Parallel Algorithms for Singular Value Decomposition Publication Trend The graph below shows the total number of publications each year in Parallel Algorithms for Singular Value Decomposition.

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

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.

The department of High-Performance Computing investigates advanced computing methods for complex computations and parallel processing of large amounts of data on high-performance computers and quantum ...

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units). CUDA enables developers to speed up compute ...

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

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.

Then, using CUDA functions for AES parallel encryption; they designed and implemented a fast data encryption system based on GPU. The tests proved that their approach accelerated the speed of AES ...

Advanced Encryption Standard (AES), has received significant interest over the past decade due to its performance and security level. Many hardware ...