TTPy is not Thread-Safe
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daskol commented
Bridging layer tt/core/tt_f90.f90
between ttpy
and tt-fort
uses global variables core
and zcore
which are used to convert cores from single array format to array-per-core representation and vice versa which is also named as sdv
. Common pattern look like the following.
ranks, ptrs = tt_f90.dtt_add(self.n, self.r, other.r, self.ps, other.ps, self.core, other.core)
core = tt_f90.core.copy()
tt_f90.tt_dealloc()
The code above is not thread-safe since read-write accesses to core
or zcore
allocated arrays are not serialized.