Relating memory performance data to application domain data using an integration API

Author:

Husain Benafsh,Giménez Alfredo,Levine Joshua A.,Gamblin Todd,Bremer Peer-Timo

Funder

National Science Foundation

Publisher

ACM Press

Reference11 articles.

1. Hydrodynamics Challenge Problem, Lawrence Livermore National Laboratory. Technical Report LLNLTR-490254.

2. M. Adams et al.Package for AMR Applications - Design Document, Lawrence Berkeley National Laboratory Technical Report LBNL-6616E.

3. Alfredo Giménez, Todd Gamblin, Barry Rountree, Abhinav Bhatele, Ilir Jusufi, Peer-Timo Bremer, and Bernd Hamann. Dissecting on-node memory access performance: A semantic approach. InProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC '14, pages 166--176, Piscataway, NJ, USA, 2014. IEEE Press.

4. Hank Childs. Visit: An end-user tool for visualizing and analyzing very large data. 2013.

5. Nick Rutar and Jeffrey K. Hollingsworth. Data centric techniques for mapping performance data to program variables.Parallel Computing, 38(1-2):2--14, 2012. Extensions for Next-Generation Parallel Programming Models.

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1. Projecting Performance Data over Simulation Geometry Using SOSflow and ALPINE;Programming and Performance Visualization Tools;2019

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