Pedro Trancoso
Chalmers tekniska högskola
H-index: 21
Europe-Sweden
Top articles of Pedro Trancoso
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Fusing Depthwise and Pointwise Convolutions for Efficient Inference on GPUs | arXiv preprint arXiv:2404.19331 | Fareed Qararyah Muhammad Waqar Azhar Mohammad Ali Maleki Pedro Trancoso | 2024/4/30 |
An Efficient Hybrid Deep Learning Accelerator for Compact and Heterogeneous CNNs | ACM Transactions on Architecture and Code Optimization | Fareed Qararyah Muhammad Waqar Azhar Pedro Trancoso | 2024/2/15 |
VEDLIoT | Proceedings of the 20th ACM International Conference on Computing Frontiers | Kevin Mika René Griessl Nils Kucza Florian Porrmann Martin Kaiser | 2023 |
eProcessor: European, Extendable, Energy-Efficient, Extreme-Scale, Extensible, Processor Ecosystem | Lluc Alvarez Abraham Ruiz Arnau Bigas-Soldevilla Pavel Kuroedov Alberto Gonzalez | 2023/5/9 | |
VEDLIoT: Next generation accelerated AIoT systems and applications | Kevin Mika René Griessl Nils Kucza Florian Porrmann Martin Kaiser | 2023/5/9 | |
Exploiting the Potential of Flexible Processing Units | Mateo Vázquez Muhammad Waqar Azhar Pedro Trancoso | 2023/10/17 | |
RAINBOW: Multi-Dimensional Hardware-Software Co-Design for DL Accelerator On-Chip Memory | Stavroula Zouzoula Muhammad Waqar Azhar Pedro Trancoso | 2023/4/23 | |
Preface | Arkady Leiderman Vladimir Pestov Matatyahu Rubin Slawomir Solecki Vladimir Uspenskij | 2008/8/15 | |
Evaluation of heterogeneous AIoT Accelerators within VEDLIoT | René Griessl Florian Porrmann Nils Kucza Kevin Mika Jens Hagemeyer | 2023/4/17 | |
Reconfigurable Accelerators for Heterogenous Computing in AIoT | IWANN INTERNATIONAL WORK CONFERENCE ON ARTIFICIAL NEURAL NETWORKS JUNE 19-21, 2023 ABSTRACT PROCEEDINGS | M Tassemeier M Porrmann R Griessl J Hagemeyer P Trancoso | 2023/6/19 |
A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT based on Microservers | Shaping the Future of IoT with Edge Intelligence | R Griessl F Porrmann N Kucza K Mika J Hagemeyer | 2023 |
ARADA: Adaptive resource allocation for improving energy efficiency in deep learning accelerators | Muhammad Waqar Azhar Stavroula Zouzoula Pedro Trancoso | 2023/5/9 | |
Introduction to the special section on FPL 2020.(4). doi: 10.1145/3536336 Version: Publisher's Version License: Licensed under rticle 25fa Cop right ct | Law (mendment Ta erne) Downloaded from: https://hdl. handle. net/1887/3515699 | N Mentens L Sousa P Trancoso | 2022 |
Initial report on the dl accelerator design | Mario Porrmann UOS Griessl R UOS MT P Trancoso FM Qararyah S Zouzoula | 2022 | |
Introduction to the Special Section on FPL 2020 | Nele Mentens Lionel Sousa Pedro Trancoso | 2022/12/14 | |
Fibha: fixed budget hybrid CNN accelerator | Fareed Qararyah Muhammad Waqar Azhar Pedro Trancoso | 2022/11/2 | |
VSA: A hybrid vector-systolic architecture | Pedro Trancoso Mateo Vázquez Maceiras Muhammad Waqar Azhar | 2022/10/23 | |
VEDLIoT: very efficient deep learning in IoT | Martin Kaiser Rene Griessl Nils Kucza Carola Haumann Lennart Tigges | 2022/3/14 | |
Reliability Analysis of Compressed CNNs | Stefano Ribes Alirad Malek Pedro Trancoso Ioannis Sourdis | 2021 | |
Legato: low-energy, secure, and resilient toolset for heterogeneous computing | Behzad Salami Konstantinos Parasyris Adrián Cristal O Unsal Xavier Martorell | 2020/3/9 |
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