Results 41 to 50 of about 55,131 (288)

Using a GPU to Accelerate a Longwave Radiative Transfer Model with Efficient CUDA-Based Methods

Applied Sciences, 2019
Climatic simulations rely heavily on high-performance computing. As one of the atmospheric radiative transfer models, the rapid radiative transfer model for general circulation models (RRTMG) is used to calculate the radiative transfer of electromagnetic
Yuzhu Wang, Yuan Zhao, Wei Li, Jinrong Jiang, Xiaohui Ji, Albert Y. Zomaya   +5 more
doaj   +1 more source

Application of an Improved GPU Acceleration Strategy for the Smoothed Particle Hydrodynamics Method

Shanghai Jiaotong Daxue xuebao, 2023
In order to solve the problem of graphics processing unit (GPU) memory access conflicts possibly caused by the disorder of particles and enhance the computation efficiency, an improved GPU acceleration strategy is proposed by establishing particle ...
GUAN Yanmin, YANG Caihong, KANG Zhuang, ZHOU Li
doaj   +1 more source

Density Functional Theory calculation on many-cores hybrid CPU-GPU architectures [PDF]

, 2009
The implementation of a full electronic structure calculation code on a hybrid parallel architecture with Graphic Processing Units (GPU) is presented. The code which is on the basis of our implementation is a GNU-GPL code based on Daubechies wavelets. It
Alexey Neelov, Goedecker S., Jean-François Méhaut, Luigi Genovese, Matthieu Ospici, Stefan Goedecker, Thierry Deutsch   +6 more
core   +5 more sources

Accelerating GPU betweenness centrality [PDF]

Communications of the ACM, 2018
Graphs that model social networks, numerical simulations, and the structure of the Internet are enormous and cannot be manually inspected. A popular metric used to analyze these networks is Betweenness Centrality (BC), which has applications in community detection, power grid contingency analysis, and the study of the human brain.
McLaughlin, Adam, Bader, David A
openaire   +3 more sources

Optimized Hybrid Central Processing Unit–Graphics Processing Unit Workflow for Accelerating Advanced Encryption Standard Encryption: Performance Evaluation and Computational Modeling

Applied Sciences
This study addresses the growing demand for scalable data encryption by evaluating the performance of AES (Advanced Encryption Standard) encryption and decryption using CBC (Cipher Block Chaining) and CTR (Counter Mode) modes across various CPU (Central ...
Min Kyu Yang, Jae-Seung Jeong
doaj   +1 more source

Virtual Simulation of Pedicle Screw Placement Based on GPU Acceleration

Journal of Harbin University of Science and Technology, 2021
The virtual surgery simulation training system of pedicle screw placement has the problems of high computational difficulty，low visual and tactile refresh rate and poor operability，which leads to poor effect of surgical training.
XUE Bao-shan, ZHANG Feng-feng, YAN Xiao-jian, CHEN Jun   +3 more
doaj   +1 more source

Three Dimensional Pseudo-Spectral Compressible Magnetohydrodynamic GPU Code for Astrophysical Plasma Simulation

, 2018
This paper presents the benchmarking and scaling studies of a GPU accelerated three dimensional compressible magnetohydrodynamic code. The code is developed keeping an eye to explain the large and intermediate scale magnetic field generation is cosmos as
Ganesh, Rajaraman, Maurya, Udaya, Mukherjee, Rupak, Saini, Vinod, Sharma, Bharatkumar, Vydyanathan, Nagavijayalakshmi   +5 more
core   +1 more source

Landau Gauge Fixing on GPUs

, 2012
In this paper we present and explore the performance of Landau gauge fixing in GPUs using CUDA. We consider the steepest descent algorithm with Fourier acceleration, and compare the GPU performance with a parallel CPU implementation. Using $32^4$ lattice
Babich, Bogolubsky, Boucaud, Bowman, Cardoso, Clark, Cucchieri, Cucchieri, Davies, Dudal, Edwards, Elitzur, Furui, Giusti, Martinelli, Nuno Cardoso, Oliveira, Oliveira, Oliveira, Orlando Oliveira, Paulo J. Silva, Pedro Bicudo, Schrock   +22 more
core   +1 more source

GPU Acceleration for FHEW/TFHE Bootstrapping

Transactions on Cryptographic Hardware and Embedded Systems
Fully Homomorphic Encryption (FHE) allows computations to be performed directly on encrypted data without decryption. Despite its great theoretical potential, the computational overhead remains a major obstacle for practical applications.
Yu Xiao, Feng-Hao Liu, Yu-Te Ku, Ming-Chien Ho, Chih-Fan Hsu, Ming-Ching Chang, Shih-Hao Hung, Wei-Chao Chen   +7 more
doaj   +1 more source

DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis

, 2019
Training convolutional neural networks (CNNs) requires intense compute throughput and high memory bandwidth. Especially, convolution layers account for the majority of the execution time of CNN training, and GPUs are commonly used to accelerate these ...
Chatterjee, Niladrish, Erez, Mattan, Lee, Donghyuk, Lym, Sangkug, O'Connor, Mike   +4 more
core   +1 more source