Data centric techniques for mapping performance data to program variables

Author:

Rutar Nick,Hollingsworth Jeffrey K.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference19 articles.

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4. Efficient management of parallelism in object oriented numerical software libraries;Balay,1997

5. An API for runtime code patching;Buck;Int. J. High Perform. Comput. Appl.,2000

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1. Understanding the Performance of GPGPU Applications from a Data-Centric View;2019 IEEE/ACM International Workshop on Programming and Performance Visualization Tools (ProTools);2019-11

2. ChplBlamer;Proceedings of the 2018 International Conference on Supercomputing;2018-06-12

3. Toward a Data-centric Profiler for PGAS Applications;2015 9th International Conference on Partitioned Global Address Space Programming Models;2015-09

4. Relating memory performance data to application domain data using an integration API;Proceedings of the 2nd Workshop on Visual Performance Analysis - VPA '15;2015

5. Dissecting On-Node Memory Access Performance: A Semantic Approach;SC14: International Conference for High Performance Computing, Networking, Storage and Analysis;2014-11

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