Will Constable
Publications by Year
Research Areas
Parallel Computing and Optimization Techniques, Software Testing and Debugging Techniques, Topic Modeling, Software Engineering Research, Interconnection Networks and Systems
Most-Cited Works
- → PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation(2024)509 cited
- → Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning(2018)105 cited
- → TorchBench: Benchmarking PyTorch with High API Surface Coverage(2023)2 cited
- → TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training(2024)
- → Using Python for Model Inference in Deep Learning(2021)