Parker Schuh
Publications by Year
Research Areas
Software Testing and Debugging Techniques, Parallel Computing and Optimization Techniques, Software System Performance and Reliability, Software Reliability and Analysis Research, Web Application Security Vulnerabilities
Most-Cited Works
- → PaLM: Scaling Language Modeling with Pathways(2022)2,124 cited
- → TypeDevil: dynamic type inconsistency analysis for JavaScript(2015)52 cited
- → EventBreak(2014)42 cited
- → Pathways: Asynchronous Distributed Dataflow for ML(2022)37 cited
- EventBreak: Analyzing the Responsiveness of User Interfaces through Performance-Guided Test Generation.(2015)
- → LazyTensor: combining eager execution with domain-specific compilers(2021)6 cited
- → Swift for TensorFlow: A portable, flexible platform for deep learning(2021)3 cited