| Summarizing CPU and GPU design trends with product data Y Sun, NB Agostini, S Dong, D Kaeli arXiv preprint arXiv:1911.11313, 2019 | 131 | 2019 |
| Opencgra: Democratizing coarse-grained reconfigurable arrays C Tan, NB Agostini, J Zhang, M Minutoli, VG Castellana, C Xie, T Geng, ... 2021 IEEE 32nd International Conference on Application-specific Systems …, 2021 | 31 | 2021 |
| An MLIR-based compiler flow for system-level design and hardware acceleration NB Agostini, S Curzel, V Amatya, C Tan, M Minutoli, VG Castellana, ... Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 30 | 2022 |
| Bridging python to silicon: The soda toolchain NB Agostini, S Curzel, JJ Zhang, A Limaye, C Tan, V Amatya, M Minutoli, ... IEEE Micro 42 (5), 78-88, 2022 | 27 | 2022 |
| Secda: Efficient hardware/software co-design of fpga-based dnn accelerators for edge inference J Haris, P Gibson, J Cano, NB Agostini, D Kaeli 2021 IEEE 33rd International Symposium on Computer Architecture and High …, 2021 | 27 | 2021 |
| Exploiting adaptive data compression to improve performance and energy-efficiency of compute workloads in multi-GPU systems MK Tavana, Y Sun, NB Agostini, D Kaeli 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019 | 24 | 2019 |
| Automated generation of integrated digital and spiking neuromorphic machine learning accelerators S Curzel, NB Agostini, S Song, I Dagli, A Limaye, C Tan, M Minutoli, ... 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2021 | 20 | 2021 |
| Design space exploration of accelerators and end-to-end DNN evaluation with TFLITE-SOC NB Agostini, S Dong, E Karimi, MT Lapuerta, J Cano, JL Abellán, D Kaeli 2020 IEEE 32nd International Symposium on Computer Architecture and High …, 2020 | 19 | 2020 |
| DRIPS: Dynamic rebalancing of pipelined streaming applications on CGRAs C Tan, NB Agostini, T Geng, C Xie, J Li, A Li, KJ Barker, A Tumeo 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 16 | 2022 |
| Towards automatic and agile AI/ML accelerator design with end-to-end synthesis JJ Zhang, NB Agostini, S Song, C Tan, A Limaye, V Amatya, J Manzano, ... 2021 IEEE 32nd International Conference on Application-specific Systems …, 2021 | 11 | 2021 |
| ML-CGRA: an integrated compilation framework to enable efficient machine learning acceleration on CGRAs Y Luo, C Tan, NB Agostini, A Li, A Tumeo, N Dave, T Geng 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 10 | 2023 |
| Vcsr: An efficient gpu memory-aware sparse format E Karimi, NB Agostini, S Dong, D Kaeli IEEE Transactions on Parallel and Distributed Systems 33 (12), 3977-3989, 2022 | 10 | 2022 |
| SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference J Haris, P Gibson, J Cano, NB Agostini, D Kaeli Journal of Parallel and Distributed Computing 173, 140-151, 2023 | 9 | 2023 |
| SODA-OPT an MLIR based flow for co-design and high-level synthesis NB Agostini, S Curzel, D Kaeli, A Tumeo Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022 | 8 | 2022 |
| Dynpac: Coarse-grained, dynamic, and partially reconfigurable array for streaming applications C Tan, T Geng, C Xie, NB Agostini, J Li, A Li, K Barker, A Tumeo 2021 IEEE 39th International Conference on Computer Design (ICCD), 33-40, 2021 | 8 | 2021 |
| Spartan: A sparsity-adaptive framework to accelerate deep neural network training on GPUs S Dong, Y Sun, NB Agostini, E Karimi, D Lowell, J Zhou, J Cano, ... IEEE Transactions on Parallel and Distributed Systems 32 (10), 2448-2463, 2021 | 8 | 2021 |
| Summarizing cpu and gpu design trends with product data. arXiv 2019 Y Sun, NB Agostini, S Dong, D Kaeli arXiv preprint arXiv:1911.11313, 1911 | 7 | 1911 |
| Summarizing cpu and gpu design trends with product data (2019) Y Sun, NB Agostini, S Dong, D Kaeli arXiv preprint arXiv:1911.11313, 0 | 6 | |
| End-to-end synthesis of dynamically controlled machine learning accelerators S Curzel, NB Agostini, VG Castellana, M Minutoli, A Limaye, J Manzano, ... IEEE Transactions on Computers 71 (12), 3074-3087, 2022 | 5 | 2022 |
| The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization NB Agostini, S Curzel, A Limaye, V Amatya, M Minutoli, VG Castellana, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 1359-1362, 2022 | 3 | 2022 |
David R. KaeliDistinguished Professor of ECE, Northeastern UniversityVerified email at ece.neu.edu
