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Journal Articles
- 2019
[j1]Mostafa Mahmoud, Dylan Malone Stuart, Zissis Poulos, Alberto Delmas Lascorz, Patrick Judd, Sayeh Sharify, Milos Nikolic, Kevin Siu, Isak Edo Vivancos, Jorge Albericio, Andreas Moshovos:
Accelerating Image-Sensor-Based Deep Learning Applications. IEEE Micro 39(5): 26-35 (2019)
Conference and Workshop Papers
- 2024
- [c9]Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, Andreas Moshovos:
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. ISCAS 2024: 1-5 - 2023
- [c8]Mohamed A. Elgammal
, Omar Mohamed Awad, Isak Edo Vivancos, Andreas Moshovos, Vaughn Betz:
cuSCNN : an Efficient CUDA Implementation of Sparse CNNs. HEART 2023: 107-113 - 2021
- [c7]Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos:
FPRaker: A Processing Element For Accelerating Neural Network Training. MICRO 2021: 857-869 - [c6]Isak Edo Vivancos, Sayeh Sharify, Daniel Ly-Ma, Ameer Abdelhadi, Ciaran Bannon, Milos Nikolic, Mostafa Mahmoud, Alberto Delmas Lascorz, Gennady Pekhimenko, Andreas Moshovos:
Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick. MLSys 2021 - 2020
- [c5]Isak Edo Vivancos, Sayeh Sharify, Milos Nikolic, Ciaran Bannon, Mostafa Mahmoud, Alberto Delmas Lascorz, Andreas Moshovos:
Late Breaking Results: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick. DAC 2020: 1-2 - [c4]Mario Badr, Carlo Delconte, Isak Edo, Radhika Jagtap, Matteo Andreozzi, Natalie D. Enright Jerger:
Mocktails: Capturing the Memory Behaviour of Proprietary Mobile Architectures. ISCA 2020: 460-472 - [c3]Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos:
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training. MICRO 2020: 781-795 - [c2]Ali Hadi Zadeh, Isak Edo, Omar Mohamed Awad, Andreas Moshovos:
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. MICRO 2020: 811-824 - 2019
- [c1]Alberto Delmas Lascorz, Sayeh Sharify, Isak Edo Vivancos, Dylan Malone Stuart, Omar Mohamed Awad, Patrick Judd, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Zissis Poulos, Andreas Moshovos:
ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning. MICRO 2019: 28-41
Informal and Other Publications
- 2020
- [i2]Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos:
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference. CoRR abs/2009.00748 (2020) - [i1]Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos:
FPRaker: A Processing Element For Accelerating Neural Network Training. CoRR abs/2010.08065 (2020)
Coauthor Index
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