Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8326505/8326983/08327013.pdf?arnumber=8327013
Cited by 34 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. MSHGN: Multi-scenario adaptive hierarchical spatial graph convolution network for GPU utilization prediction in heterogeneous GPU clusters;Journal of Parallel and Distributed Computing;2024-02
2. Cluster-aware scheduling in multitasking GPUs;Real-Time Systems;2023-11-22
3. Snake: A Variable-length Chain-based Prefetching for GPUs;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28
4. BARM: A Batch-Aware Resource Manager for Boosting Multiple Neural Networks Inference on GPUs With Memory Oversubscription;IEEE Transactions on Parallel and Distributed Systems;2022-12-01
5. OSM: Off-Chip Shared Memory for GPUs;IEEE Transactions on Parallel and Distributed Systems;2022-12-01
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