| Data partitioning with a functional performance model of heterogeneous processors A Lastovetsky, R Reddy The International Journal of High Performance Computing Applications 21 (1 …, 2007 | 113 | 2007 |
| A survey of power and energy predictive models in HPC systems and applications K O’brien, I Pietri, R Reddy, A Lastovetsky, R Sakellariou ACM Computing Surveys (CSUR) 50 (3), 1-38, 2017 | 105 | 2017 |
| HeteroMPI: Towards a message-passing library for heterogeneous networks of computers A Lastovetsky, R Reddy Journal of Parallel and Distributed Computing 66 (2), 197-220, 2006 | 86 | 2006 |
| New model-based methods and algorithms for performance and energy optimization of data parallel applications on homogeneous multicore clusters A Lastovetsky, RR Manumachu IEEE Transactions on Parallel and Distributed Systems 28 (4), 1119-1133, 2016 | 75 | 2016 |
| A comparative study of methods for measurement of energy of computing M Fahad, A Shahid, RR Manumachu, A Lastovetsky Energies 12 (11), 2204, 2019 | 71 | 2019 |
| Bi-objective optimization of data-parallel applications on homogeneous multicore clusters for performance and energy RR Manumachu, A Lastovetsky IEEE Transactions on Computers 67 (2), 160-177, 2017 | 70 | 2017 |
| Data partitioning with a realistic performance model of networks of heterogeneous computers A Lastovetsky, R Reddy 18th International Parallel and Distributed Processing Symposium, 2004 …, 2004 | 66 | 2004 |
| A novel data-partitioning algorithm for performance optimization of data-parallel applications on heterogeneous HPC platforms H Khaleghzadeh, RR Manumachu, A Lastovetsky IEEE Transactions on Parallel and Distributed Systems 29 (10), 2176-2190, 2018 | 54 | 2018 |
| On performance analysis of heterogeneous parallel algorithms A Lastovetsky, R Reddy Parallel Computing 30 (11), 1195-1216, 2004 | 51 | 2004 |
| Data distribution for dense factorization on computers with memory heterogeneity A Lastovetsky, R Reddy Parallel Computing 33 (12), 757-779, 2007 | 48 | 2007 |
| A survey of communication performance models for high-performance computing JA Rico-Gallego, JC Díaz-Martín, RR Manumachu, AL Lastovetsky ACM Computing Surveys (CSUR) 51 (6), 1-36, 2019 | 39 | 2019 |
| Bi-objective optimization of data-parallel applications on heterogeneous HPC platforms for performance and energy through workload distribution H Khaleghzadeh, M Fahad, A Shahid, RR Manumachu, A Lastovetsky IEEE Transactions on Parallel and Distributed Systems 32 (3), 543-560, 2020 | 35 | 2020 |
| Distributed data partitioning for heterogeneous processors based on partial estimation of their functional performance models A Lastovetsky, R Reddy Euro-Par 2009–Parallel Processing Workshops: HPPC, HeteroPar, PROPER, ROIA …, 2010 | 32 | 2010 |
| Additivity: A selection criterion for performance events for reliable energy predictive modeling A Shahid, M Fahad, R Reddy, A Lastovetsky Supercomputing Frontiers and Innovations 4 (4), 50-65, 2017 | 30 | 2017 |
| Building the functional performance model of a processor A Lastovetsky, R Reddy, R Higgins Proceedings of the 2006 ACM symposium on Applied computing, 746-753, 2006 | 30 | 2006 |
| Data partitioning for multiprocessors with memory heterogeneity and memory constraints A Lastovetsky, R Reddy Scientific Programming 13 (2), 93-112, 2005 | 30 | 2005 |
| Out-of-core implementation for accelerator kernels on heterogeneous clouds H Khaleghzadeh, Z Zhong, R Reddy, A Lastovetsky The Journal of Supercomputing 74, 551-568, 2018 | 27 | 2018 |
| Experimental study of six different implementations of parallel matrix multiplication on heterogeneous computational clusters of multicore processors P Alonso, R Reddy, A Lastovetsky 2010 18th Euromicro Conference on Parallel, Distributed and Network-based …, 2010 | 24 | 2010 |
| Design of self‐adaptable data parallel applications on multicore clusters automatically optimized for performance and energy through load distribution R Reddy Manumachu, AL Lastovetsky Concurrency and Computation: Practice and Experience 31 (4), e4958, 2019 | 19 | 2019 |
| Multicore processor computing is not energy proportional: An opportunity for bi-objective optimization for energy and performance S Khokhriakov, RR Manumachu, A Lastovetsky Applied energy 268, 114957, 2020 | 17 | 2020 |
