Speaker
Ekaterina Brocke
Description
MUSIC is a standard API and software library allowing large-
scale neuronal network simulators, or other applications, to
exchange data within a parallel computer during runtime.
In this talk we will show how the efficiency of point-to-point
and collective communication algorithms depends on the
topology of the connectivity between the applications. We
will present benchmark results comparing the scaling of the
two communication algorithms on high number of tasks,
and will discuss challenges regarding scheduling of
communication in MUSIC.
