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Mohammad H. Mofrad

Mohammad Hasanzadeh-Mofrad

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affiliation: University of Pittsburgh, PA, USA

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2020 – today

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2020
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Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud:
Graphite: A NUMA-aware HPC System for Graph Analytics Based on a new MPI * X Parallelism Model. Proc. VLDB Endow. 13(6): 783-797 (2020)
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Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud:
Studying the Effects of Hashing of Sparse Deep Neural Networks on Data and Model Parallelisms. HPEC 2020: 1-7
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Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud:
Accelerating Distributed Inference of Sparse Deep Neural Networks via Mitigating the Straggler Effect. HPEC 2020: 1-7

2010 – 2019

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2019
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Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud:
Efficient Distributed Graph Analytics using Triply Compressed Sparse Format. CLUSTER 2019: 1-11
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Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud:
Multithreaded Layer-wise Training of Sparse Deep Neural Networks using Compressed Sparse Column. HPEC 2019: 1-6
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Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Mohammad Hammoud:
Partitioning Graphs for the Cloud using Reinforcement Learning. CoRR abs/1907.06768 (2019)
2018
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Mohammad Hasanzadeh-Mofrad, Alireza Rezvanian:
Learning Automata Clustering. J. Comput. Sci. 24: 379-388 (2018)
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Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Mohammad Hammoud:
Revolver: Vertex-Centric Graph Partitioning Using Reinforcement Learning. IEEE CLOUD 2018: 818-821
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Mohammad Hasanzadeh-Mofrad, Daniel Mossé:
Speech recognition and voice separation for the internet of things. IOT 2018: 8:1-8:8
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Mohammad Hasanzadeh-Mofrad, S. K. Chang:
A Bi-population Particle Swarm Optimizer for Learning Automata based Slow Intelligent System. CoRR abs/1804.00768 (2018)
2017
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Debashis Ganguly, Mohammad H. Mofrad, Taieb Znati, Rami G. Melhem, John R. Lange:
Harvesting Underutilized Resources to Improve Responsiveness and Tolerance to Crash and Silent Faults for Data-Intensive Applications. CLOUD 2017: 536-543
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Debashis Ganguly, Mohammad H. Mofrad, Adriana Kovashka:
Detecting Sexually Provocative Images. WACV 2017: 660-668
[i1]
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Mohammad H. Mofrad, Adam Lee, Spencer L. Gray:
Leveraging Intel SGX to Create a Nondisclosure Cryptographic library. CoRR abs/1705.04706 (2017)

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