Parallel algorithms for singular value decomposition (SVD) have risen to prominence as an indispensable tool in high-performance numerical linear algebra. They offer significant improvements in the ...

The generation of high-quality meshes is a critical step in numerous computational simulations, and recent innovations have focused on leveraging parallel computing to accelerate the Delaunay mesh ...

Based on complex numerical algorithms programs are used in many areas of life. They track changes in stock prices of companies on the largest stock exchanges, solve complex logistic problems while ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...