Bibliographic Details
| Title: |
P runers : Providing reproducibility for uncovering non-deterministic errors in runs on supercomputers. |
| Authors: |
Sato, Kento1,2 (AUTHOR) kento.sato@riken.jp, Laguna, Ignacio1 (AUTHOR), Lee, Gregory L1 (AUTHOR), Schulz, Martin3 (AUTHOR), Chambreau, Christopher M1 (AUTHOR), Atzeni, Simone4,5 (AUTHOR), Bentley, Michael4 (AUTHOR), Gopalakrishnan, Ganesh4 (AUTHOR), Rakamaric, Zvonimir4 (AUTHOR), Sawaya, Geof6 (AUTHOR), Protze, Joachim7 (AUTHOR), Ahn, Dong H1 (AUTHOR), Mascagni, Michael (AUTHOR) |
| Source: |
International Journal of High Performance Computing Applications. Sep2019, Vol. 33 Issue 5, p777-783. 7p. |
| Subjects: |
Supercomputers, Debugging, Running, Deterministic algorithms |
| Abstract: |
Large scientific simulations must be able to achieve the full-system potential of supercomputers. When they tap into high-performance features, however, a phenomenon known as non-determinism may be introduced in their program execution, which significantly hampers application development. P runers is a new toolset to detect and remedy non-deterministic bugs and errors in large parallel applications. To show the capabilities of P runers for large application development, we also demonstrate their early usage on real-world production applications. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
