed. 2014.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2014.

Language Note:

English

Summary:

Current advances in High Performance Computing (HPC) increasingly impact efficient software development workflows. Programmers for HPC applications need to consider trends such as increased core counts, multiple levels of parallelism, reduced memory per core, and I/O system challenges in order to derive well performing and highly scalable codes. At the same time, the increasing complexity adds further sources of program defects. While novel programming paradigms and advanced system libraries provide solutions for some of these challenges, appropriate supporting tools are indispensable. Such tools aid application developers in debugging, performance analysis, or code optimization and therefore make a major contribution to the development of robust and efficient parallel software. This book introduces a selection of the tools presented and discussed at the 7th International Parallel Tools Workshop, held in Dresden, Germany, September 3-4, 2013. .

Contents:

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 Mijaković, 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.

Notes:

Description based upon print version of record.

Includes bibliographical references at the end of each chapters.

ISBN:

3-319-08144-6

OCLC:

893479261