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ORCIDFareed Qararyah
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2020 – today
- 2024
[j2]Fareed Qararyah
, Muhammad Waqar Azhar, Pedro Trancoso:
An Efficient Hybrid Deep Learning Accelerator for Compact and Heterogeneous CNNs. ACM Trans. Archit. Code Optim. 21(2): 25 (2024)- [c7]Fareed Qararyah, Muhammad Waqar Azhar, Mohammad Ali Maleki, Pedro Trancoso:
Fusing Depthwise and Pointwise Convolutions for Efficient Inference on GPUs. ICPP Workshops 2024: 58-67 - [i4]Fareed Qararyah, Muhammad Waqar Azhar, Mohammad Ali Maleki, Pedro Trancoso:
Fusing Depthwise and Pointwise Convolutions for Efficient Inference on GPUs. CoRR abs/2404.19331 (2024) - 2023
- [c6]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:
VEDLIoT: Next generation accelerated AIoT systems and applications. CF 2023: 291-296 - [c5]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:
Evaluation of heterogeneous AIoT Accelerators within VEDLIoT. DATE 2023: 1-6 - [i3]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:
VEDLIoT - Next generation accelerated AIoT systems and applications. CoRR abs/2305.05388 (2023) - 2022
- [c4]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:
VEDLIoT: Very Efficient Deep Learning in IoT. DATE 2022: 963-968 - [c3]Fareed Qararyah, Muhammad Waqar Azhar, Pedro Trancoso:
FiBHA: Fixed Budget Hybrid CNN Accelerator. SBAC-PAD 2022: 180-190 - [i2]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:
VEDLIoT: Very Efficient Deep Learning in IoT. CoRR abs/2207.00675 (2022) - 2021
- [j1]Fareed Qararyah, Mohamed Wahib, Doga Dikbayir, Mehmet Esat Belviranli, Didem Unat:
A computational-graph partitioning method for training memory-constrained DNNs. Parallel Comput. 104-105: 102792 (2021) - 2020
- [c2]Palwisha Akhtar, Erhan Tezcan, Fareed Mohammad Qararyah, Didem Unat:
ComScribe: Identifying Intra-node GPU Communication. Bench 2020: 157-174 - [i1]Fareed Qararyah, Mohamed Wahib, Doga Dikbayir, Mehmet Esat Belviranli, Didem Unat:
A Computational-Graph Partitioning Method for Training Memory-Constrained DNNs. CoRR abs/2008.08636 (2020)
2010 – 2019
- 2018
- [c1]Fareed Qararyah, Yousef-Awwad Daraghmi, Eman Yasser Daraghmi, Shantanu Rajora, Chin-Teng Lin, Mukesh Prasad:
A Time Efficient Model for Region of Interest Extraction in Real Time Traffic Signs Recognition System. SSCI 2018: 83-87
Coauthor Index
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