| ZigZag: Enlarging joint architecture-mapping design space exploration for DNN accelerators L Mei, P Houshmand, V Jain, S Giraldo, M Verhelst IEEE Transactions on Computers 70 (8), 1160-1174, 2021 | 115 | 2021 |
| Review and benchmarking of precision-scalable multiply-accumulate unit architectures for embedded neural-network processing V Camus, L Mei, C Enz, M Verhelst IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (4 …, 2019 | 94 | 2019 |
| Sub-word parallel precision-scalable MAC engines for efficient embedded DNN inference L Mei, M Dandekar, D Rodopoulos, J Constantin, P Debacker, ... 2019 IEEE international conference on artificial intelligence circuits and …, 2019 | 40 | 2019 |
| Opportunities and limitations of emerging analog in-memory compute DNN architectures P Houshmand, S Cosemans, L Mei, I Papistas, D Bhattacharjee, ... 2020 IEEE International Electron Devices Meeting (IEDM), 29.1. 1-29.1. 4, 2020 | 28 | 2020 |
| Defines: Enabling fast exploration of the depth-first scheduling space for dnn accelerators through analytical modeling L Mei, K Goetschalckx, A Symons, M Verhelst 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 25 | 2023 |
| Tinyvers: A tiny versatile system-on-chip with state-retentive eMRAM for ML inference at the extreme edge V Jain, S Giraldo, J De Roose, L Mei, B Boons, M Verhelst IEEE Journal of Solid-State Circuits 58 (8), 2360-2371, 2023 | 23 | 2023 |
| TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, tiny versatile system-on-chip with state-retentive eMRAM for machine learning inference at the extreme edge V Jain, S Giraldo, J De Roose, B Boons, L Mei, M Verhelst 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and …, 2022 | 23 | 2022 |
| ZigZag: A memory-centric rapid DNN accelerator design space exploration framework L Mei, P Houshmand, V Jain, S Giraldo, M Verhelst arXiv preprint arXiv:2007.11360, 2020 | 21 | 2020 |
| LOMA: Fast auto-scheduling on DNN accelerators through loop-order-based memory allocation A Symons, L Mei, M Verhelst 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 15 | 2021 |
| Towards heterogeneous multi-core accelerators exploiting fine-grained scheduling of layer-fused deep neural networks A Symons, L Mei, S Colleman, P Houshmand, S Karl, M Verhelst arXiv preprint arXiv:2212.10612, 2022 | 11 | 2022 |
| ML processors are going multi-core: A performance dream or a scheduling nightmare? M Verhelst, M Shi, L Mei IEEE Solid-State Circuits Magazine 14 (4), 18-27, 2022 | 11 | 2022 |
| A uniform latency model for dnn accelerators with diverse architectures and dataflows L Mei, H Liu, T Wu, HE Sumbul, M Verhelst, E Beigne 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 220-225, 2022 | 11 | 2022 |
| Taxonomy and benchmarking of precision-scalable MAC arrays under enhanced DNN dataflow representation EM Ibrahim, L Mei, M Verhelst IEEE Transactions on Circuits and Systems I: Regular Papers 69 (5), 2013-2024, 2022 | 10 | 2022 |
| Processor architecture optimization for spatially dynamic neural networks S Colleman, T Verelst, L Mei, T Tuytelaars, M Verhelst 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration …, 2021 | 9 | 2021 |
| Hardware-efficient residual neural network execution in line-buffer depth-first processing M Shi, P Houshmand, L Mei, M Verhelst IEEE Journal on Emerging and Selected Topics in Circuits and Systems 11 (4 …, 2021 | 8 | 2021 |
| Analyzing the energy-latency-area-accuracy trade-off across contemporary neural networks V Jain, L Mei, M Verhelst 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 4 | 2021 |
| Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators A Symons, L Mei, S Colleman, P Houshmand, S Karl, M Verhelst 2023 IEEE International Symposium on Performance Analysis of Systems and …, 2023 | 3 | 2023 |
| CONVOLVE: Smart and seamless design of smart edge processors M Gomony, F Putter, A Gebregiorgis, G Paulin, L Mei, V Jain, S Hamdioui, ... arXiv preprint arXiv:2212.00873, 2022 | 3 | 2022 |
| Survey and benchmarking of precision-scalable mac arrays for embedded dnn processing EM Ibrahim, L Mei, M Verhelst arXiv preprint arXiv:2108.04773 4, 2021 | 2 | 2021 |
| SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators VJB Jung, A Symons, L Mei, M Verhelst, L Benini 2023 IEEE 5th International Conference on Artificial Intelligence Circuits …, 2023 | 1 | 2023 |
