Refty

Author:

Gao Yanjie1,Li Zhengxian1,Lin Haoxiang1,Zhang Hongyu2,Wu Ming3,Yang Mao1

Affiliation:

1. Microsoft Research, China

2. The University of Newcastle, Australia

3. Shanghai Tree-Graph Blockchain Research Institute, China

Publisher

ACM

Reference86 articles.

1. Martín Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , 2016 . TensorFlow: A System for Large-Scale Machine Learning. In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16) . USENIX Association, Savannah, GA, 265--283. https://www.usenix.org/conference/osdi16/technical-sessions/presentation/abadi Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al. 2016. TensorFlow: A System for Large-Scale Machine Learning. In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16). USENIX Association, Savannah, GA, 265--283. https://www.usenix.org/conference/osdi16/technical-sessions/presentation/abadi

2. Periklis Akritidis , Manuel Costa , Miguel Castro , and Steven Hand . 2009 . Baggy Bounds Checking: An Efficient and Backwards-Compatible Defense against out-of-Bounds Errors . In Proceedings of the 18th Conference on USENIX Security Symposium ( Montreal, Canada) (SSYM '09). USENIX Association, USA, 51--66. Periklis Akritidis, Manuel Costa, Miguel Castro, and Steven Hand. 2009. Baggy Bounds Checking: An Efficient and Backwards-Compatible Defense against out-of-Bounds Errors. In Proceedings of the 18th Conference on USENIX Security Symposium (Montreal, Canada) (SSYM '09). USENIX Association, USA, 51--66.

3. Scarlett

4. What you always wanted to know about Datalog (and never dared to ask)

5. Typesafe abstractions for tensor operations (short paper)

Cited by 2 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. Dynamic Inference of Likely Symbolic Tensor Shapes in Python Machine Learning Programs;Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice;2024-04-14

2. An Empirical Study on Low GPU Utilization of Deep Learning Jobs;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12

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