Comments (1)
Here is a rough formula for computing the memory usage:
You can get a rough estimate of data usage by knowing that the finest grid matrix
and related vectors use approximately for each MPI process:
27N - doubles, local ints, global ints (nonzero data for the sparse matrix)
N - size_t (pointer data for the sparse matrix)
7N - doubles (vectors used in the solution process)
Where N is the product of the local grid dimensions, specified as input to
the hpcg executable.
The size of local and global ints are compile-time parameters, but they
are commonly 4 bytes (int) and 8 bytes (long long), so we will assume that
size.
Then the sum is
27*( 8 + 4 + 8 )N +
8N +
78*N
Or 604N bytes per MPI process.
The coarse grids use a small fraction of the memory of the finest grid
(the reduction is a factor of 8 per level), so let's say the total memory
use by data objects is roughly 700N total bytes.
I hope this helps.
from hpcg.
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