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GTC ON-DEMAND

Presentation
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Abstract:
The present study deals with porting scalable parallel CFD application HiFUN on NVIDIA Graphics Processing Unit (GPU) using an off-load strategy. The present strategy focuses on improving single node performance of the HiFUN solver with the help of GPUs. This work clearly brings out the efficacy of the off-load strategy using OpenACC directives on GPUs and may be considered as one of the attractive models for porting legacy CFD codes on GPU based HPC and Supercomputing platform.
The present study deals with porting scalable parallel CFD application HiFUN on NVIDIA Graphics Processing Unit (GPU) using an off-load strategy. The present strategy focuses on improving single node performance of the HiFUN solver with the help of GPUs. This work clearly brings out the efficacy of the off-load strategy using OpenACC directives on GPUs and may be considered as one of the attractive models for porting legacy CFD codes on GPU based HPC and Supercomputing platform.  Back
 
Topics:
Algorithms & Numerical Techniques, Computational Fluid Dynamics, Computer Aided Engineering
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8799
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Abstract:
The present study deals with porting the computational fluid dynamics flow solver HiFUN, a proprietary software by S & I Engineering Solutions Pvt. Ltd., on a GPU-based accelerator platform using OpenACC directives. HiFUN is already parallelized on distributed memory HPC platforms using MPI directives and exhibits excellent scalability. In one of the recent studies, scaling over 15,000 processor cores on Cray XC40 has been demonstrated. The challenge at hand is to port HiFUN solver to accelerator-based HPC clusters without compromising its scalability. The presentation includes details on the use of OpenACC directives, wherein the compute-intensive tasks are transferred to the GPU. The success of this strategy to realize the objectives with minimal code change is also highlighted.
The present study deals with porting the computational fluid dynamics flow solver HiFUN, a proprietary software by S & I Engineering Solutions Pvt. Ltd., on a GPU-based accelerator platform using OpenACC directives. HiFUN is already parallelized on distributed memory HPC platforms using MPI directives and exhibits excellent scalability. In one of the recent studies, scaling over 15,000 processor cores on Cray XC40 has been demonstrated. The challenge at hand is to port HiFUN solver to accelerator-based HPC clusters without compromising its scalability. The presentation includes details on the use of OpenACC directives, wherein the compute-intensive tasks are transferred to the GPU. The success of this strategy to realize the objectives with minimal code change is also highlighted.  Back
 
Topics:
Computational Fluid Dynamics, HPC and Supercomputing
Type:
Poster
Event:
GTC Silicon Valley
Year:
2016
Session ID:
P6298
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