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 ...

Researchers at Los Alamos National Lab have developed new software to distribute computation more efficiently and across increasing numbers of supercomputer processors. This new decomposition approach ...

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.

Students taking the course for COMP_ENG/COMP_SCI-368 credit will work on labs that utilize advanced parallel programming, data layout, and algorithm decomposition concepts.

People will soon be able to experience TikTok without its all-knowing, hyper-personalized algorithm. Will anything change?

Parallel Haplotype Configuration Reduction (pHCR) algorithm steps. * A tuple inside the angle brackets indicate haplotype combination of multiregion interaction model.

The Δ-Motif algorithm leverages open-source libraries such as Pandas and Numpy, and achieves parallel processing on GPUs through NVIDIA's RAPIDS. According to benchmark tests, the algorithm's speed is ...

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 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.