Publications

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2022
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)
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)
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)
2021
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)
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)
2020
Malik, T., and A. Lastovetsky, "Optimal Matrix Partitioning for Data Parallel Computing on Hybrid Heterogeneous Platforms", 19th International Symposium on Parallel and Distributed Computing (ISPDC), Warsaw, Poland, IEEE, 5-8 July, 2020.  Download: ispdc2020.pdf (367.16 KB)
Khaleghzadeh, H., M. Fahad, R. Reddy, and A. Lastovetsky, "Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Dynamic Energy Through Workload Distribution", 17th Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar 2019), Gottingen, Germany, Lecture Notes in Computer Science, vol. 11997, Springer, 08/2019, 2020.  Download: Khaleghzadeh2020_Chapter_OptimizationOfData-ParallelApp.pdf (692.31 KB)
2019
Lastovetsky, A., M. Fahad, H. Khaleghzadeh, S. Khokhriakov, R. Reddy, A. Shahid, L. Szustak, and R. Wyrzykowski, "How Pre-multicore Methods and Algorithms Perform in Multicore Era", High Performance Computing. ISC High Performance 2018. Lecture Notes in Computer Science, vol 11203, Frankfurt, Springer Nature, pp. 527-539, 24-26 June, 2018, 2019.  Download: nesus-isc-paper.pdf (574.34 KB)
Patton, S., H. Khaleghzadeh, R. Reddy, and A. Lastovetsky, "SummaGen: Parallel Matrix-Matrix Multiplication Based on Non-rectangular Partitions for Heterogeneous HPC Platforms", 28th Heterogeneity in Computing Workshop (HCW 2019), Rio de Janeiro, Brazil, IEEE, 20/05/2019.  Download: hcw2019.pdf (673.25 KB)