Fareed Qararyah

14 papers A 2B 1C 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 B conf
An Analytical Cost Model for Fast Evaluation of Multiple Compute-Engine CNN Accelerators.
ISPASS
Fareed Qararyah, Mohammad Ali Maleki, Pedro Trancoso
2025 J jnl
An Analytical Cost Model for Fast Evaluation of Multiple Compute-Engine CNN Accelerators.
CoRR
Fareed Qararyah, Mohammad Ali Maleki, Pedro Trancoso
2024 J jnl
An Efficient Hybrid Deep Learning Accelerator for Compact and Heterogeneous CNNs.
ACM Trans. Archit. Code Optim.
Fareed Qararyah, Muhammad Waqar Azhar, Pedro Trancoso
2024 — conf
Fusing Depthwise and Pointwise Convolutions for Efficient Inference on GPUs.
ICPP Workshops
Fareed Qararyah, Muhammad Waqar Azhar, Mohammad Ali Maleki, Pedro Trancoso
2024 J jnl
Fusing Depthwise and Pointwise Convolutions for Efficient Inference on GPUs.
CoRR
Fareed Qararyah, Muhammad Waqar Azhar, Mohammad Ali Maleki, Pedro Trancoso
2023 A conf
Evaluation of heterogeneous AIoT Accelerators within VEDLIoT.
DATE
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
2023 J jnl
VEDLIoT - Next generation accelerated AIoT systems and applications.
CoRR
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
2023 — conf
VEDLIoT: Next generation accelerated AIoT systems and applications.
CF
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
2022 C conf
FiBHA: Fixed Budget Hybrid CNN Accelerator.
SBAC-PAD
Fareed Qararyah, Muhammad Waqar Azhar, Pedro Trancoso
2022 A conf
VEDLIoT: Very Efficient Deep Learning in IoT.
DATE
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
2022 J jnl
VEDLIoT: Very Efficient Deep Learning in IoT.
CoRR
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
2021 J jnl
A computational-graph partitioning method for training memory-constrained DNNs.
Parallel Comput.
Fareed Qararyah, Mohamed Wahib, Doga Dikbayir, Mehmet Esat Belviranli, Didem Unat
2020 J jnl
A Computational-Graph Partitioning Method for Training Memory-Constrained DNNs.
CoRR
Fareed Qararyah, Mohamed Wahib, Doga Dikbayir, Mehmet Esat Belviranli, Didem Unat
2018 — conf
A Time Efficient Model for Region of Interest Extraction in Real Time Traffic Signs Recognition System.
SSCI
Fareed Qararyah, Yousef-Awwad Daraghmi, Eman Yasser Daraghmi, Shantanu Rajora, Chin-Teng Lin, Mukesh Prasad