Call for Papers, Special Issue in Computation
HPC-Driven CFD: From Algorithms to GPU Supercomputers
Modern CFD is undergoing a profound transformation. GPU-accelerated and heterogeneous supercomputers are reshaping how numerical methods, solvers, and software are designed, enabling simulations that were previously beyond reach.
As Guest Editor, I am pleased to invite high-quality contributions for this Special Issue in Computation (Impact Factor 2.6, CiteScore 5.2).
A special note for the Fortran HPC community:
Fortran remains a dominant computational backbone in production-grade CFD and Exascale supercomputing. Whether your codes leverage Modern Fortran standard parallelism (do concurrent), OpenMP/OpenACC offloading, CUDA Fortran, or performance-portability frameworks, this Special Issue provides an ideal venue to showcase your advancements on modern GPU architectures.
Topics of interest include (across all HPC frameworks and languages):
• High-order numerical methods and scalable solvers
• GPU computing and heterogeneous HPC architectures
• Performance-portable programming (Kokkos, RAJA, SYCL, OpenACC, OpenMP, Standard Parallelism)
• Adaptive meshes and large-scale parallel algorithms
• Multiphysics and high-fidelity CFD
• Machine learning for accelerated CFD
• Reproducible and sustainable scientific software
We welcome original research articles as well as comprehensive review papers.
Submission deadline: 30 November 2027
APC waivers are available for invited contributions.
Feel free to contact me directly or Section Managing Editor Selena Shi (Selena.shi@mdpi.com) if you have questions or wish to discuss a submission.
#CFD #HPC #Fortran #Supercomputing #GPU #ComputationalScience #NumericalMethods #OpenMP #OpenACC #CUDA #SYCL #ScientificComputing