SPHINX: Search Space-Pruning Heterogeneous Task Scheduling for Deep Neural Networks
Author:
Affiliation:
1. Shanghai Enflame Intelligence Technologies Co.,Ltd, China
2. Shanghai Enflame Intelligence Technologies Co.,Ltd, China and School of Software, Shanghai Jiao Tong University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3673038.3673155
Reference40 articles.
1. A Deadline Constrained Critical Path Heuristic for Cost-Effectively Scheduling Workflows
2. ImGA: an improved genetic algorithm for partitioned scheduling on heterogeneous multi-core systems
3. James E Baker 1987. Reducing bias and inefficiency in the selection algorithm. In Proceedings of the second international conference on genetic algorithms, Vol. 206. 14–21.
4. DAG Scheduling Using a Lookahead Variant of the Heterogeneous Earliest Finish Time Algorithm
5. Shaileshh Bojja Venkatakrishnan, Shreyan Gupta, Hongzi Mao, Mohammad Alizadeh, 2019. Learning Generalizable Device Placement Algorithms for Distributed Machine Learning. Advances in Neural Information Processing Systems 32 (2019).
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