]
"HeteroMPI + ScaLAPACK: Towards a ScaLAPACK (Dense Linear Solvers) on Heterogeneous Networks of Computers",
Proceedings of the 13th IEEE International Conference on High Performance Computing (HiPC 2006), vol. 4297, Bangalore, India, Springer, pp. 242-253, 18-21 Dec 2006.
Download: 1161251345946.pdf (202.11 KB)
"HMPI: A Message-Passing Library for Heterogeneous Networks of Computers",
Computer Science Department, Dublin, University College Dublin, pp. 456, 06/2005.
Download: Ravi_thesis.pdf (1.89 MB)
"Heterogeneous PBLAS: Optimization of PBLAS for Heterogeneous Computational Clusters",
7th International Symposium on Parallel and Distributed Computing, Krakow, Poland, pp. 73-80, Jul 1-5, 2008.
Abstract
Download: ispdc_rreddy_HeteroPBLAS.pdf (268.49 KB)
"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)
Heterogeneous PBLAS: A Set of Parallel Basic Linear Algebra Subprograms for Heterogeneous Computational Clusters,
: School of Computer Science and Informatics, University College Dublin, pp. 19, 04/2008.
Abstract
Download: UCD-CSI-2008-2-HeteroPBLAS.pdf (111.71 KB)
"Scalable Dense Factorizations for Heterogeneous Computational Clusters",
7th International Symposium on Parallel and Distributed Computing, Krakow, Poland, pp. 49-56, Jul 1-5, 2008.
Abstract
Download: ispdc_rreddy_scalable_factorizations.pdf (262.74 KB)
"HeteroPBLAS: A Set of Parallel Basic Linear Algebra Subprograms Optimized for Heterogeneous Computational Clusters",
Scalable Computing: Practice and Experience, vol. 10, issue 2, pp. 201-216, 06/2009.
Download: SCPE_10_2_06.pdf (248.74 KB)
"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)
"Bi-Objective Optimization of Data-Parallel Applications on Homogeneous Multicore Clusters for Performance and Energy",
IEEE Transactions on Computers, vol. 67, issue 2: IEEE, pp. 160-177, 02/2018.
Download: paperfinal.pdf (1.16 MB)
"Hierarchical Parallel Matrix Multiplication on Large-Scale Distributed Memory Platforms",
42nd International Conference on Parallel Processing (ICPP 2013), Lyon, France, IEEE, pp. 754-762, 1-4 October, 2013.
Download: 06687414.pdf (480.2 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)
"Energy aware ultrascale systems",
Ultrascale computing systems: IET, 03/2019.
Download: chap5.pdf (3.2 MB)
"Communication Performance Models for Heterogeneous Computational Clusters",
School of Computer Science and Informatics, Dublin, University College Dublin, pp. 115, 06/2009.
Download: moflynn-ethesis.pdf (925.45 KB)
"Towards Application Energy Measurement and Modelling Tool Support",
13th International Conference on Parallel Computing Technologies (PaCT-2015), Petrozavodsk, Russia, Lecture Notes in Computer Science 9251, Springer, pp. 91-101, 31 Aug - 4 Sept, 2015.
Download: pact2015energy.pdf (383.55 KB)
"A Survey of Power and Energy Predictive Models in HPC Systems and Applications",
ACM Computing Surveys, vol. 50, issue 3: ACM, 10/2017.
Download: surveypowerenergymodelshpc.pdf (578.85 KB)
"Application level energy measurements and models for hybrid platform with accelerators",
School of Computer Science, Dublin, University College Dublin, pp. 165, 05/2018.
Download: thesis.pdf (1.61 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)
"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)
"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)
"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)
"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)
"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)
"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)
