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"The 27th International Heterogeneity in Computing Workshop and the 16th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms",
Concurrency and Computation: Practice and Experience, vol. 32, issue 15: Wiley, pp. 3, 03/2020.
Download: cpe.5736.pdf (169.99 KB)
"Acceleration of Bi-Objective Optimization of Data-Parallel Applications for Performance and Energy on Heterogeneous Hybrid Platforms",
IEEE Access, vol. 11: IEEE, pp. 27226-27245, 03/2023.
Download: Access-2023-acceleration.pdf (1.28 MB)
"Accurate Component-level Energy Modelling of Parallel Applications on Modern Heterogeneous Hybrid Computing Platforms using System-level Measurements",
School of Computer Science, Dublin, University College Dublin, pp. 198, 12/2020.
Download: thesis-fahad.pdf (3.49 MB)
"Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms using System-Level Measurements",
IEEE Access, vol. 8, pp. 93793 - 93829, 06/2020.
Download: 09094309.pdf (2.89 MB)
"Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution",
IEEE Transactions on Parallel and Distributed Systems, vol. 32, issue 3: IEEE, pp. 543-560, 03/2021.
Download: tpds-2021-32-3-09207974.pdf (1.58 MB)
"A Comparative Study of Methods for Measurement of Energy of Computing",
Energies, vol. 12, issue 11: MDPI, pp. 42, 06/2019.
"A Comparative Study of Techniques for Energy Predictive Modeling Using Performance Monitoring Counters on Modern Multicore CPUs",
IEEE Access, vol. 8: IEEE, pp. 143306 - 143332, 08/2020.
Download: IEEE-Access-09154439.pdf (2.37 MB)
"Design of self-adaptable data parallel applications on multicore clusters automatically optimized for performance and energy through load distribution",
Concurrency and Computation: Practice and Experience, vol. 31, issue 4: Wiley, 02/2019.
Download: ccpe2018ravi.pdf (1.67 MB)
"Efficient and Accurate Selection of Optimal Collective Communication Algorithms Using Analytical Performance Modeling",
IEEE Access, vol. 9: IEEE, pp. 109355 - 109373, 07/2021.
Download: Efficient_and_Accurate_Selection_of_Optimal_Collective_Communication_Algorithms_Using_Analytical_Performance_Modeling.pdf (6.95 MB)
"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)
"Efficient exact algorithms for continuous bi-objective performance-energy optimization of applications with linear energy and monotonically increasing performance profiles on heterogeneous high performance computing platforms",
Concurrency and Computation: Practice and Experience, vol. 35, issue 20: Wiley, pp. 1--19, 09/2023.
Download: Concurrency and Computation - 2022 - Khaleghzadeh - Efficient exact algorithms for continuous bi‐objective.pdf (1.58 MB)
"Energy aware ultrascale systems",
Ultrascale computing systems: IET, 03/2019.
Download: chap5.pdf (3.2 MB)
"Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors",
IEEE Access, vol. 9: IEEE, pp. 63149 - 63172, 04/2021.
Download: IEEE_Access_2021_Energy_theory.pdf (2.11 MB)
"Energy-Efficient Parallel Computing: Challenges to Scaling",
Information, vol. 14, issue 4, pp. 1--29, 04/2023.
Download: information-14-00248.pdf (1.53 MB)
"A Hierarchical Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous Multi-Accelerator NUMA Nodes",
IEEE Access, vol. 8: IEEE, pp. 7861 - 7876, 01/2020.
Download: 08933138.pdf (3.4 MB)
"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)
"Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables",
Journal of Parallel and Distributed Computing, vol. 151: Elsevier, pp. 38-51, 05/2021.
Download: jpdc-2021-151.pdf (1.4 MB)
"Improving the Accuracy of Energy Predictive Models for Multicore CPUs Using Additivity of Performance Monitoring Counters",
15th International Conference on Parallel Computing Technologies (PaCT-2019), Almaty, Kazakhstan, Lecture Notes in Computer Science 11657, Springer, pp. 51-66, 08/2019.
Download: PaCT2019.pdf (370.4 KB)
"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)
"Multicore processor computing is not energy proportional: An opportunity for bi-objective optimization for energy and performance",
Applied Energy, vol. 268, pp. 18, 06/2020.
Download: paper_r2.pdf (1.38 MB)
"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)
"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)
"A novel data partitioning algorithm for dynamic energy optimization on heterogeneous high-performance computing platforms",
Concurrency and Computation: Practice and Experience, vol. 33, issue 21: Wiley, pp. e5928, 07/2020.
Download: CCPE-2020-dynamic-energy.pdf (1.34 MB)
"Novel Data-Partitioning Algorithms for Performance and Energy Optimization of Data-Parallel Applications on Modern Heterogeneous HPC Platforms",
School of Computer Science, Dublin, University College Dublin, pp. 264, 03/2019.
Download: thesis-hamid.pdf (5.9 MB)
"A Novel Statistical Learning-Based Methodology for Measuring the Goodness of Energy Profiles of Applications Executing on Multicore Computing Platforms",
Energies, vol. 13, issue 15: MDPI, pp. 22, 08/2020.
Download: energies-13-03944.pdf (4.08 MB); supplemental.pdf (188.52 KB)
