Additivity: A Selection Criterion for Performance Events for Reliable Energy Predictive Modeling. - Arsalan Shahid; Muhammad Fahad 002; Ravi Reddy; Alexey L. Lastovetsky (Supercomput. Front. Innov., 2017)

How Pre-multicore Methods and Algorithms Perform in Multicore Era. - Alexey L. Lastovetsky; Muhammad Fahad 002; Hamidreza Khaleghzadeh; Semyon Khokhriakov; Ravi Reddy; Arsalan Shahid; Lukasz Szustak; Roman Wyrzykowski (ISC Workshops, 2018)

Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Dynamic Energy Through Workload Distribution. - Hamidreza Khaleghzadeh; Muhammad Fahad 002; Ravi Reddy Manumachu; Alexey L. Lastovetsky (Euro-Par Workshops, 2019)

Improving the Accuracy of Energy Predictive Models for Multicore CPUs Using Additivity of Performance Monitoring Counters. - Arsalan Shahid; Muhammad Fahad 002; Ravi Reddy Manumachu; Alexey L. Lastovetsky (PaCT, 2019)

Energy of Computing on Multicore CPUs: Predictive Models and Energy Conservation Law. - Arsalan Shahid; Muhammad Fahad 002; Ravi Reddy Manumachu; Alexey L. Lastovetsky (CoRR, 2019)

Bi-objective Optimisation of Data-parallel Applications on Heterogeneous Platforms for Performance and Energy via Workload Distribution. - Hamidreza Khaleghzadeh; Muhammad Fahad 002; Arsalan Shahid; Ravi Reddy Manumachu; Alexey L. Lastovetsky (CoRR, 2019)

Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms Using System-Level Measurements. - Muhammad Fahad 002; Arsalan Shahid; Ravi Reddy Manumachu; Alexey L. Lastovetsky (IEEE Access, 2020)

A Comparative Study of Techniques for Energy Predictive Modeling Using Performance Monitoring Counters on Modern Multicore CPUs. - Arsalan Shahid; Muhammad Fahad 002; Ravi Reddy Manumachu; Alexey L. Lastovetsky (IEEE Access, 2020)

A novel data partitioning algorithm for dynamic energy optimization on heterogeneous high-performance computing platforms. - Hamidreza Khaleghzadeh; Muhammad Fahad 002; Ravi Reddy Manumachu; Alexey L. Lastovetsky (Concurr. Comput. Pract. Exp., 2020)

Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors. - Arsalan Shahid; Muhammad Fahad 002; Ravi Reddy Manumachu; Alexey L. Lastovetsky (IEEE Access, 2021)

Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables. - Arsalan Shahid; Muhammad Fahad 002; Ravi Reddy Manumachu; Alexey L. Lastovetsky (J. Parallel Distributed Comput., 2021)

Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution. - Hamidreza Khaleghzadeh; Muhammad Fahad 002; Arsalan Shahid; Ravi Reddy Manumachu; Alexey L. Lastovetsky (IEEE Trans. Parallel Distributed Syst., 2021)