Alberto Delmas Lascorz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
6
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
9 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 | ISCAS | BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. | Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Omar Mohamed Awad, Isak Edo Vivancos, Yoshua Bengio, Vincent Gripon, 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 |
| 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 | 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 | DAC | Loom: exploiting weight and activation precisions to accelerate convolutional neural networks. | Sayeh Sharify, Alberto Delmas Lascorz, Kevin Siu, Patrick Judd, 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 |