GPU Acceleration of CFD Algorithm: HSMAC and SIMPLE
نویسندگان
چکیده
منابع مشابه
Acceleration of a CFD code with a GPU
The Computational Fluid Dynamics code Overflow includes as one of its solver options an algorithm which is a fairly small piece of code but which accounts for a significant portion of the total computational time. This paper studies some of the issues in accelerating the code by using a Graphics Processing Unit (GPU). The algorithm needs to be modified to be suitable for a GPU, and attention ne...
متن کاملGPU-based acceleration of an RNA tertiary structure prediction algorithm
Experimental techniques such as X-ray crystallography and nuclear magnetic resonance have been useful for the accurate determination of RNA tertiary structures. However, high-throughput structure determination using such methods often becomes difficult, due to the need for a large quantity of pure samples. Computational techniques for the prediction of RNA tertiary structures are thus becoming ...
متن کاملEvaluating the Power of GPU Acceleration for IDW Interpolation Algorithm
We first present two GPU implementations of the standard Inverse Distance Weighting (IDW) interpolation algorithm, the tiled version that takes advantage of shared memory and the CDP version that is implemented using CUDA Dynamic Parallelism (CDP). Then we evaluate the power of GPU acceleration for IDW interpolation algorithm by comparing the performance of CPU implementation with three GPU imp...
متن کاملMulti-Grid Acceleration of a SIMPLE-Based CFD-Code and Aspects of Parallelization
The present study treats the calculation of the continuous phase of a multiphase flow, i.e. the numerical solution of the equations for a turbulent incompressible flow. An existing SIMPLE based Single–Grid algorithm is improved applying the Multi–Grid Method. Numerical experiments for two test cases with up to 3 174 400 finite volumes show the features of the new algorithm, the effect of its pa...
متن کاملLHCb GPU acceleration project
The LHCb detector is due to be upgraded for processing high-luminosity collisions, which will increase data bandwidth to the event filter farm from 100GB/s to 4 TB/s, encouraging us to look for new ways of accelerating Online reconstruction. The Coprocessor Manager is a new framework for integrating LHCb’s existing computation pipelines with massively parallel algorithms running on GPUs and oth...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2017
ISSN: 1877-0509
DOI: 10.1016/j.procs.2017.05.124