Multi-Tenant Deep Learning Acceleration with Competitive GPU Resource Sharing
Author:
Affiliation:
1. George Mason University,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10207168/10207203/10207342.pdf?arnumber=10207342
Reference8 articles.
1. Mystic: Predictive Scheduling for GPU Based Cloud Servers Using Machine Learning
2. Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems
3. Round robin scheduling – a survey
4. NVIDIA Multi-Instance GPU User Guide;inc,2021
5. Efficient GPU Spatial-Temporal Multitasking
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1. A Load Balance Scheduling Approach for Generative AI on Cloud-Native Environments with Heterogeneous Resources;2024 10th International Conference on Applied System Innovation (ICASI);2024-04-17
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