Publications

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Lastovetsky, A., X. Zuo, and P. Zhao, "A Non-Intrusive and Incremental Approach to Enabling Direct Communications in RPC-based Grid Programming Systems", Computational Science - ICCS 2006: 6th International Conference, Reading, UK, May 28-31, 2006, Proceedings, Part III, vol. 3993: Springer Berlin / Heidelberg, pp. 1008-1011, 2006.  Download: WSES06.pdf (120.33 KB)
Zuo, X., "Non-intrusive and incremental evolution of Grid programming systems", School of Computer Science and Informatics, Dublin, Ireland, University College Dublin, pp. 124, 03/2011.  Download: xin_thesis_final.pdf (1.74 MB)
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)
Lastovetsky, A., and R. Reddy, "A Novel Algorithm of Optimal Matrix Partitioning for Parallel Dense Factorization on Heterogeneous Processors", Proceedings of the 9th International Conference on Parallel Computing Technologies (PaCT 2007), vol. 4671, Pereslavl-Zalessky, Russia, Springer, pp. 261-275, 3-7 September, 2007.  Download: 1182174947076.pdf (305.56 KB)
Khaleghzadeh, H., R. Reddy, and A. Lastovetsky, "A Novel Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms", IEEE Transactions on Parallel and Distributed Systems, vol. 29, issue 10: IEEE, pp. 2176-2190, 10/2018.  Download: paper_r2.pdf (1.49 MB); tpds2018hpoptasuppl.pdf (3.4 MB)
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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)
Lastovetsky, A., "On Grid-based Matrix Partitioning for Heterogeneous Processors", Proceedings of the 6th International Symposium on Parallel and Distributed Computing (ISPDC 2007), Hagenberg, Austria, IEEE Computer Society, pp. 383-390, 5-8 July 2007.  Download: 1183978187354.pdf (233.09 KB)
Lastovetsky, A., and R. Reddy, "On Performance Analysis of Heterogeneous Parallel Algorithms", Parallel Computing, vol. 30, issue 11, pp. 1195-1216, 2004.  Download: ParCom2004_hetero_perf.pdf (750.84 KB)
DeFlumere, A., and A. Lastovetsky, "Optimal Data Partitioning Shape for Matrix Multiplication on Three Fully Connected Heterogeneous Processors", 12th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar'2014), Porto, Portugal, 25 August, 2014.  Download: heteropar2014.pdf (772.84 KB)
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)
DeFlumere, A., "Optimal Partitioning for Parallel Matrix Computation on a Small Number of Abstract Heterogeneous Processors", School of Computer Science and Informatics, Dublin, University College Dublin, pp. 161, 09/2014. Abstract  Download: AshleyPhDThesis.pdf (3.22 MB)
Dichev, K., and A. Lastovetsky, "Optimization of collective communication for heterogeneous HPC platforms", High-Performance Computing on Complex Environments: Wiley, pp. 95-114, 2014.  Download: coll-comm-complexhpc2013.pdf (334.71 KB)
Lastovetsky, A., M. O'Flynn, and V. Rychkov, "Optimization of Collective Communications in HeteroMPI", 14th European PVM/MPI User's Group Meeting, vol. 4757, Paris, France, Springer-Verlag Berlin Heidelberg, pp. 135-143, Sept 30 - Oct 3, 2007.  Download: fulltext.pdf (467.59 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)
Zhong, Z., "Optimization of Data-Parallel Scientific Applications on Highly Heterogeneous Modern HPC Platforms", School of Computer Science and Informatics, Dublin, University College Dublin, pp. 142, 08/2014. Abstract  Download: ziming_thesis.pdf (1.06 MB)
Khaleghzadeh, H., Z. Zhong, R. Reddy, and A. Lastovetsky, "Out-of-core Implementation for Accelerator Kernels on Heterogeneous Clouds", The Journal of Supercomputing, vol. 74, issue 2, pp. 551-568, 2018.  Download: paper.pdf (762.34 KB)
Dongarra, J., and A. Lastovetsky, "An Overview of Heterogeneous High Performance and Grid Computing", Engineering the Grid: Status and Perspective: American Scientific Publishers, February 2006.  Download: ASP_Overview2006.pdf (199.93 KB)
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Alonso, P., A. Lastovetsky, and A. Vidal, "A Parallel Algorithm for the Solution of the Deconvolution Problem on Heterogeneous Networks", Proceedings of the 8th IEEE International Conference on Cluster Computing (Cluster 2006), Barcelona, Spain, IEEE Computer Society, 25-28 Sept 2006.  Download: 1159786470990.pdf (127.63 KB)