P04: Unstructured-Grid CFD Algorithms on Many-Core
Architectures
SessionPoster Reception
Authors
Event Type
ACM Student Research Competition
Poster
Reception
TimeTuesday, November 14th5:15pm -
7pm
LocationFour Seasons Ballroom
DescriptionIn the field of computational fluid dynamics (CFD), the
Navier-Stokes equations are often solved using an
unstructured-grid approach to accommodate geometric
complexity. Furthermore, turbulent flows encountered in
aerospace applications generally require highly
anisotropic meshes, driving the need for implicit
solution methodologies to efficiently solve the discrete
equations. These approaches require frequent
construction and solution of large, tightly-coupled
systems of block-sparse linear equations.
We explore the transition of two representative CFD kernels from a coarse-grained MPI-based model originally developed for multi-core systems to a shared-memory model suitable for many-core platforms. Results for the Intel Xeon Phi Knights Landing, NVIDIA Pascal P100, and NVIDIA Volta V100 architectures are compared with the aforementioned MPI-based implementation for the multi-core Intel Xeon Broadwell (BWL) processor. We observe substantial speedups over BWL as well as higher performance per dollar MSRP and performance per watt for the many-core architectures.
We explore the transition of two representative CFD kernels from a coarse-grained MPI-based model originally developed for multi-core systems to a shared-memory model suitable for many-core platforms. Results for the Intel Xeon Phi Knights Landing, NVIDIA Pascal P100, and NVIDIA Volta V100 architectures are compared with the aforementioned MPI-based implementation for the multi-core Intel Xeon Broadwell (BWL) processor. We observe substantial speedups over BWL as well as higher performance per dollar MSRP and performance per watt for the many-core architectures.
Authors
