Mostafa Mahmoud
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
8
Active years
1995–2024
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACSSC | Every Bit Matters: A Hardware/Software Approach for Enabling More Powerful Machine Learning Models. | Enrique Torres-Snchez, Milos Nikolic, Kareem Ibrahim, Alberto Delmas Lascorz, Ali Hadi Zadeh, Jiahui Wang, Ameer Abdelhadi, Mostafa Mahmoud, Christina Giannoula, Andreas Moshovos |
| 2024 | ASPLOS | Atalanta: A Bit is Worth a "Thousand" Tensor Values. | Alberto Delmas Lascorz, Mostafa Mahmoud, Ali Hadi Zadeh, Milos Nikolic, Kareem Ibrahim, Christina Giannoula, Ameer Abdelhadi, Andreas Moshovos |
| 2024 | ASPLOS | Marple: Scalable Spike Sorting for Untethered Brain-Machine Interfacing. | Eugene Sha, Andy Wei Liu, Kareem Ibrahim, Mostafa Mahmoud, Christina Giannoula, Ameer Abdelhadi, Andreas Moshovos |
| 2022 | ISCA | Mokey: enabling narrow fixed-point inference for out-of-the-box floating-point transformer models. | Ali Hadi Zadeh, Mostafa Mahmoud, Ameer Abdelhadi, Andreas Moshovos |
| 2021 | MICRO | 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 |
| 2020 | DAC | Late Breaking Results: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick. | Isak Edo Vivancos, Sayeh Sharify, Milos Nikolic, Ciaran Bannon, Mostafa Mahmoud, Alberto Delmas Lascorz, Andreas Moshovos |
| 2020 | MICRO | 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 |
| 2019 | ASPLOS | Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks. | Alberto Delmas Lascorz, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Kevin Siu, Andreas Moshovos |
| 2019 | ISCA | Laconic deep learning inference acceleration. | Sayeh Sharify, Alberto Delmas Lascorz, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Dylan Malone Stuart, Zissis Poulos, Andreas Moshovos |
| 2019 | ISPASS | Characterizing Sources of Ineffectual Computations in Deep Learning Networks. | Milos Nikolic, Mostafa Mahmoud, Andreas Moshovos, Yiren Zhao, Robert Mullins |
| 2019 | MICRO | 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, Kevin Siu, Zissis Poulos, Andreas Moshovos |
| 2018 | MICRO | Diffy: a Dj vu-Free Differential Deep Neural Network Accelerator. | Mostafa Mahmoud, Kevin Siu, Andreas Moshovos |
| 2017 | MICRO | IDEAL: image denoising accelerator. | Mostafa Mahmoud, Bojian Zheng, Alberto Delmas Lascorz, Felix Heide, Jonathan Assouline, Paul Boucher, Emmanuel Onzon, Andreas Moshovos |
| 2008 | WEBIST | Usability and its Role in Enhancing the Online User Experience in the Egyptian Web-Based Governmental Services Portals. | Mostafa Mahmoud, Aboul El Neil |
| 1995 | IAAI | Experience with the Development and Deployment of Expert Systems in Agriculture. | Ahmed A. Rafea, Sayed El-Azhari, Iman Ibrahim, Soliman Edres, Mostafa Mahmoud |