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The special section is dedicated to parallel and distributed computing (PDC) techniques for AI/ML/DL. That includes both “PDC for AI/ML/DL”- and “AI/ML/DL for PDC”-oriented articles (please see the description above). Topics of interest include, but are not limited to:
- AI/ML/DL for PDC and PDC for AI/ML/DL
- Data parallelism and model parallelism
- Efficient hardware for AI, ML, and DL
- Hardware-efficient training and inference
- Performance modeling of AI/ML/DL applications
- Scalable optimization methods for AI/ML/DL
- Scalable hyper-parameter optimization
- Scalable neural architecture search
- Scalable IO for AI/ML/DL
- Systems, compilers, and languages for AI/ML/DL at scale
- Testing, debugging, and profiling AI/ML/DL applications
- Visualization for AI/ML/DL at scale
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