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Template Task-Based Multiresolution Analysis in Hybrid Environments
DescriptionWe present a framework that implements multiresolution analysis (MRA) on top of Template Task Graph (TTG), a distributed, task-based data-flow programming model. MRA is broadly applied across scientific domains for its ability to capture both local and global features with high accuracy, and its adaptive tree-based structure maps naturally onto data-flow execution models. TTG addresses central challenges in modern high performance computing by improving programmer productivity and enabling performance portability across heterogeneous architectures. To the best of our knowledge, this ongoing work is the first demonstration of a multiwavelet-based MRA achieving substantial performance gains on GPUs. We will present our work using visual artifacts in the poster to demonstrate the challenges and proposed solution.