Using adaptive runtime filtering to support an event-based performance analysis-Reference-Cited by-同舟云学术

Using adaptive runtime filtering to support an event-based performance analysis

Published:2017-02-24 Issue:7 Volume:29 Page:e4094
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Stolle Jonas¹^ORCID,Wagner Michael¹²,Doleschal Jens¹,Schmitt Felix¹³,Brunst Holger¹

Affiliation:

1. Center for Information Services and High Performance Computing (ZIH); Technische Universität Dresden; Dresden 01062 Germany

2. Barcelona Supercomputing Center (BSC); Barcelona 08034 Spain

3. NVIDIA; Santa Clara 95050 CA USA

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.4094/fullpdf

Reference37 articles.

1. Top500 Top 500 supercomputer sites 2016 http://www.top500.org/

2. Bergman K Borkar S Campbell D Carlson W Dally W Denneau M Franzon P Harrod W Hiller J Karp S et al. ExaScale Computing Study: Technology Challenges in Achieving Exascale Systems 2008

3. Wagner M Doleschal J Knüpfer A Tracing Long Running Applications: A Case Study Using Gromacs High Performance Computing Simulation (HPCS), 2015 International Conference on Amsterdam, Netherlands 2015 129 136

4. The Vampir Performance Analysis Tool-Set

5. Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir

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1. Foreword to the special issue of the 18th IEEE international conference on computational science and engineering (CSE2015);Concurrency and Computation: Practice and Experience;2017-03-07