Fareed Qararyah

According to our database, Fareed Qararyah authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

An Efficient Hybrid Deep Learning Accelerator for Compact and Heterogeneous CNNs.

Fareed Qararyah, Muhammad Waqar Azhar, Pedro Trancoso

ACM Trans. Archit. Code Optim., June, 2024

Fusing Depthwise and Pointwise Convolutions for Efficient Inference on GPUs.

Fareed Qararyah, Muhammad Waqar Azhar, Mohammad Ali Maleki, Pedro Trancoso

Proceedings of the Workshop Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

Evaluation of heterogeneous AIoT Accelerators within VEDLIoT.

René Griessl, Florian Porrmann, Nils Kucza, Kevin Mika, Jens Hagemeyer, Martin Kaiser, Mario Porrmann, Marco Tassemeier, Marcel Flottmann, Fareed Qararyah, Muhammad Waqar Azhar, Pedro Trancoso, Daniel Ödman, Karol Gugala, Grzegorz Latosinski

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

VEDLIoT: Next generation accelerated AIoT systems and applications.

Kevin Mika, René Griessl, Nils Kucza, Florian Porrmann, Martin Kaiser, Lennart Tigges, Jens Hagemeyer, Pedro Trancoso, Muhammad Waqar Azhar, Fareed Qararyah, Stavroula Zouzoula, Jämes Ménétrey, Marcelo Pasin, Pascal Felber, Carina Marcus, Oliver Brunnegård, Olof Eriksson, Hans Salomonsson, Daniel Ödman, Andreas Ask, António Casimiro, Alysson Bessani, Tiago Carvalho, Karol Gugala, Piotr Zierhoffer, Grzegorz Latosinski, Marco Tassemeier, Mario Porrmann, Hans-Martin Heyn, Eric Knauss, Yufei Mao, Franz Meierhöfer

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022

VEDLIoT: Very Efficient Deep Learning in IoT.

Martin Kaiser, René Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugula, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn

CoRR, 2022

FiBHA: Fixed Budget Hybrid CNN Accelerator.

Fareed Qararyah, Muhammad Waqar Azhar, Pedro Trancoso

Proceedings of the 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2022

VEDLIoT: Very Efficient Deep Learning in IoT.

Martin Kaiser, René Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Neves Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugala, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

A computational-graph partitioning method for training memory-constrained DNNs.

Fareed Qararyah, Mohamed Wahib, Doga Dikbayir, Mehmet Esat Belviranli, Didem Unat

Parallel Comput., 2021

2020

ComScribe: Identifying Intra-node GPU Communication.

Palwisha Akhtar, Erhan Tezcan, Fareed Mohammad Qararyah, Didem Unat

Proceedings of the Benchmarking, Measuring, and Optimizing, 2020

2018

A Time Efficient Model for Region of Interest Extraction in Real Time Traffic Signs Recognition System.

Fareed Qararyah, Yousef-Awwad Daraghmi, Eman Yasser Daraghmi, Shantanu Rajora, Chin-Teng Lin, Mukesh Prasad

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018