  The increasing parallelism of many-core systems demands for efficient
strategies for the run-time system management. Due to the large number of cores
the management overhead has a rising impact to the overall system performance.
This work analyzes a clustered infrastructure of dedicated hardware nodes to
manage a homogeneous many-core system. The hardware nodes implement a message
passing protocol and perform the task mapping and synchronization at run-time.
To make meaningful mapping decisions, the global management nodes employ a
workload status communication mechanism.
  This paper discusses the design-space of the dedicated infrastructure by
means of task mapping use-cases and a parallel benchmark including
application-interference. We evaluate the architecture in terms of application
speedup and analyze the mechanism for the status communication. A comparison
versus centralized and fully-distributed configurations demonstrates the
reduction of the computation and communication management overhead for our
approach.
