MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks-Reference-Cited by-同舟云学术

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

Published:2023-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
language:
Short-container-title:

Author:

Kim Seah¹,Genc Hasan¹,Nikiforov Vadim Vadimovich¹,Asanović Krste¹,Nikolić Borivoje¹,Shao Yakun Sophia¹

Affiliation:

1. University of California,Berkeley

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10070856/10070923/10071035.pdf?arnumber=10071035

Reference53 articles.

1. Quasar

2. Paragon

3. Fairness via Source Throttling

4. BERT: pre-training of deep bidirectional transformers for language understanding;devlin;CoRR,2018

5. Kelp: Qos for accelerators in machine learning platforms;zhu;Proceedings of the International Symposium on High-Performance Computer Architecture (HPCA),2019

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AuRORA: A Full-Stack Solution for Scalable and Virtualized Accelerator Integration;IEEE Micro;2024-07

2. sNPU: Trusted Execution Environments on Integrated NPUs;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

3. Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

4. Shared Memory-contention-aware Concurrent DNN Execution for Diversely Heterogeneous System-on-Chips;Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming;2024-02-20

5. M2M: A Fine-Grained Mapping Framework to Accelerate Multiple DNNs on a Multi-Chiplet Architecture;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024