Graph Neural Networks Based Memory Inefficiency Detection Using Selective Sampling
Author:
Affiliation:
1. TikTok Inc.,CA,USA
2. Peking University,Beijing,China
3. Michigan Technological University,Houghton,MI,USA
4. North Carolina State University,Raleigh,NC,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10046045/10045783/10046134.pdf?arnumber=10046134
Reference63 articles.
1. Learning memory access patterns;hashemi;Proceedings of the 35th International Conference on Machine Learning ser Proceedings of Machine Learning Research,2018
2. Dynamic neural program embeddings for program repair;wang;International Conference on Learning Representations,2018
3. Dynamic branch prediction with perceptrons
4. Exploring GNN based program embedding technologies for binary related tasks
5. Gated graph sequence neural networks;li;Proceedings of ICLR’,2016
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