Hello,
I am working on a project with some significant computation of following
form (let's assume two cpus for simplicity):
let x be a list of mathematical objects and let + be a commutative binary
operation on x's elements
def f(x):
result = x[0]
for i in range(1,len(x))
result = result + x[i]
return(result)
We want to break x up so that this function acts on a subset of elements in
x, and these subsets are tackled on different CPU's on a cluster. Then we
need to take y= [result_{cpu1},result{cpu2}] and f(y). I've browsed some
documentation on this, and I'm having trouble making sense of the parallel
decorator, getting it to acknowledge more than one CPU (there seems to be
some ambiguity between setting using @parallel('ncpus' = #) or using
SAGE_NUM_THREADS ?), and I can't tell whether we need to use MPI4PY here or
whether SAGE already has everything we need. Any help would be very much
appreciated.
Best,
Alex
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