Publications

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2021
Nuriyev, E., "Efficient and accurate selection of optimal MPI collective algorithms using analytical performance modelling", School of Computer Science, Dublin, University College Dublin, pp. 130, 06/2021.  Download: thesis.pdf (2.21 MB)
Nuriyev, E., and A. Lastovetsky, "A New Model-Based Approach to Performance Comparison of MPI Collective Algorithms", 16th International Conference on Parallel Computing Technologies (PaCT 2021), Kaliningrad, Russia, Lecture Notes in Computer Science 12942, Springer, pp. 11-25, 09/2021.  Download: Nuriyev-Lastovetsky2021_Chapter_ANewModel-BasedApproachToPerfo.pdf (623.78 KB)
2022
Nuriyev, E., J. - A. Rico-Gallego, and A. Lastovetsky, "Model-based selection of optimal MPI broadcast algorithms for multi-core clusters", Journal of Parallel and Distributed Computing, vol. 165: Elsevier, pp. 1-16, 07/2022.  Download: 1-s2.0-S0743731522000697-main.pdf (988.38 KB)
Manumachu, R. R., and A. Lastovetsky, "On Energy Nonproportionality of CPUs and GPUs", 31st Heterogeneity in Computing Workshop (HCW 2022), Lyon, France, IEEE, pp. 34-44, 30/05/2022.  Download: On_Energy_Nonproportionality_of_CPUs_and_GPUs.pdf (1.03 MB)
Khaleghzadeh, H., R. R. Manumachu, and A. Lastovetsky, "A Novel Algorithm for Bi-objective Performance-Energy Optimization of Applications with Continuous Performance and Linear Energy Profiles on Heterogeneous HPC Platforms", 19th Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar 2021), Lisbon, Portugal, Lecture Notes in Computer Science, vol. 13098, Springer, pp. 166-178, 31/08/2021, 2022.  Download: Khaleghzadeh2022_Chapter_ANovelAlgorithmForBi-objective.pdf (1.07 MB)