Results 21 to 30 of about 926 (201)

OpenACC-based Snow Simulation [PDF]

, 2013
In recent years, the GPU platform has risen in popularity in high performance com-puting due to its cost effectiveness and high computing power offered through its manyparallel cores. The GPUs computing power can be harnessed using the low-level GPGPUprogramming APIs CUDA and OpenCL. While both CUDA and OpenCL gives the pro-grammer fine-grained control
Mikalsen, Magnus Alvestad
core   +5 more sources

Errors Classification and Static Detection Techniques for Dual-Programming Model (OpenMP and OpenACC)

IEEE Access, 2022
Recently, incorporating more than one programming model into a system designed for high performance computing (HPC) has become a popular solution to implementing parallel systems. Since traditional programming languages, such as C, C++, and
Huda Saleh Basloom, Mohamed Yehia Dahab, Ahmed Mohammed Alghamdi, Fathy Elbouraey Eassa, Abdullah Saad Al-Malaise Al-Ghamdi, Seif Haridi   +5 more
doaj   +1 more source

OpenACC Parallelization of Stochastic Simulations on GPUs

IEICE Transactions on Information and Systems, 2019
Pilsung Kang
exaly   +3 more sources

On the Efficiency of OpenACC-aided GPU-Based FDTD Approach: Application to Lightning Electromagnetic Fields

Applied Sciences, 2020
An open accelerator (OpenACC)-aided graphics processing unit (GPU)-based finite difference time domain (FDTD) method is presented for the first time for the 3D evaluation of lightning radiated electromagnetic fields along a complex terrain with arbitrary
Sajad Mohammadi, Hamidreza Karami, Mohammad Azadifar, Farhad Rachidi   +3 more
doaj   +1 more source

Directive-based GPU programming with OpenACC [PDF]

, 2022
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GPUs offers high application performance by offloading compute-intensive portions of the code to the GPU.
Herten, Andreas, Kraus, Jiri, Hater, Thorsten, Hrywniak, Markus, Meinke, Jan, Haghighi Mood, Kaveh   +5 more
core   +1 more source

An MPI+OpenACC-Based PRM Scalar Advection Scheme in the GRAPES Model over a Cluster with Multiple CPUs and GPUs

Tsinghua Science and Technology, 2022
A moisture advection scheme is an essential module of a numerical weather/climate model representing the horizontal transport of water vapor. The Piecewise Rational Method (PRM) scalar advection scheme in the Global/Regional Assimilation and Prediction ...
Huadong Xiao, Yang Lu, Jianqiang Huang, Wei Xue   +3 more
doaj   +1 more source

Directive-Based GPU Programming With OpenACC [PDF]

, 2020
OpenACC is a directive-based programming model for highly parallel systems, which allows for automated generation of portable GPU code. With its high level approach, OpenACC can be used to productively port serial applications to many-core-systems.
Herten, Andreas, Andreas Herten
core   +1 more source

Massive-Parallel Trajectory Calculations version 2.2 (MPTRAC-2.2): Lagrangian transport simulations on graphics processing units (GPUs) [PDF]

Geoscientific Model Development, 2022
Lagrangian models are fundamental tools to study atmospheric transport processes and for practical applications such as dispersion modeling for anthropogenic and natural emission sources.
L. Hoffmann, P. F. Baumeister, Z. Cai, Z. Cai, J. Clemens, J. Clemens, S. Griessbach, G. Günther, Y. Heng, M. Liu, K. Haghighi Mood, O. Stein, N. Thomas, B. Vogel, X. Wu, X. Wu, L. Zou   +16 more
doaj   +1 more source

GPU Accelerated Hybrid Particle-Field Molecular Dynamics: Multi-Node/Multi-GPU Implementation and Large-Scale Benchmarks of the OCCAM Code. [PDF]

J Comput Chem
A GPU‐resident parallelization of OCCAM code, suitable for multi‐node architectures, is proposed for hybrid particle‐field molecular dynamics. During simulations, excluding initialization steps, no further data exchanges between the CPU and GPU are performed, and communication operates only among GPUs.
Esposito R, Mensitieri G, Zhou YL, Lu ZY, Zhao Y, Kawakatsu T, Milano G.   +6 more
europepmc   +2 more sources

Accelerating Spark-Based Applications with MPI and OpenACC

Complexity, 2021
The amount of data produced in scientific and commercial fields is growing dramatically. Correspondingly, big data technologies, such as Hadoop and Spark, have emerged to tackle the challenges of collecting, processing, and storing such large-scale data.
Saeed Alshahrani, Waleed Al Shehri, Jameel Almalki, Ahmed M. Alghamdi, Abdullah M. Alammari   +4 more
doaj   +1 more source