734.hpgmgfv_m (HPGMG-FV)
Submitted by Christopher Steven Daley csdaley __at__ lbl.gov
Authors:
Cosmology, Astrophysics, Combustion
High Performance Geometric Multigrid (HPGMG-FV) is a benchmark designed to proxy the finite-volume based geometric multigrid linear solvers found in adaptive mesh refinement (AMR) based applications like Nyx, Castro, Maestro, IAMR and PeleLM. HPGMG-FV solves variable-coefficient elliptic problems on Cartesian grids using the finite volume method (FV). The method is fourth-order accurate. More information about the benchmark is at https://crd.lbl.gov/departments/computer-science/PAR/research/hpgmg. The benchmark complements the HPL and HPCG benchmarks as a way to rank the TOP-500 computing systems. The most recent HPGMG list as of Nov 2018 is at https://crd.lbl.gov/departments/computer-science/PAR/research/hpgmg/results/results-201811/. The list shows results obtained on many leading HPC platforms: K computer (Fujitsu SPARC64 VIIIfx), Sunway TahihuLight, Cori (Cray X40), Mira (BG/Q), Titan (Cray XK7), etc.. It also shows that the benchmark has been run with up to 131K MPI ranks. The version of HPGMG submitted to SPEC is based on the CUDA-port at https://bitbucket.org/nsakharnykh/hpgmg-cuda. The submitted version provides MPI and optional OpenMP, OpenMP target offload, OpenACC and CUDA parallelism.
The control file contains two integers:
The benchmark performs multiple linear solves and performs an error check each time.
C
The optional CUDA configuration depends on the CUDA CUB library (https://nvlabs.github.io/cub/)
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