Today more than 90% of all programmable processors are employed in
embedded systems. This number is actually not surprising,
contemplating that in a typical home you might find one or two PCs
equipped with high-performance standard processors, and probably
dozens of embedded systems, including electronic entertainment,
household, and telecom devices, each of them equipped with one or
more embedded processors. The question arises why programmable
processors are so popular in embedded system design. The answer
lies in the fact that they help to narrow the gap between chip
capacity and designer productivity. Embedded processors cores are
nothing but one step further towards improved design reuse, just
along the lines of standard cells in logic synthesis and macrocells
in RTL synthesis in earlier times of IC design. Additionally,
programmable processors permit to migrate functionality from
hardware to software, resulting in an even improved reuse factor as
well as greatly increased flexibility.
The LISA processor design platform (LPDP) presented in
Architecture Exploration for Embedded Processors with LISA
addresses recent design challenges and results in highly
satisfactory solutions. The LPDP covers all major high-level phases
of embedded processor design and is capable of automatically
generating almost all required software development tools from
processor models in the LISA language. It supports a
profiling-based, stepwise refinement of processor models down to
cycle-accurate and even RTL synthesis models. Moreover, it
elegantly avoids model inconsistencies otherwise omnipresent in
traditional design flows.
The next step in design reuse is already in sight: SoC
platforms, i.e., partially pre-designed multi-processor templates
that can be quickly tuned towards given applications thereby
guaranteeing a high degree of hardware/software reuse in
system-level design. Consequently, the LPDP approach goes even
beyond processor architecture design. The LPDP solution explicitly
addresses SoC integration issues by offering comfortable APIs for
external simulation environments as well as clever solutions for
the problem of both efficient and user-friendly heterogeneous
multiprocessor debugging.
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