Publications

Export 34 results:
Sort by: Author Title [ Type  (Asc)] Year
Filters: Author is Alexey Lastovetsky  [Clear All Filters]
Book Chapter
Conference Paper
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)
Shahid, A., M. Fahad, R. Reddy, and A. Lastovetsky, "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)
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)
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)
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)
Khokhriakov, S., R. Reddy, and A. Lastovetsky, "Performance Optimization of Multithreaded 2D FFT on Multicore Processors: Challenges and Solution Approaches", IEEE 25th International Conference on High Performance Computing Workshops (HiPCW), Bengaluru, India, IEEE, pp. 8-17, 17-20 Dec, 2018.  Download: paper.pdf (1.33 MB)
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)
Journal Article
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)