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 ...

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 ...

In this video, Peter Sanders from Karlsruhe Institute of Technology presents: Parallel Algorithms Reconsidered. Parallel algorithms have been a subject of intensive algorithmic research in the 1980s.

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 ...

It is well known that traditional Markov chain Monte Carlo (MCMC) methods can fail to effectively explore the state space for multimodal problems. Parallel tempering is a well-established population ...

Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 (8 pages) Abstract: Land use planning seeks to divide land, the most valuable resource in the hands of ...

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 ...