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Muhammad Fahad 0002
Person information
- affiliation: University College Dublin, Ireland
Other persons with the same name
- Muhammad Fahad 0001 — Tsinghua University, Beijing, China
- Muhammad Fahad 0003 — Stevens Institute of Technology, Hoboken, NJ, USA
- Muhammad Fahad 0004 — University of Science & Technology Bannu, Pakistan
- Muhammad Fahad 0005 — Northwestern Polytechnical University (NPU), Xi'an, China
- Muhammad Fahad 0006 — COMSATS University Islamabad, Department of Computer Science, Attock Campus, Pakistan
- Muhammad Fahad 0007
— Pakistan Air Force, Karachi Institue of Economics and Technology, College of Computing and Information Science, Pakistan
- Muhammad Fahad 0008 — National University of Sciences and Technology (NUST), Department of Electronics and Power Engineering, Pakistan
- Muhammad Fahad 0009 — PMAS Arid Agriculture University, Department of Agronomy, Rawalpindi, Pakistan
- Muhammad Fahad 0010 — Michigan Technological University, Houghton, MI, USA
- Muhammad Fahad 0011
— University Lyon 2, UR ERIC, France (and 1 more)
- Muhammad Fahad 0012 — University of Sargodha, Pakistan
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Journal Articles
- 2021
- [j7]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: 63149-63172 (2021) - [j6]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: 38-51 (2021) - [j5]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): 543-560 (2021) - 2020
- [j4]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: 93793-93829 (2020) - [j3]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: 143306-143332 (2020) - [j2]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) - 2017
- [j1]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): 50-65 (2017)
Conference and Workshop Papers
- 2019
- [c3]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: 320-332 - [c2]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: 51-66 - 2018
- [c1]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: 527-539
Informal and Other Publications
- 2019
- [i2]Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky:
Energy of Computing on Multicore CPUs: Predictive Models and Energy Conservation Law. CoRR abs/1907.02805 (2019) - [i1]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 abs/1907.04080 (2019)
Coauthor Index
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