Extending parallel programming patterns with adaptability features
Author:
Funder
Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10586-024-04622-0.pdf
Reference63 articles.
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2. Gill, S.S., Wu, H., Patros, P., Ottaviani, C., Arora, P., Pujol, V.C., Haunschild, D., Parlikad, A.K., Cetinkaya, O., Lutfiyya, H., Stankovski, V., Li, R., Ding, Y., Qadir, J., Abraham, A., Ghosh, S.K., Song, H.H., Sakellariou, R., Rana, O., Rodrigues, J.J., Kanhere, S.S., Dustdar, S., Uhlig, S., Ramamohanarao, K., Buyya, R.: Modern computing: vision and challenges. Telemat. Inform. Rep. 13, 100116 (2024)
3. Martín-Álvarez, I., Aliaga, J.I., Castillo, M., Iserte, S., Mayo, R.: Dynamic spawning of mpi processes applied to malleability. Int. J. High Perform. Comput. Appl. (2023). https://doi.org/10.1177/10943420231176527
4. Sena, A. C., Ribeiro, F. S., Rebello, V. E., Nascimento, A. P., Boeres, C.: Autonomic malleability in iterative mpi applications. In: 2013 25th International Symposium on Computer Architecture and High Performance Computing. pp. 192–199 (2013)
5. Kehrer, S., Blochinger, W.: Migrating parallel applications to the cloud: assessing cloud readiness based on parallel design decisions. SICS Softw.-Intensive Cyber-Phys. Syst. 34(2–3), 73–84 (2019). https://doi.org/10.1007/s00450-019-00396-8
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