Watching for Software Inefficiencies with Witch

Author:

Wen Shasha1,Liu Xu1,Byrne John2,Chabbi Milind3

Affiliation:

1. College of William and Mary, Williamsburg, VA, USA

2. Hewlett Packard Labs, Palo Alto, CA, USA

3. Baidu Research&Scalable Machines Research, Cupertino, CA, USA

Publisher

ACM

Reference2 articles.

1. RFVP

Cited by 18 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. EasyView: Bringing Performance Profiles into Integrated Development Environments;2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO);2024-03-02

2. DrPy: Pinpointing Inefficient Memory Usage in Multi-Layer Python Applications;2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO);2024-03-02

3. TrivialSpy: Identifying Software Triviality via Fine-grained and Dataflow-based Value Profiling;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

4. VClinic: A Portable and Efficient Framework for Fine-Grained Value Profilers;Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2;2023-01-27

5. Graph Neural Networks Based Memory Inefficiency Detection Using Selective Sampling;SC22: International Conference for High Performance Computing, Networking, Storage and Analysis;2022-11

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