  Modern embedded and cyber-physical systems require every day more
performance, power efficiency and flexibility, to execute several profiles and
functionalities targeting the ever growing adaptivity needs and preserving
execution efficiency. Such requirements pushed designers towards the adoption
of heterogeneous and reconfigurable substrates, which development and
management is not that straightforward. Despite acceleration and flexibility
are desirable in many domains, the barrier of hardware deployment and operation
is still there since specific advanced expertise and skills are needed. Related
challenges are effectively tackled by leveraging on automation strategies that
in some cases, as in the proposed work, exploit model-based approaches. This
paper is focused on the Multi-Dataflow Composer (MDC) tool, that intends to
solve issues related to design, optimization and operation of coarse-grain
reconfigurable hardware accelerators and their easy adoption in modern
heterogeneous substrates. MDC latest features and improvements are introduced
in detail and have been assessed on the so far unexplored robotics application
field. A multi-profile trajectory generator for a robotic arm is implemented
over a Xilinx FPGA board to show in which cases coarse-grain reconfiguration
can be applied and which can be the parameters and trade-offs MDC will allow
users to play with.
