| Dagger: efficient and fast RPCs in cloud microservices with near-memory reconfigurable NICs N Lazarev, S Xiang, N Adit, Z Zhang, C Delimitrou Proceedings of the 26th ACM International Conference on Architectural …, 2021 | 79 | 2021 |
| Programming and synthesis for software-defined FPGA acceleration: status and future prospects YH Lai, E Ustun, S Xiang, Z Fang, H Rong, Z Zhang ACM Transactions on Reconfigurable Technology and Systems (TRETS) 14 (4), 1-39, 2021 | 50 | 2021 |
| LAMDA: Learning-assisted multi-stage autotuning for FPGA design closure E Ustun, S Xiang, J Gui, C Yu, Z Zhang 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019 | 45 | 2019 |
| Heteroflow: An accelerator programming model with decoupled data placement for software-defined fpgas S Xiang, YH Lai, Y Zhou, H Chen, N Zhang, D Pal, Z Zhang Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022 | 30 | 2022 |
| Characterization of ESD risk for wearable devices J Zhou, K Ghosh, S Xiang, X Yan, A Hosseinbeig, J Lee, D Pommerenke IEEE Transactions on Electromagnetic Compatibility 60 (5), 1313-1321, 2018 | 29 | 2018 |
| Dagger: Towards efficient rpcs in cloud microservices with near-memory reconfigurable nics N Lazarev, N Adit, S Xiang, Z Zhang, C Delimitrou IEEE Computer Architecture Letters 19 (2), 134-138, 2020 | 23 | 2020 |
| Understanding the potential of fpga-based spatial acceleration for large language model inference H Chen, J Zhang, Y Du, S Xiang, Z Yue, N Zhang, Y Cai, Z Zhang ACM Transactions on Reconfigurable Technology and Systems, 2024 | 21 | 2024 |
| Allo: A programming model for composable accelerator design H Chen, N Zhang, S Xiang, Z Zeng, M Dai, Z Zhang Proceedings of the ACM on Programming Languages 8 (PLDI), 593-620, 2024 | 13 | 2024 |
| An ESD demonstrator system for evaluating the ESD risks of wearable devices J Zhou, Z Legenzoff, X Yan, S Yang, S Xiang, S Shinde, J Lee, ... 2017 39th Electrical Overstress/Electrostatic Discharge Symposium (EOS/ESD), 1-7, 2017 | 12 | 2017 |
| Accelerator design with decoupled hardware customizations: benefits and challenges D Pal, YH Lai, S Xiang, N Zhang, H Chen, J Casas, P Cocchini, Z Yang, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 1351-1354, 2022 | 6 | 2022 |
| A comprehensive evaluation of fpga-based spatial acceleration of llms H Chen, J Zhang, Y Du, S Xiang, Z Yue, N Zhang, Y Cai, Z Zhang Proceedings of the 2024 ACM/SIGDA International Symposium on Field …, 2024 | 4 | 2024 |
| Dagger: Accelerating RPCs in Cloud Microservices Through Tightly-Coupled Reconfigurable NICs N Lazarev, S Xiang, N Adit, Z Zhang, C Delimitrou arXiv preprint arXiv:2106.01482, 2021 | 1 | 2021 |
| ARIES: An Agile MLIR-Based Compilation Flow for Reconfigurable Devices with AI Engines J Zhuang, S Xiang, H Chen, N Zhang, Z Yang, T Mao, Z Zhang, P Zhou | | 2025 |
| RapidStream IR: Infrastructure for FPGA High-Level Physical Synthesis J Lau, Y Xiao, Y Xie, Y Chi, L Song, S Xiang, M Lo, Z Zhang, J Cong, ... arXiv preprint arXiv:2410.13079, 2024 | | 2024 |
| DATuner: An Extensible Distributed Autotuning Framework for FPGA Design and Design Automation G Liu, E Ustun, S Xiang, C Xu, G Luo, Z Zhang Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018 | | 2018 |
| Dagger: Efficient and Fast RPCs for Cloud Microservices with Near-Memory Reconfigurable NICs Extended Abstract N Lazarev, S Xiang, N Adit, Z Zhang, C Delimitrou | | |
Zhiru ZhangCornell Universitycornell.edu의 이메일 확인됨
