| FINN-L: Library extensions and design trade-off analysis for variable precision LSTM networks on FPGAs V Rybalkin, A Pappalardo, MM Ghaffar, G Gambardella, N Wehn, M Blott 2018 28th international conference on field programmable logic and …, 2018 | 88 | 2018 |
| Xilinx/brevitas A Pappalardo Zenodo: Geneva, Switzerland, 2021 | 67 | 2021 |
| Ps and qs: Quantization-aware pruning for efficient low latency neural network inference B Hawks, J Duarte, NJ Fraser, A Pappalardo, N Tran, Y Umuroglu Frontiers in Artificial Intelligence 4, 676564, 2021 | 47 | 2021 |
| Performance vs. hardware requirements in state-of-the-art automatic speech recognition AL Georgescu, A Pappalardo, H Cucu, M Blott EURASIP Journal on Audio, Speech, and Music Processing 2021 (1), 28, 2021 | 33 | 2021 |
| Experimental setup and procedure for the measurement of the 7Be (n, α) α reaction at n_TOF L Cosentino, A Musumarra, M Barbagallo, A Pappalardo, N Colonna, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2016 | 30 | 2016 |
| Preparation of 7Be targets for nuclear astrophysics research EA Maugeri, S Heinitz, R Dressler, M Barbagallo, N Kivel, D Schumann, ... Journal of Instrumentation 12 (02), P02016, 2017 | 26 | 2017 |
| Xilinx/brevitas (2021) A Pappalardo URL https://doi. org/10.5281/zenodo 3333552, 2022 | 20 | 2022 |
| Ion micro-beam diagnostics with photodetectors L Cosentino, P Finocchiaro, A Pappalardo, A Hermanne, H Thienpont, ... Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2003 | 12 | 2003 |
| Qonnx: Representing arbitrary-precision quantized neural networks A Pappalardo, Y Umuroglu, M Blott, J Mitrevski, B Hawks, N Tran, ... arXiv preprint arXiv:2206.07527, 2022 | 11 | 2022 |
| RadioML meets FINN: Enabling future RF applications with FPGA streaming architectures F Jentzsch, Y Umuroglu, A Pappalardo, M Blott, M Platzner IEEE Micro 42 (6), 125-133, 2022 | 8 | 2022 |
| Beam monitoring enhances deep proton lithography: towards high-quality micro-optical components P Vynck, B Volckaerts, M Vervaeke, H Ottevaere, P Tuteleers, L Cosentino, ... proceedings of the IEEE/LEOS Benelux Chapter symposium, Amsterdam, The …, 2002 | 8 | 2002 |
| Mix-gemm: An efficient hw-sw architecture for mixed-precision quantized deep neural networks inference on edge devices E Reggiani, A Pappalardo, M Doblas, M Moreto, M Olivieri, OS Unsal, ... 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 6 | 2023 |
| Xilinx/brevitas. Zenodo; 2021 A Pappalardo | 5 | |
| A2Q: Accumulator-aware quantization with guaranteed overflow avoidance I Colbert, A Pappalardo, J Petri-Koenig Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Monitoring and adaptation in smart spaces for disabled children F Garzotto, M Gelsomini, A Pappalardo, C Sanna, E Stella, M Zanella Proceedings of the International Working Conference on Advanced Visual …, 2016 | 4 | 2016 |
| Ion micro-beam diagnostics with scintillators for application of deep lithography with particles L Cosentino, A Pappalardo, P Finocchiaro, A Hermanne, M Vervaeke, ... 2002 IEEE Nuclear Science Symposium Conference Record 1, 342-345, 2002 | 3 | 2002 |
| Ion micro-beam diagnostics with photodetectors for Deep Lithography applications L Cosentino, P Finocchiaro, A Pappalardo, A Hermanne, H Thienpont, ... Nuclear Instruments and Methods in Physics Research, 2002 | 3 | 2002 |
| Post-training quantization with low-precision minifloats and integers on FPGAs S Aggarwal, A Pappalardo, HJ Damsgaard, G Franco, TB Preußer, M Blott, ... arXiv preprint arXiv:2311.12359, 2023 | 2 | 2023 |
| Quantized neural networks for low-precision accumulation with guaranteed overflow avoidance I Colbert, A Pappalardo, J Petri-Koenig arXiv preprint arXiv:2301.13376, 2023 | 2 | 2023 |
| Characterization of Silicon PhotoMultipliers at LNS‐INFN L Cosentino, P Finocchiaro, A Pappalardo AIP Conference Proceedings 1412 (1), 185-191, 2011 | 1 | 2011 |
