NVIDIA CUDA parallel algorithm libraries The three libraries for parallel algorithms all have different purposes.

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.

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 ...

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 ...

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 ...