Parallel implementation and computational analysis of the multi-resolution approximation

Our parallelization extends to calculating the prior distribution, posterior distribution, and spatial prediction. We provide an overview of the MRA model and our implementation.

A detailed description of our codebase and schematics are included for ease of reference. In an effort to identify efficient model configurations for datasets of various sizes, we perform timing and memory profiling studies including benchmarking against our serial implementation. To test the scalability of our model, remote sensing data of Sea Surface Temperature (SST) recorded by NASA's AMSR-2 and MODIS satellite instruments on the order of 2.4 million and 2.7 million observations, respectively, are used.