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Scaling Unet in Pytorch

GRAFFITI is a high-performance CUDA-based simulation framework for modeling dust evolution in astrophysical disks. It leverages GPU parallelization to simulate millions of dust particles using the Lagrangian super-particle approach, including dynamics, collisions, diffusion, and radiative processes.

Co-occurrence matrices act as the input to many unsupervised learning algorithms, including those that learn word embedding, and modern spectral topic models. However, the computation of these inputs often takes longer time than the inference. While much thought has been given to implementing fast learning algorithms. The co-occurrence matrix co…

ParallelPerformance – Benchmarking CPU vs. GPU performance with CUDA and OpenMP for optimized parallel execution of computational algorithms.