The results indicate that block-level matching recognition substantially reduces misclassification compared to pixel-level methods, achieving over 60% accuracy across four study areas. The ...

Developing effective yet scalable load-balancing methods for irregular computations is critical to the successful application of simulations in a variety of disciplines at petascale and beyond. This ...