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Towards providing low-overhead data race detection for large OpenMP applications.

J. Protze, S. Atzeni, D. Ahn, M. Schulz, G. Gopalakrishnan, M. Müller, I. Laguna, Z. Rakamaric, and G. Lee. LLVM@SC, page 40-47. IEEE Computer Society, (2014)

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John Ahn

Hyewon Ahn

Yongpal Ahn

Jochen Ahn

Rolf Ahn

Other publications of authors with the same name

Multi-level analysis of compiler induced variability and performance tradeoffs.M. Bentley, I. Briggs, G. Gopalakrishnan, D. Ahn, I. Laguna, G. Lee, and H. Jones. CoRR, (2018)Workflows Community Summit: Bringing the Scientific Workflows Community Together.R. da Silva, H. Casanova, K. Chard, D. Laney, D. Ahn, S. Jha, C. Goble, L. Ramakrishnan, J. Peterson, B. Enders and 35 other author(s). CoRR, (2021)It's a Scheduling Affair: GROMACS in the Cloud with the KubeFlux Scheduler.C. Misale, M. Drocco, D. Milroy, C. Gutierrez, S. Herbein, D. Ahn, and Y. Park. CANOPIE-HPC@SC, page 10-16. IEEE, (2021)Reproducing and Extending Analytical Performance Models of Generalized Hierarchical Scheduling.J. Lüttgau, S. Caíno-Lores, K. Suarez, D. Ahn, S. Herbein, and M. Taufer. e-Science, page 450-455. IEEE, (2022)Probabilistic diagnosis of performance faults in large-scale parallel applications.I. Laguna, D. Ahn, B. de Supinski, S. Bagchi, and T. Gamblin. PACT, page 213-222. ACM, (2012)Scalable analysis techniques for microprocessor performance counter metrics.D. Ahn, and J. Vetter. SC, page 12:1-12:16. IEEE Computer Society, (2002)An Optimal Algorithm for Extreme Scale Job Launching.J. Goehner, T. Groves, D. Arnold, D. Ahn, and G. Lee. TrustCom/ISPA/IUCC, page 1115-1122. IEEE Computer Society, (2013)SWORD: A Bounded Memory-Overhead Detector of OpenMP Data Races in Production Runs.S. Atzeni, G. Gopalakrishnan, Z. Rakamaric, I. Laguna, G. Lee, and D. Ahn. IPDPS, page 845-854. IEEE Computer Society, (2018)A three-phase workflow for general and expressive representations of nondeterminism in HPC applications.D. Chapp, D. Rorabaugh, K. Sato, D. Ahn, and M. Taufer. Int. J. High Perform. Comput. Appl., (2019)Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models.S. Jacobs, T. Moon, K. McLoughlin, D. Jones, D. Hysom, D. Ahn, J. Gyllenhaal, P. Watson, F. Lightstone, J. Allen and 2 other author(s). Int. J. High Perform. Comput. Appl., (2021)

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Disambiguation of "Ahn, Dong H."

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Towards providing low-overhead data race detection for large OpenMP applications.

Please choose a person to relate this publication to

John Ahn

Hyewon Ahn

Yongpal Ahn

Jochen Ahn

Rolf Ahn

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ahn, Dong H."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Towards providing low-overhead data race detection for large OpenMP applications.

Please choose a person to relate this publication to

John Ahn

Hyewon Ahn

Yongpal Ahn

Jochen Ahn

Rolf Ahn

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Towards providing low-overhead data race detection for large OpenMP applications.