Muhammad Fahad

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 12

Top Topics

Sas Enterprise Miner

Predictive Model

Computationally Complex

Partitioning Algorithm

Top Venues

Concurr. Comput. Pract. Exp.

Publications

Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore Processors. IEEE Access 9 (2021)
Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution. IEEE Trans. Parallel Distributed Syst. 32 (3) (2021)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables. J. Parallel Distributed Comput. 151 (2021)
Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms Using System-Level Measurements. IEEE Access 8 (2020)
Hamidreza Khaleghzadeh, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
A novel data partitioning algorithm for dynamic energy optimization on heterogeneous high-performance computing platforms. Concurr. Comput. Pract. Exp. 32 (21) (2020)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
A Comparative Study of Techniques for Energy Predictive Modeling Using Performance Monitoring Counters on Modern Multicore CPUs. IEEE Access 8 (2020)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Energy of Computing on Multicore CPUs: Predictive Models and Energy Conservation Law. CoRR (2019)
Hamidreza Khaleghzadeh, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Dynamic Energy Through Workload Distribution. Euro-Par Workshops (2019)
Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Bi-objective Optimisation of Data-parallel Applications on Heterogeneous Platforms for Performance and Energy via Workload Distribution. CoRR (2019)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky
Improving the Accuracy of Energy Predictive Models for Multicore CPUs Using Additivity of Performance Monitoring Counters. PaCT (2019)
Alexey L. Lastovetsky, Muhammad Fahad, Hamidreza Khaleghzadeh, Semyon Khokhriakov, Ravi Reddy, Arsalan Shahid, Lukasz Szustak, Roman Wyrzykowski
How Pre-multicore Methods and Algorithms Perform in Multicore Era. ISC Workshops (2018)
Arsalan Shahid, Muhammad Fahad, Ravi Reddy, Alexey L. Lastovetsky
Additivity: A Selection Criterion for Performance Events for Reliable Energy Predictive Modeling. Supercomput. Front. Innov. 4 (4) (2017)