| DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference U Gupta, S Hsia, V Saraph, X Wang, B Reagen, GY Wei, HHS Lee, ... 2020 47th ACM/IEEE Annual International Symposium on Computer Architecture …, 2020 | 169 | 2020 |
| RecSSD: near data processing for solid state drive based recommendation inference M Wilkening, U Gupta, S Hsia, C Trippel, CJ Wu, D Brooks, GY Wei 2021 26th ACM International Conference on Architectural Support for …, 2021 | 89 | 2021 |
| Cross-Stack Workload Characterization of Deep Recommendation Systems S Hsia, U Gupta, M Wilkening, CJ Wu, GY Wei, D Brooks 2020 IEEE International Symposium on Workload Characterization (IISWC), 2020 | 32 | 2020 |
| RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance U Gupta, S Hsia, M Wilkening, J Pombra, HHS Lee, GY Wei, CJ Wu, ... 2021 54th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2021 | 31 | 2021 |
| MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation S Hsia, U Gupta, B Acun, N Ardalani, P Zhong, GY Wei, D Brooks, CJ Wu 2023 28th ACM International Conference on Architectural Support for …, 2023 | 6 | 2023 |
| Characterizing the Scalability of Graph Convolutional Networks on Intel® PIUMA MJ Adiletta, JJ Tithi, EI Farsarakis, G Gerogiannis, R Adolf, R Benke, ... 2023 IEEE International Symposium on Performance Analysis of Systems and …, 2023 | 4 | 2023 |
| Generative AI Beyond LLMs: System Implications of Multi-Modal Generation A Golden, S Hsia, F Sun, B Acun, B Hosmer, Y Lee, Z DeVito, J Johnson, ... arXiv preprint arXiv:2312.14385, 2023 | | 2023 |
| MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems S Hsia, A Golden, B Acun, N Ardalani, Z DeVito, GY Wei, D Brooks, CJ Wu arXiv preprint arXiv:2310.02784, 2023 | | 2023 |
| Cross-Stack Characterization and Solid State Drive-Based Near Data Processing for Recommendation Workloads S Hsia, M Wilkening, U Gupta, C Trippel, Wu, Carole-Jean, D Brooks, ... Boston Area Architecture Workshop 2021, 2021 | | 2021 |
| RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference Extended Abstract M Wilkening, U Gupta, S Hsia, C Trippel, CJ Wu, D Brooks, GY Wei | | |
Gu-Yeon WeiRobert and Suzanne Case Professor of EE and CS, Harvard UniversityVerified email at eecs.harvard.edu
