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"Accurate and Reliable Energy Measurement and Modelling of Data Transfer Between CPU and GPU in Parallel Applications on Heterogeneous Hybrid Platforms",
IEEE Transactions on Computers, vol. 74, issue 3, pp. 1011--1024, 03/2025.
Download: Accurate_and_Reliable_Energy_Measurement_and_Modelling_of_Data_Transfer_Between_CPU_and_GPU_in_Parallel_Applications_on_Heterogeneous_Hybrid_Platforms.pdf (853.36 KB); supplemental_r2.pdf (2.05 MB)
"OpenH: A Novel Programming Model and API for Developing Portable Parallel Programs on Heterogeneous Hybrid Servers",
IEEE Access, vol. 12, pp. 23666--23694, 02/2024.
Download: OpenH.pdf (2.4 MB)
"SUARA: A scalable universal allreduce communication algorithm for acceleration of parallel deep learning applications",
Journal of Parallel and Distributed Computing, vol. 183, pp. 15, 01/2024.
Download: jpdc-suara.pdf (2.46 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-Efficient Parallel Computing: Challenges to Scaling",
Information, vol. 14, issue 4, pp. 1--29, 04/2023.
Download: information-14-00248.pdf (1.53 MB)
"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)
"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)
"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)
"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)
"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)
"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 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)
"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)
"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)
"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)
"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)
"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)
"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)
"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)
"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)
"Optimization of Multithreaded Data-parallel Applications on Modern Multicore CPUs For Performance and Energy Using Application-level Decision Variables",
School of Computer Science, Dublin, University College Dublin, pp. 181, 09/2019.
Download: PhD_Thesis_Semyon_Khokhriakov.pdf (8.7 MB); thesis-summary.pdf (621.98 KB)
"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)
"A Comparative Study of Methods for Measurement of Energy of Computing",
Energies, vol. 12, issue 11: MDPI, pp. 42, 06/2019.
"Energy aware ultrascale systems",
Ultrascale computing systems: IET, 03/2019.
Download: chap5.pdf (3.2 MB)
