ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning. - Alberto Delmas Lascorz; Sayeh Sharify; Isak Edo Vivancos; Dylan Malone Stuart; Omar Mohamed Awad; Patrick Judd; Mostafa Mahmoud; Milos Nikolic 002; Kevin Siu; Zissis Poulos; Andreas Moshovos (MICRO, 2019)

Accelerating Image-Sensor-Based Deep Learning Applications. - Mostafa Mahmoud; Dylan Malone Stuart; Zissis Poulos; Alberto Delmas Lascorz; Patrick Judd; Sayeh Sharify; Milos Nikolic 002; Kevin Siu; Isak Edo Vivancos; Jorge Albericio; Andreas Moshovos (IEEE Micro, 2019)

Late Breaking Results: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick. - Isak Edo Vivancos; Sayeh Sharify; Milos Nikolic 002; Ciaran Bannon; Mostafa Mahmoud; Alberto Delmas Lascorz; Andreas Moshovos (DAC, 2020)

Mocktails: Capturing the Memory Behaviour of Proprietary Mobile Architectures. - Mario Badr; Carlo Delconte; Isak Edo; Radhika Jagtap; Matteo Andreozzi; Natalie D. Enright Jerger (ISCA, 2020)

TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training. - Mostafa Mahmoud; Isak Edo; Ali Hadi Zadeh; Omar Mohamed Awad; Gennady Pekhimenko; Jorge Albericio; Andreas Moshovos (MICRO, 2020)

GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. - Ali Hadi Zadeh; Isak Edo; Omar Mohamed Awad; Andreas Moshovos (MICRO, 2020)

TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference. - Mostafa Mahmoud; Isak Edo Vivancos; Ali Hadi Zadeh; Omar Mohamed Awad; Gennady Pekhimenko; Jorge Albericio; Andreas Moshovos (CoRR, 2020)

FPRaker: A Processing Element For Accelerating Neural Network Training. - Omar Mohamed Awad; Mostafa Mahmoud; Isak Edo; Ali Hadi Zadeh; Ciaran Bannon; Anand Jayarajan; Gennady Pekhimenko; Andreas Moshovos (MICRO, 2021)

Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick. - Isak Edo Vivancos; Sayeh Sharify; Daniel Ly-Ma; Ameer Abdelhadi; Ciaran Bannon; Milos Nikolic 002; Mostafa Mahmoud; Alberto Delmas Lascorz; Gennady Pekhimenko; Andreas Moshovos (MLSys, 2021)

cuSCNN : an Efficient CUDA Implementation of Sparse CNNs. - Mohamed A. Elgammal; Omar Mohamed Awad; Isak Edo Vivancos; Andreas Moshovos; Vaughn Betz (HEART, 2023)

BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. - Milos Nikolic 002; Ghouthi Boukli Hacene; Ciaran Bannon; Alberto Delmas Lascorz; Matthieu Courbariaux; Omar Mohamed Awad; Isak Edo Vivancos; Yoshua Bengio; Vincent Gripon; Andreas Moshovos (ISCAS, 2024)