Efficient Implementation of Stream Applications on processor Arrays
This thesis concludes work conducted on exploring the usage of parallel and reconfigurable
processor architectures in industrial high-performance embedded systems. This kind of
systems has by tradition been built using a mix of digital signal processors and custom
made hardware. Digital signal processors provide full functional flexibility, but at the cost
of lower performance. Custom made hardware can be optimized for specific functions for
high performance, but at the cost of inflexibility and high development costs. A desire is to
combine flexibility and performance using commercial hardware, without trading too much
of performance for flexibility.
Parallel and reconfigurable architectures provide a flexible computing space constituting
processing elements that are coupled through configurable communication structures.
Architectures designed with less complex processing elements renders a high degree of
utilizable parallelism at the cost of having to use a portion of the processing elements for
control functions. In the thesis it is shown that it is possible to utilize this kind of architecture
to achieve high performance efficiency, despite the fact that a large fraction of PEs are
required to implement control-oriented portions in a fairly complex algorithm.
A major problem is that architectures of this kind expose a very complex programming
abstraction for compilers and programmers. The approach taken in this work is a
domain-specific stream processing model which provides means to express applicationspecific
dataflows and computations in terms of streams. An extensive application study
comprising the baseband processing in radio base stations has been used to define sufficient
data types, operators and language constructs. Furthermore, to support industrial requirements
on portability to different architectures, it must be possible to express parallelism
and characteristic computations without exposing of hardware details in the source code.
To be able to prototype and set up experiments with stream processing languages an
experimental programming framework has been developed. A first prototype language with
specific primitive types, operators and stream constructs has been implemented in order to
elaborate with baseband programing. It is demonstrated how these types and operators
can be used to express machine-independent bit field and other fine-grained data parallel
computations. Furthermore, the language has been designed with constructs for efficient
and flexible programming of reconfiguration of distributed function parameters.
Keywords: Parallel processing, reconfigurable architectures, stream processing, baseband.