1. A multivariate and quantitative model for predicting cross-application interference in virtual environments;Alves;J. Syst. Softw.,2017
2. Amer, A., Balaji, P., Bland, W., Gropp, W., Guo, Y., Latham, R., Lu, H., Oden, L., Pena, A. J., Raffenetti, K., Seo, S., Si, M., Thakur, R., Zhang, J., Zhao, X., November 10, 2017. MPICH Users Guide. Mathematics and Computer Science Division, Argonne National Laboratory.
3. Resilient co-scheduling of malleable applications;Benoit;Int. J. High Perform. Comput. Appl.,2018
4. Bez, J. L., Boito, F. Z., Schnorr, L. M., Navaux, P. O. A., Mhaut, J., 2017. Twins: Server access coordination in the I/O forwarding layer. In: Proceedings of the 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), pp. 116–123. doi:10.1109/PDP.2017.61.
5. Blazewicz, J., Machowiak, M., Mounie, G., Trystram, D., 2001. Approximation algorithms for scheduling independent malleable tasks. Proceedings of the Euro-Par 2001 Parallel Processing, 191–197.