One important considering for multi-gpu simulations is the NVLINK/NVSWITCH connection topology of the GPUs. In general, M-Star requires full peer-to-peer access between all GPUs …

Overall, our study demonstrates the potential of using GPUs, specifically with the CuPy library in Python, for speeding up CFD simulations. This approach should be considered as a viable …

DG on GPUs: Why? The majority of DG is local. DG is arithmetically intense. GPUs favor dense data. Local parts of the DG operator are dense. Exciting time to be computational scientist! …

(If you understand the following examples you really understand how CUDA programs run on a GPU, and also have a good handle on the work scheduling issues we’ve discussed in the …

Supermicro and NVIDIA have partnered to develop a reference architecture for HPC applications with optimum hardware configurations. In this Solution Brief, we will review the key …

HPC systems with GPUs provide significant increases in levels of parallel processing for CFD software that is developed using GPU programming models such as CUDA, OpenACC, or …

This work provides an efficient solution to apply GPU computing in CFD simulation with specific high order finite difference methods on current GPU heterogeneous computers.

In this paper, we propose some scheme and approaches to increase the performance in terms of execution time and latency. To increase the performance of CFDs, we adjust GPU-based …

For industry-leading commercial CFD software ANSYS Fluent, it was demonstrated that substantial performance gains can be achieved by using the latest NVIDIA GPU technology …

In this paper, we propose an architecture design for Computational Fluid Dynamics (CFD) simulations based on the HLS method. Our design can adjust the performance by utilizing the …