  Stream processing acceleration is driven by the continuously increasing
volume and velocity of data generated on the Web and the limitations of
storage, computation, and power consumption. Hardware solutions provide better
performance and power consumption, but they are hindered by the high research
and development costs and the long time to market. In this work, we propose our
re-configurable stream processor (Diba), a complete rethinking of a previously
proposed customized and flexible query processor that targets real-time stream
processing. Diba uses a unidirectional dataflow not dedicated to any specific
type of query (operator) on streams, allowing a straightforward placement of
processing components on a general data path that facilitates query mapping. In
Diba, the concepts of the distribution network and processing components are
implemented as two separate entities connected using generic interfaces. This
approach allows the adoption of a versatile architecture for a family of
queries rather than forcing a rigid chain of processing components to implement
such queries. Our experimental evaluations of representative queries from TPC-H
yielded processing times of 300, 1220, and 3520 milliseconds for data streams
with scale factor sizes of one, four, and ten gigabytes, respectively.
