Mostafa Mahmoud

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 25

Top Topics

Weakly Supervised

Image Denoising

Top Venues

Publications

Tarek A. Boghdady, Mostafa Mahmoud, Essam El-Din Abou El-Zahab, Elsayed Tag-Eldin, Mahmoud M. Sayed
Power Level Control of Nuclear Power Plants During Load Following Operation Using Fractional Order Controller Based on a Modified Algorithm. IEEE Access 11 (2023)
Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Andreas Moshovos
Mokey: Enabling Narrow Fixed-Point Inference for Out-of-the-Box Floating-Point Transformer Models. CoRR (2022)
Milos Nikolic, Enrique Torres-Sánchez, Jiahui Wang, Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Andreas Moshovos
Schrödinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training. CoRR (2022)
Alberto Delmas Lascorz, Mostafa Mahmoud, Andreas Moshovos
APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning Inference. CoRR (2022)
Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Andreas Moshovos
Mokey: enabling narrow fixed-point inference for out-of-the-box floating-point transformer models. ISCA (2022)
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)
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)
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 (2020)
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)
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 (2020)
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)
Sayeh Sharify, Alberto Delmas Lascorz, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Dylan Malone Stuart, Zissis Poulos, Andreas Moshovos
Laconic deep learning inference acceleration. ISCA (2019)
Milos Nikolic, Mostafa Mahmoud, Andreas Moshovos, Yiren Zhao, Robert D. Mullins
Characterizing Sources of Ineffectual Computations in Deep Learning Networks. ISPASS (2019)
Alberto Delmas Lascorz, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Kevin Siu, Andreas Moshovos
Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks. ASPLOS (2019)
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) (2019)
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)
Sayeh Sharify, Mostafa Mahmoud, Alberto Delmas Lascorz, Milos Nikolic, Andreas Moshovos
Laconic Deep Learning Computing. CoRR (2018)
Mostafa Mahmoud, Kevin Siu, Andreas Moshovos
Diffy: a Déjà vu-Free Differential Deep Neural Network Accelerator. MICRO (2018)
Milos Nikolic, Mostafa Mahmoud, Andreas Moshovos
Characterizing Sources of Ineffectual Computations in Deep Learning Networks. IISWC (2018)
Kevin Siu, Dylan Malone Stuart, Mostafa Mahmoud, Andreas Moshovos
Memory Requirements for Convolutional Neural Network Hardware Accelerators. IISWC (2018)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Mostafa Mahmoud, Tayler H. Hetherington, Milos Nikolic, Dylan Malone Stuart, Kevin Siu, Zissis Poulos, Tor M. Aamodt, Natalie D. Enright Jerger
Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning. NEWCAS (2018)
Alberto Delmas, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Andreas Moshovos
Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How. CoRR (2018)
Mostafa Mahmoud, Bojian Zheng, Alberto Delmas Lascorz, Felix Heide, Jonathan Assouline, Paul Boucher, Emmanuel Onzon, Andreas Moshovos
IDEAL: image denoising accelerator. MICRO (2017)
Mostafa Mahmoud, Andreas Moshovos
Memory Controller Design Under Cloud Workloads. CoRR (2016)
Mostafa Mahmoud, Andreas Moshovos
Memory controller design under cloud workloads. IISWC (2016)
Mostafa Mahmoud, Mahmoud Rafea, Ahmed A. Rafea
Using expert systems technology to increase agriculture production and water conservation. ICDIM (2008)
Mostafa Mahmoud, Aboul El Neil
Usability and its Role in Enhancing the Online User Experience in the Egyptian Web-Based Governmental Services Portals. WEBIST (2) (2008)
Ahmed A. Rafea, Sayed El-Azhari, Iman Ibrahim, Soliman Edres, Mostafa Mahmoud
Experience with the Development and Deployment of Expert Systems in Agriculture. IAAI (1995)