Modern consumers carry many electronic devices, like a mobile
phone, digital camera, GPS, PDA and an MP3 player. The
functionality of each of these devices has gone through an
important evolution over recent years, with a steep increase in
both the number of features as in the quality of the services that
they provide. However, providing the required compute power to
support (an uncompromised combination of) all this functionality is
highly non-trivial. Designing processors that meet the demanding
requirements of future mobile devices requires the optimization of
the embedded system in general and of the embedded processors in
particular, as they should strike the correct balance between
flexibility, energy efficiency and performance. In general, a
designer will try to minimize the energy consumption (as far as
needed) for a given performance, with a sufficient flexibility.
However, achieving this goal is already complex when looking at the
processor in isolation, but, in reality, the processor is a single
component in a more complex system. In order to design such complex
system successfully, critical decisions during the design of each
individual component should take into account effect on the other
parts, with a clear goal to move to a global Pareto optimum in the
complete multi-dimensional exploration space.
In the complex, global design of battery-operated embedded
systems, the focus of Ultra-Low Energy Domain-Specific
Instruction-Set Processors is on the energy-aware architecture
exploration of domain-specific instruction-set processors and the
co-optimization of the datapath architecture, foreground memory,
and instruction memory organisation with a link to the required
mapping techniques or compiler steps at the early stages of the
design. By performing an extensive energy breakdown experiment for
a complete embedded platform, both energy and performance
bottlenecks have been identified, together with the important
relations between the different components. Based on this
knowledge, architecture extensions are proposed for all the
bottlenecks.
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