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"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 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)
"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)
"A tool to assess the communication cost of parallel kernels on heterogeneous platforms",
The Journal of Supercomputing, vol. 76: Springer, pp. 4629–4644, 06/2020.
"A Survey of Communication Performance Models for High-Performance Computing",
ACM Computing Surveys, vol. 51, issue 6: ACM, 01/2019.
"Parallel Data Partitioning Algorithms for Optimization of Data-Parallel Applications on Modern Extreme-Scale Multicore Platforms for Performance and Energy",
IEEE Access, vol. 6: IEEE, pp. 69075-69106, 11/2018.
Download: IEEEAccess2018PDPA.pdf (3.04 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)
"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)
"Energy aware ultrascale systems",
Ultrascale computing systems: IET, 03/2019.
Download: chap5.pdf (3.2 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)
"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)
"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)
"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)
"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)
"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)
"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)
"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)
"Towards Optimal Matrix Partitioning for Data Parallel Computing on a Hybrid Heterogeneous Server",
IEEE Access, vol. 9: IEEE, pp. 17229 - 17244, 02/2021.
Download: IEEE-Access-09328411.pdf (3.76 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)
"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)
"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)
"Performance Optimization of Multithreaded 2D Fast Fourier Transform on Multicore Processors Using Load Imbalancing Parallel Computing Method",
IEEE Access, vol. 6: IEEE, pp. 64202-64224, 10/2018.
Download: ACCESS2878271.pdf (2.78 MB)
"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)
