Fareed Mohammad Qararyah

Doctoral Student at Computer Engineering (Chalmers)

Source: chalmers.se

Contact Details

Publications (7)
Projects (0)

Showing 7 publications

2024

An Efficient Hybrid Deep Learning Accelerator for Compact and Heterogeneous CNNs

Fareed Mohammad Qararyah, Muhammad Waqar Azhar, Pedro Petersen Moura Trancoso

Transactions on Architecture and Code Optimization

Journal article

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2024

Efficient Processing of Compact and Heterogeneous Deep Neural Networks

Fareed Mohammad Qararyah

Licentiate thesis

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2023

VEDLIoT: Next generation accelerated AIoT systems and applications

Kevin Mika, René Griessl, Nils Kucza et al

Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023, p. 291-296

Paper in proceeding

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2023

EVALUATION OF HETEROGENEOUS AIOT ACCELERATORS WITHIN VEDLIOT

Fareed Mohammad Qararyah, Muhammad Waqar Azhar, Pedro Petersen Moura Trancoso

Other conference contribution

2023

Evaluation of heterogeneous AIoT Accelerators within VEDLIoT

R. Griessl, F. Porrmann, Nils Kucza et al

Proceedings -Design, Automation and Test in Europe, DATE. Vol. 2023-April

Paper in proceeding

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2023

A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT based on Microservers

René Griessl, Florian Porrmann, Nils Kucza et al

Shaping the Future of IoT with Edge Intelligence How Edge Computing Enables the Next Generation of IoT Applications, p. 179-196

Book chapter

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2022

FiBHA: Fixed Budget Hybrid CNN Accelerator

Fareed Mohammad Qararyah, Muhammad Waqar Azhar, Pedro Petersen Moura Trancoso

Proceedings - Symposium on Computer Architecture and High Performance Computing, p. 180-190

Paper in proceeding

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