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Faaiz Asim

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Journal Articles

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2023
[j2]
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  dblp key:
  - journals/tcad/AzamatAKL23
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  persistent URL:
  - https://dblp.org/rec/journals/tcad/AzamatAKL23
Azat Azamat, Faaiz Asim, Jintae Kim, Jongeun Lee:
Partial Sum Quantization for Reducing ADC Size in ReRAM-Based Neural Network Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4897-4908 (2023)
2022
[j1]
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  dblp key:
  - journals/access/VoLAKH22
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  - https://dblp.org/rec/journals/access/VoLAKH22
Quang Hieu Vo, Linh Ngoc Le, Faaiz Asim, Lok-Won Kim, Choong Seon Hong:
A Deep Learning Accelerator Based on a Streaming Architecture for Binary Neural Networks. IEEE Access 10: 21141-21159 (2022)

Conference and Workshop Papers

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2024
[c3]
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  dblp key:
  - conf/aspdac/SongAL24
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  - https://dblp.org/rec/conf/aspdac/SongAL24
Minjoon Song, Faaiz Asim, Jongeun Lee:
Extending Neural Processing Unit and Compiler for Advanced Binarized Neural Networks. ASPDAC 2024: 115-120
2022
[c2]
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  - electronic edition @ mpg.de
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  dblp key:
  - conf/bmvc/AsimPAL22
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Faaiz Asim, Jaewoo Park, Azat Azamat, Jongeun Lee:
Centered Symmetric Quantization for Hardware-Efficient Low-Bit Neural Networks. BMVC 2022: 538
2021
[c1]
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  - conf/iccad/AzamatAL21
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Azat Azamat, Faaiz Asim, Jongeun Lee:
Quarry: Quantization-based ADC Reduction for ReRAM-based Deep Neural Network Accelerators. ICCAD 2021: 1-7

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