Forecast Model for Scheduling an HPC Application on CPU and GPU Architecture
Author:
Affiliation:
1. BMS Institute of Technology & Management,Artificial Intelligence and Machine Learning,Benguluru
2. Nitte Meenakshi Institute of Technology,Information Science & Engineering,Benguluru
3. Reva University,School of Management,Bengaluru
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10205372/10205375/10205724.pdf?arnumber=10205724
Reference16 articles.
1. KubeShare: A Framework to Manage GPUs as First-Class and Shared Resources in Container Cloud
2. Characterization and prediction of performance interference on mediated passthrough GPUs for interference-aware scheduler;xu;Proc 11th USENIX Conf Hot Topics Cloud Comput,2019
3. Prediction Model of an HPC Application on CPU-GPU Cluster using Machine Learning Techniques
4. Performance Framework for HPC Applications on Homogeneous Computing Platform;chandrashekhar;International Journal of Image Graphics and Signal Processing (IJIGSP) MECS Press Publishers,2019
5. Mystic: Predictive Scheduling for GPU Based Cloud Servers Using Machine Learning
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