Marie Skłodowska-Curie Actions Researcher, APROPOS Project
SW/HW/AI engineer. FPGA, SIMD accelerator, RF
❇️ Linkedin | 🎓 ORCiD | 🎓 Google Scholar | 🎓 ResearchGate | 🐧 Twitter
| [email protected] | [email protected] |
Publications and Presentations
-
06/2024 Mapping Parallel Matrix Multiplication in GotoBLAS2 to the AMD Versal ACAP for Deep Learning
Lei, J., Quintana-Ort ́ı, E.S., 2024. Mapping Parallel Matrix Multipli- cation in GotoBLAS2 to the AMD Versal ACAP for Deep Learning. In: Proceedings of the PECS 2024 - Workshop on Performance and Energy Efficiency in Concurrent and Distributed Systems, Pisa, Italy, to appear. -
02/2024Hard SyDR: A Benchmarking Environment for Global Navigation Satellite System Algorithms
Grenier, A., Lei, J., Damsgaard, H.J., Quintana-Ort ́ı, E.S., Ometov, A., Lohan, E.S. and Nurmi, J., 2024. Hard SyDR: A Benchmarking Environment for Global Navigation Satellite System Algorithms. Sensors, 24(2), p.409. Available at: https://doi.org/10.3390/s24020409 -
10/2023 👑 Best Doctoral consortium Poster at ACADEMIC MINDTREK 2023, Tampere, Finland
-
06/2023 Towards Benchmarking GNSS Algorithms on FPGA using SyDR
A. Grenier et al., “Towards Benchmarking GNSS Algorithms on FPGA using SyDR,” 2023 International Conference on Localization and GNSS (ICL-GNSS), Castellón, Spain, 2023, pp. 1-7, doi: 10.1109/ICL-GNSS57829.2023.10148916. -
05/2023 GEMM-Like Convolution for Deep Learning Inference on the Xilinx Versal
*Jie Lei, Héctor Martínez, José Flich, Enrique S. Quintana-Ortí 2023 WORKSHOP: HPC ON HETEROGENEOUS HARDWARE (H3) at ISC2023 * -
03/2023 Open sourced Tutorial: Getting started with PYNQ on Xilinx KV260
-
02/2023 Paper: Toward Matrix Multiplication for Deep Learning Inference on the Xilinx Versal
Lei, Jie, Flich, José, & Quintana-Ort, Enrique S. (2023, June 1). Toward Matrix Multiplication for Deep Learning Inference on the Xilinx Versal. 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). https://doi.org/10.1109/PDP59025.2023.00043 -
01/2023 Presentation at HiPEAC 2023: Toward Matrix Multiplication for Deep Learning Inference on the Xilinx Versal
Jie Lei, José Flich and Enrique S. Quintana-Ortí, HiPEAC 2023, Toulouse France. WAPCO: Workshop on Approximate Computing. -
07/2022 Poster at HiPEAC ACACES 2022: Efficient Matrix Multiplications on RISC-V MCUs
Poster: Cristian Ramírez, Jie Lei, HiPEAC 18th International Summer School on Advanced Computer Architecture and Compilation for High-performance Embedded Systems 2022, Fiuggi Itally. -
03/2022 Paper: Logic-based intelligence for batteryless sensors
Abu Bakar, Tousif Rahman, Alessandro Montanari, Jie Lei, Rishad Shafik, Fahim Kawsar, HotMobile ‘22: Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and ApplicationsMarch 2022 Pages 22–28 https://doi.org/10.1145/3508396.3512870 -
01/2021 Paper: Low-Power Audio Keyword Spotting using Tsetlin Machines
Lei, J.; Rahman, T.; Shafik, R.; Wheeldon, A.; Yakovlev, A.; Granmo, O.-C.; Kawsar, F.; Mathur, A. Low-Power Audio Keyword Spotting Using Tsetlin Machines. J. Low Power Electron. Appl. 2021, 11, 18. https://doi.org/10.3390/jlpea11020018 -
10/2020 👑 Best Poster Award: From Arithmetic to Logic Based AI: a Comparative Analysis of Neural Networks and Tsetlin Machine
J. Lei, A. Wheeldon, R. Shafik, A. Yakovlev and O. -C. Granmo, “From Arithmetic to Logic based AI: A Comparative Analysis of Neural Networks and Tsetlin Machine,” 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2020, pp. 1-4, doi: 10.1109/ICECS49266.2020.9294877. -
09/2020 Paper: Learning Automata based Energy-efficient AI Hardware Design for IoT Applications
Wheeldon Adrian, Shafik Rishad, Rahman Tousif, Lei Jie, Yakovlev Alex and Granmo Ole-Christoffer 2020Learning automata based energy-efficient AI hardware design for IoT applicationsPhil. Trans. R. Soc. A.3782019059320190593 http://doi.org/10.1098/rsta.2019.0593 -
07/2020 Paper: A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning
* K. Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin*
Videos
-
08/2021 Distributed Tsetlin Machine on a heterogeneous AI cluster
-
03/2021 Voice Recognition on the Edge (microcontroller) with Tsetlin Machines
-
12/2020 👑 ICECS 2020 Poster Video: Comparing Neural networks with the Tsetlin Machin
-
08/2021 ARM2020 Research Summit