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

Embodied intelligence applications, such as autonomous robotics and smart transportation systems, require efficient coordination of multiple agents in dynamic environments. A critical challenge in ...

Parallel prefix sum / vector reduction. This lab focuses on the application of efficient parallel algorithms that utilize shared memory and synchronization and minimize path divergence. 2D convolution ...

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.

Important parallel algorithms and data structures will be discussed, including the notion of lock-free data structures. Note that this class lightly touches upon GPU programming; students primarily ...

Parallel tempering is a generic Markov chain Monte Carlo sampling method which allows good mixing with multimodal target distributions, where conventional Metropolis-Hastings algorithms often fail.

NICHOLAS G. TAWN, GARETH O. ROBERTS, ACCELERATING PARALLEL TEMPERING: QUANTILE TEMPERING ALGORITHM (QUANTA), Advances in Applied Probability, Vol. 51, No. 3 ...