Modeling, Verification and Exploration of Task-Level by Filip Thoen

Modeling, Verification and Exploration of Task-Level by Filip Thoen

By Filip Thoen

system is a posh item containing an important percent of elec­ A tronics that interacts with the true global (physical environments, people, and so forth. ) via sensing and actuating units. A process is heterogeneous, i. e. , is characterised by way of the co-existence of a giant variety of elements of disparate kind and serve as (for instance, programmable parts comparable to micro­ processors and electronic sign Processors (DSPs), analog elements reminiscent of reduction and D/A converters, sensors, transmitters and receivers). Any method of process layout at the present time needs to comprise software program issues to be possible. in truth, it's now universal wisdom that greater than 70% of the advance rate for advanced platforms reminiscent of automobile electronics and verbal exchange structures are because of software program improvement. moreover, this percent is expanding consistently. it's been my take for years that the so-called hardware-software co-design challenge is formulated at a too low point to yield major leads to shorten­ ing layout time to the purpose wanted for subsequent new release digital units and structures. the extent of abstraction needs to be raised to the Architecture-Function co-design challenge, the place functionality refers back to the operations that the process is meant to hold out and structure is the set of aiding elements for that performance. The helping elements as we stated above are heteroge­ neous and comprise often programmable components.

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Typically, it involves: data parallelism extraction, data parallelism improvement, (array- )processor cycle budget distribution, data-to-memory partitioning, virtual-to-physical processor grid mapping, and (array )-processor interface refinement. Traditionally in existing H/W-SIW co-design approaches, these optimization steps are performed after partitioning - if performed at all - and this separately for the individual hardware and software parts. As argumented in [Danckaert 97], it is better to perform this before partitioning, as it leads to better global optimal, and at a higher abstraction level making it easier to provide formal support.

Typically, it involves: data parallelism extraction, data parallelism improvement, (array- )processor cycle budget distribution, data-to-memory partitioning, virtual-to-physical processor grid mapping, and (array )-processor interface refinement. Traditionally in existing H/W-SIW co-design approaches, these optimization steps are performed after partitioning - if performed at all - and this separately for the individual hardware and software parts. As argumented in [Danckaert 97], it is better to perform this before partitioning, as it leads to better global optimal, and at a higher abstraction level making it easier to provide formal support.

It precedes both instruction-set and custom processor mapping, since indexed signals can be handled in both of them. g. a C compiler typically translates an access of an n-dimensional signal by looking up a pointer in a table through n-way indirection). A much better way is usually to translate the n-dimensional index into a single address expression which is then aggressively optimized as an arithmetic expression before efficiently mapping it on the available arithmetic operators. An illustration of the search space and the important effects of this stage are provided in [Miranda 98].

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