About
Contact & Profiles
A5049708678
Research Areas
- Aquatic Ecosystems and Phytoplankton Dynamics
- Software Testing and Debugging Techniques
- Heavy metals in environment
- Soil and Water Nutrient Dynamics
- Environmental Science and Water Management
- Environmental Toxicology and Ecotoxicology
- Software Engineering Research
- Heavy Metal Exposure and Toxicity
- Arsenic contamination and mitigation
- Parallel Computing and Optimization Techniques
- Phosphorus and nutrient management
Menlo School
2024
Hohai University
2022-2023
This paper introduces two extensions to the popular PyTorch machine learning framework, TorchDynamo and TorchInductor, which implement torch.compile feature released in 2. is a Python-level just-in-time (JIT) compiler that enables graph compilation programs without sacrificing flexibility of Python. It achieves this by dynamically modifying Python bytecode before execution extracting sequences operations into an FX graph, then JIT compiled using one many extensible backends. TorchInductor...
10.1145/3620665.3640366
article
EN
2024-04-22
10.1016/j.envres.2023.116060
article
EN
Environmental Research
2023-05-04
10.1016/j.ecoleng.2022.106788
article
EN
Ecological Engineering
2022-09-21
10.1016/j.envpol.2023.123161
article
EN
Environmental Pollution
2023-12-15
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