Hamidreza Khaleghzadeh

According to our database, Hamidreza Khaleghzadeh authored at least 18 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Efficient exact algorithms for continuous bi-objective performance-energy optimization of applications with linear energy and monotonically increasing performance profiles on heterogeneous high performance computing platforms.

Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky

Concurr. Comput. Pract. Exp., 2023

Acceleration of Bi-Objective Optimization of Data-Parallel Applications for Performance and Energy on Heterogeneous Hybrid Platforms.

Ravi Reddy Manumachu, Hamidreza Khaleghzadeh, Alexey L. Lastovetsky

IEEE Access, 2023

2022

Novel bi-objective optimization algorithms minimizing the max and sum of vectors of functions.

Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky

CoRR, 2022

2021

Bi-Objective Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Performance and Energy Through Workload Distribution.

Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky

IEEE Trans. Parallel Distributed Syst., 2021

FOCT: Fast Overlapping Clustering for Textual Data.

Atefeh Khazaei, Hamidreza Khaleghzadeh, Mohammad Ghasemzadeh

IEEE Access, 2021

A Novel Algorithm for Bi-objective Performance-Energy Optimization of Applications with Continuous Performance and Linear Energy Profiles on Heterogeneous HPC Platforms.

Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021

Loan Default Prediction Using Spark Machine Learning Algorithms.

Aiman Muhammad Uwais, Hamidreza Khaleghzadeh

Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021

2020

The gem5 Simulator: Version 20.0+.

Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram, Mohammad Alian, Rico Amslinger, Matteo Andreozzi, Adrià Armejach, Nils Asmussen, Srikant Bharadwaj, Gabe Black, Gedare Bloom, Bobby R. Bruce, Daniel Rodrigues Carvalho, Jerónimo Castrillón, Lizhong Chen, Nicolas Derumigny, Stephan Diestelhorst, Wendy Elsasser, Marjan Fariborz, Amin Farmahini Farahani, Pouya Fotouhi, Ryan Gambord, Jayneel Gandhi, Dibakar Gope, Thomas Grass, Bagus Hanindhito, Andreas Hansson, Swapnil Haria, Austin Harris, Timothy Hayes, Adrian Herrera, Matthew Horsnell, Syed Ali Raza Jafri, Radhika Jagtap, Hanhwi Jang, Reiley Jeyapaul, Timothy M. Jones, Matthias Jung, Subash Kannoth, Hamidreza Khaleghzadeh, Yuetsu Kodama, Tushar Krishna, Tommaso Marinelli, Christian Menard, Andrea Mondelli, Tiago Mück, Omar Naji, Krishnendra Nathella, Hoa Nguyen, Nikos Nikoleris, Lena E. Olson, Marc S. Orr, Binh Pham, Pablo Prieto, Trivikram Reddy, Alec Roelke, Mahyar Samani, Andreas Sandberg, Javier Setoain, Boris Shingarov, Matthew D. Sinclair, Tuan Ta, Rahul Thakur, Giacomo Travaglini, Michael Upton, Nilay Vaish, Ilias Vougioukas, Zhengrong Wang, Norbert Wehn, Christian Weis, David A. Wood, Hongil Yoon, Éder F. Zulian

CoRR, 2020

A novel data partitioning algorithm for dynamic energy optimization on heterogeneous high-performance computing platforms.

Hamidreza Khaleghzadeh, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky

Concurr. Comput. Pract. Exp., 2020

A Hierarchical Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous Multi-Accelerator NUMA Nodes.

Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky

IEEE Access, 2020

2019

Bi-objective Optimisation of Data-parallel Applications on Heterogeneous Platforms for Performance and Energy via Workload Distribution.

Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, Alexey L. Lastovetsky

CoRR, 2019

SummaGen: Parallel Matrix-Matrix Multiplication Based on Non-rectangular Partitions for Heterogeneous HPC Platforms.

Stephen Patton, Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms for Dynamic Energy Through Workload Distribution.

Hamidreza Khaleghzadeh, Muhammad Fahad, Ravi Reddy Manumachu, Alexey L. Lastovetsky

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

2018

A Novel Data-Partitioning Algorithm for Performance Optimization of Data-Parallel Applications on Heterogeneous HPC Platforms.

Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky

IEEE Trans. Parallel Distributed Syst., 2018

Out-of-core implementation for accelerator kernels on heterogeneous clouds.

Hamidreza Khaleghzadeh, Ziming Zhong, Ravi Reddy, Alexey L. Lastovetsky

J. Supercomput., 2018

Hierarchical multicore thread mapping via estimation of remote communication.

Hamidreza Khaleghzadeh, Hossein Deldari, Ravi Reddy, Alexey L. Lastovetsky

J. Supercomput., 2018

libhclooc: Software Library Facilitating Out-of-core Implementations of Accelerator Kernels on Hybrid Computing Platforms.

Daniel Hanlon, Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky

CoRR, 2018

How Pre-multicore Methods and Algorithms Perform in Multicore Era.

Alexey L. Lastovetsky, Muhammad Fahad, Hamidreza Khaleghzadeh, Semyon Khokhriakov, Ravi Reddy, Arsalan Shahid, Lukasz Szustak, Roman Wyrzykowski

Proceedings of the High Performance Computing, 2018