ShardTensor ShardTensor: Unlocking Extreme-Resolution Data for Scientific Machine Learning Explore ShardTensor, a novel domain parallelism framework enabling high-fidelity AI training and inference on extreme-resolution scientific data, overcoming GPU memory limitations for critical applications.
Graph Edit Distance Accelerating Graph Edit Distance: Revolutionizing Complex Data Comparison with GPU Power Explore FAST-GED, a GPU-accelerated framework that achieves unprecedented speed and accuracy in Graph Edit Distance computation, transforming AI, bioinformatics, and pattern recognition.
Physics-Informed Neural Networks Advancing Fluid Dynamics: How Distributed AI Reconstructs Complex Flow Fields Explore how distributed Physics-Informed Neural Networks (PINNs) with domain decomposition overcome computational hurdles to reconstruct fluid flow fields from sparse data, offering scalable, high-fidelity insights for industry.
