Results 31 to 40 of about 55,131 (288)
Design of GPU Network-on-Chip for Real-Time Video Super-Resolution Reconstruction
Deep learning has a better output quality compared with traditional algorithms for video super-resolution (SR), but the network model needs large resources and has poor real-time performance.
Zhiyong Peng, Jiang Du, Yulong Qiao
doaj +1 more source
Air pollution modelling using a graphics processing unit with CUDA [PDF]
The Graphics Processing Unit (GPU) is a powerful tool for parallel computing. In the past years the performance and capabilities of GPUs have increased, and the Compute Unified Device Architecture (CUDA) - a parallel computing architecture - has been ...
Lagzi, Istvan +3 more
core +2 more sources
Accelerating SSL with GPUs [PDF]
SSL/TLS is a standard protocol for secure Internet communication. Despite its great success, today's SSL deployment is largely limited to security-critical domains. The low adoption rate of SSL is mainly due to high computation overhead on the server side. In this paper, we propose Graphics Processing Units (GPUs) as a new source of computing
Jang, K Jang, Keon +4 more
openaire +3 more sources
Acceleration of Coarse Grain Molecular Dynamics on GPU Architectures [PDF]
Coarse grain (CG) molecular models have been proposed to simulate complex sys- tems with lower computational overheads and longer timescales with respect to atom- istic level models.
Anderson +39 more
core +1 more source
GPU Accelerated RNA Folding Algorithm [PDF]
Many bioinformatics studies require the analysis of RNA or DNA structures. More specifically, extensive work is done to elaborate efficient algorithms able to predict the 2-D folding structures of RNA or DNA sequences. However, the high computational complexity of the algorithms, combined with the rapid increase of genomic data, triggers the need of ...
Rizk, Guillaume, Lavenier, Dominique
openaire +2 more sources
Lightweight GPU-Accelerated Parallel Processing of the SCHISM Model Using CUDA Fortran
The SCHISM model is widely used for ocean numerical simulations, but its computational efficiency is constrained by the substantial resources it requires.
Hongchun Zhang +7 more
doaj +1 more source
GPU-Based Acceleration for Interior Tomography
The compressive sensing (CS) theory shows that real signals can be exactly recovered from very few samplings. Inspired by the CS theory, the interior problem in computed tomography is proved uniquely solvable by minimizing the region-of-interest's total ...
Rui Liu, Yan Luo, Hengyong Yu
doaj +1 more source
A GPU-based Transient Stability Simulation using Runge-Kutta Integration Algorithm [PDF]
Graphics processing units (GPU) have been investigated to release the computational capability in various scientific applications. Recent research shows that prudential consideration needs to be given to take the advantages of GPUs while avoiding the ...
Hou, Y, Qin, Z
core +1 more source
Acceleration of stereo-matching on multi-core CPU and GPU [PDF]
This paper presents an accelerated version of a dense stereo-correspondence algorithm for two different parallelism enabled architectures, multi-core CPU and GPU.
Cockshott, Paul +2 more
core +1 more source
Computational fluid dynamics (CFD) has become increasingly prevalent in marine and offshore engineering, with enhancing simulation efficiency emerging as a critical challenge.
Yue Zhu +3 more
doaj +1 more source

