Gemmini: Enabling systematic deep-learning architecture evaluation via full-stack integration H Genc, S Kim, A Amid, A Haj-Ali, V Iyer, P Prakash, J Zhao, D Grubb, ... 2021 58th ACM/IEEE Design Automation Conference (DAC), 769-774, 2021 | 246 | 2021 |
MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks S Kim, H Genc, VV Nikiforov, K Asanović, B Nikolić, YS Shao 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 26 | 2023 |
AuRORA: Virtualized Accelerator Orchestration for Multi-Tenant Workloads S Kim, J Zhao, K Asanovic, B Nikolic, YS Shao Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023 | 11 | 2023 |
RoSÉ: A Hardware-Software Co-Simulation Infrastructure Enabling Pre-Silicon Full-Stack Robotics SoC Evaluation D Nikiforov, SC Dong, CL Zhang, S Kim, B Nikolic, YS Shao Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 10 | 2023 |
DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads S Kim, H Kwon, J Song, J Jo, YH Chen, L Lai, V Chandra Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 4 | 2023 |
AuRORA: A Full-Stack Solution for Scalable and Virtualized Accelerator Integration S Kim, J Zhao, K Asanović, B Nikolić, YS Shao IEEE Micro, 2024 | 1 | 2024 |