OpenCL-Based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8457441/8457615/08457652.pdf?arnumber=8457652
Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Enabling Performance Portability for Shallow Water Equations on CPUs, GPUs, and FPGAs with SYCL;Proceedings of the Platform for Advanced Scientific Computing Conference;2024-06-03
2. FAWS: FPGA Acceleration of Large-Scale Wave Simulations;2023 IEEE 34th International Conference on Application-specific Systems, Architectures and Processors (ASAP);2023-07
3. Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes;Proceedings of the Platform for Advanced Scientific Computing Conference;2023-06-26
4. Transforming Fortran weather and climate applications to OpenCL using PSyclone;International Workshop on OpenCL;2023-04-18
5. Double-precision hardware accelerator for incompressible Navier–Stokes equations solver based on discontinuous Galerkin method;Advances in Engineering Software;2023-02
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