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 ...

Week 5: Putting everything to work: Parallel Reductions. Topics include: global synchronization, kernel decomposition, memory coalescing, non-divergent branching, eliminating shared-memory bank ...

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.

According to the company, the parallel offset method in the context of Artist Studio is an implementation based on a mesh representation of the surface. The task of creating “parallel offset” curves ...

TikTok’s algorithm knows. People speak of the unseen program governing the platform’s “For You” page, where videos populate based on ones you’ve previously interacted with, as an ...

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

Btażej Miasojedow, Eric Moulines, Matti Vihola, An Adaptive Parallel Tempering Algorithm, Journal of Computational and Graphical Statistics, Vol. 22, No. 3, Special Issue: Advances in Markov Chain ...

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

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