Results 81 to 90 of about 401,991 (182)

GPU-based parallel programming for FEM analysis in the optimization of steel frames

Journal of Asian Architecture and Building Engineering
Optimization of large-scale frame structures consumes a vast amount of time since the analysis of such complex systems contains several iterative processes.
Tevfik Oğuz Örmecioğlu, İbrahim Aydoğdu, Hilal Tuğba Örmecioğlu   +2 more
doaj   +1 more source

Bayesian Optimization With GPU Acceleration for Ocean Models

Journal of Geophysical Research: Machine Learning and Computation
Ocean general circulation models (OGCMs) contain numerous parameterizations of subgrid scale processes. The parameter tuning procedure is rarely reported and often done by hand.
Marta Agnieszka Mrozowska, James Avery, Aster Stoustrup, Roman Nuterman, Carl‐Johannes Johnsen, Asger Thormann, Markus Jochum   +6 more
doaj   +1 more source

UniFL: Accelerating Federated Learning Using Heterogeneous Hardware Under a Unified Framework

IEEE Access
Federated learning (FL) is now considered a critical method for breaking down data silos. However, data encryption can significantly increase computing time, limiting its large-scale deployment.
Biyao Che, Zixiao Wang, Ying Chen, Liang Guo, Yuan Liu, Yuan Tian, Jizhuang Zhao   +6 more
doaj   +1 more source

Workload-Driven Data Placement for GPU-Accelerated Database Management Systems

, 2019
An increase in the memory capacity of current Graphics Processing Unit (GPU) generations and advances in multi-GPU systems enables a large unified GPU memory space to be utilized by modern coprocessor-accelerated Database Management System (DBMS).
Schmidt, Christopher, Uflacker, Matthias
core   +1 more source

Multi-GPU accelerated hydrodynamic model for rapid and high-resolution urban flood simulation

Shui kexue jinzhan
Traditional hydrodynamic models are often constrained by low computational efficiency，making it difficult to meet the demands of large-scale，high-accuracy flood forecasting and warning.
Boliang DONG, Chao TAN, Junqiang XIA, Shuailing GAO, Peifeng WANG, Siyuan LYU   +5 more
doaj   +1 more source

VeloFHE: GPU Acceleration for FHEW and TFHE Bootstrapping

Transactions on Cryptographic Hardware and Embedded Systems
Bit-wise Fully Homomorphic Encryption schemes like FHEW and TFHE offer efficient functional bootstrapping, enabling concurrent function evaluation and noise reduction.
Shiyu Shen, Hao Yang, Zhe Liu, Ying Liu, Xianhui Lu, Wangchen Dai, Lu Zhou, Yunlei Zhao, Ray C. C. Cheung   +8 more
doaj   +1 more source

GPU-Based Acceleration on ACEnet for FDTD Method of Electromagnetic Field Analysis

, 2013
This is the thesis of my Master of Applied Science work at Dalhousie University.Graphics Processing Unit (GPU) programming techniques have been applied to a range of scientific and engineering computations.
Sun, Dachuan
core  

ACCELERATING ORE SINTERING MATHEMATICAL MODEL USING GPU

Компютерні системи та інформаційні технології
The study aims to enhance the efficiency and computational speed of the ore sintering model through the utilization of graphics processing units (GPUs).
Kyrylo KRASNIKOV
doaj   +1 more source

Exploring GPGPU Acceleration of Process-Oriented Simulations [PDF]

, 2013
This paper reports on our experiences of using commodity GPUs to speed-up the execution of fine-grained concurrent simulations. Starting with an existing process-oriented `boids' simulation, we explore a variety of techniques aimed at improving ...
Pressnell, Thomas, Barnes, Frederick R.M., Le Foll, Brendan   +2 more
core   +1 more source

Accelerating an implicit ocean model using CUDA C

Applied Ocean Research
In this study, we developed an ocean model named GPU-IOCASM (GPU-Implicit Ocean Current and Storm Surge Model), which employs the finite difference method with implicit iteration to ensure simulation stability.
Jianbin Xie, Xingru Feng, Tianhai Gao, Changming Dong, Baoshu Yin, Changmao Wu   +5 more
doaj   +1 more source