MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks

10 May 2023

Papers citing "MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks"

6 / 6 papers shown

Title
CaMDN: Enhancing Cache Efficiency for Multi-tenant DNNs on Integrated NPUs Tianhao Cai Liang Wang Limin Xiao Meng Han Zeyu Wang L. Sun Xiaojian Liao 14 0 0 10 May 2025
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators Mohanad Odema Luke Chen Hyoukjun Kwon Mohammad Abdullah Al Faruque 19 4 0 01 May 2024
Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems F. G. Blanco Enrico Russo M. Palesi Davide Patti G. Ascia V. Catania 28 3 0 13 Apr 2024
Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning Enrico Russo F. G. Blanco M. Palesi G. Ascia Davide Patti V. Catania 9 1 0 09 Feb 2024
H-EYE: Holistic Resource Modeling and Management for Diversely Scaled Edge-Cloud Systems Ismet Dagli Amid Morshedlou Jamal Rostami M. E. Belviranli 13 0 0 07 Feb 2024
Shared Memory-contention-aware Concurrent DNN Execution for Diversely Heterogeneous System-on-Chips Ismet Dagli M. E. Belviranli 19 8 0 10 Aug 2023