| A comparative study of methods for measurement of energy of computing M Fahad, A Shahid, RR Manumachu, A Lastovetsky Energies 12 (11), 2204, 2019 | 73 | 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 | 36 | 2020 |
| 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 |
| Accurate energy modelling of hybrid parallel applications on modern heterogeneous computing platforms using system-level measurements M Fahad, A Shahid, RR Manumachu, A Lastovetsky IEEE Access 8, 93793-93829, 2020 | 18 | 2020 |
| Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors A Shahid, M Fahad, RR Manumachu, A Lastovetsky IEEE Access 9, 63149-63172, 2021 | 16 | 2021 |
| Improving the Accuracy of Energy Predictive Models for Multicore CPUs Using Additivity of Performance Monitoring Counters A Shahid, M Fahad, RR Manumachu, A Lastovetsky Parallel Computing Technologies: 15th International Conference, PaCT 2019 …, 2019 | 14 | 2019 |
| Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables A Shahid, M Fahad, RR Manumachu, A Lastovetsky Journal of Parallel and Distributed Computing 151, 38-51, 2021 | 12 | 2021 |
| A comparative study of techniques for energy predictive modeling using performance monitoring counters on modern multicore CPUs A Shahid, M Fahad, RR Manumachu, A Lastovetsky IEEE Access 8, 143306-143332, 2020 | 11 | 2020 |
| A novel data partitioning algorithm for dynamic energy optimization on heterogeneous high‐performance computing platforms H Khaleghzadeh, M Fahad, R Reddy Manumachu, A Lastovetsky Concurrency and Computation: Practice and Experience 32 (21), e5928, 2020 | 9 | 2020 |
| Energy of computing on multicore cpus: Predictive models and energy conservation law A Shahid, M Fahad, RR Manumachu, A Lastovetsky arXiv preprint arXiv:1907.02805, 2019 | 8 | 2019 |
| HCLWattsUp: Energy API using system-level physical power measurements provided by power meters M Fahad, RR Manumachu Heterogeneous Computing Laboratory, University College Dublin, 2021 | 6 | 2021 |
| A novel statistical learning-based methodology for measuring the goodness of energy profiles of applications executing on multicore computing platforms M Fahad, A Shahid, RR Manumachu, A Lastovetsky Energies 13 (15), 3944, 2020 | 5 | 2020 |
| Bi-objective optimisation of data-parallel applications on heterogeneous platforms for performance and energy via workload distribution H Khaleghzadeh, M Fahad, A Shahid, RR Manumachu, A Lastovetsky arXiv preprint arXiv:1907.04080, 2019 | 4 | 2019 |
| Optimization of data-parallel applications on heterogeneous HPC platforms for dynamic energy through workload distribution H Khaleghzadeh, M Fahad, RR Manumachu, A Lastovetsky European Conference on Parallel Processing, 320-332, 2019 | 3 | 2019 |
| How pre-multicore methods and algorithms perform in multicore era A Lastovetsky, M Fahad, H Khaleghzadeh, S Khokhriakov, R Reddy, ... High Performance Computing: ISC High Performance 2018 International …, 2018 | 3 | 2018 |
| Supplementary Materials: A Novel Statistical Learning-Based Methodology for Measuring the Goodness of Energy Profiles of Applications Executing on Multicore Comptuing Platforms M Fahad, A Shahid, RR Manumachu, A Lastovetsky | 1 | |
| Co-simulation in the Modular Science Framework, controlling complexity A Klijn, Wouter and Jimenez-Romero, Cristian and Sontheimer, Kim and Fahad ... https://juser.fz-juelich.de/record/916093, 2022 | | 2022 |
| Multiscale Brain Co-simulation in the Human Brain Project: EBRAINS tools for in-transit simulation and analysis M Fahad, K Sontheimer, C Jimenez-Romero, W Klijn, A Morrison, ... NEST Conference 2021, 2021 | | 2021 |
| Multiscale Brain Co-simulation in the Human Brain Project: EBRAINS tools for in-transit simulation and analysis W Klijn, K Sontheimer, C Jimenez-Romero, A Morrison, JM Eppler, ... HP-C/DA 2021 a workshop of ISC High Performance 2021, 2021 | | 2021 |
| Accurate Component-level Energy Modelling of Parallel Applications on Modern Heterogeneous Hybrid Computing Platforms using System-level Measurements M Fahad University College Dublin, 2020 | | 2020 |
Ravi Reddy ManumachuAssistant Professor, School of Computer Science, University College DublinVerified email at ucd.ie
