By Francky Catthoor, Praveen Raghavan, Andy Lambrechts, Murali Jayapala, Angeliki Kritikakou, Javed Absar
ISBN-10: 9048195276
ISBN-13: 9789048195275
Modern shoppers hold many digital units, like a cellular phone, camera, GPS, PDA and an MP3 participant. The performance of every of those units has undergone a tremendous evolution over fresh years, with a steep raise in either the variety of positive aspects as within the caliber of the providers that they supply. besides the fact that, supplying the mandatory compute energy to help (an uncompromised mix of) all this performance is very non-trivial. Designing processors that meet the not easy necessities of destiny cellular units calls for the optimization of the embedded procedure ordinarily and of the embedded processors particularly, as they need to strike the proper stability among flexibility, strength potency and function. normally, a clothier will attempt to reduce the power intake (as some distance as wanted) for a given functionality, with a enough flexibility. even though, reaching this aim is already advanced whilst the processor in isolation, yet, in truth, the processor is a unmarried part in a extra advanced approach. so that it will layout such complicated procedure effectively, severe judgements in the course of the layout of every person part should still take into consideration influence at the different components, with a transparent aim to maneuver to a world Pareto optimal within the entire multi-dimensional exploration space.
In the complicated, international layout of battery-operated embedded structures, the point of interest of Ultra-Low power Domain-Specific Instruction-Set Processors is at the energy-aware structure exploration of domain-specific instruction-set processors and the co-optimization of the datapath structure, foreground reminiscence, and guideline reminiscence organization with a hyperlink to the mandatory mapping options or compiler steps on the early phases of the layout. by way of acting an in depth power breakdown test for an entire embedded platform, either strength and function bottlenecks were pointed out, including the $64000 family members among different parts. in keeping with this information, structure extensions are proposed for the entire bottlenecks.
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Extra info for Ultra-Low Energy Domain-Specific Instruction-Set Processors
Example text
The unique benefits of this method are the cooptimization with the processor instruction set and a trade-off of 12 Structure of this book accuracy at the application level, which can lead to a reduction in the energy consumption, a performance improvement or both. The presented technique can be used as an enabling step for Software SIMD [Lam08b, Lam09]. 12. All the key domain-specific instruction-set processor/platform extensions are illustrated on a realistic demonstrator, namely an online bioimaging monitoring application.
Note that CGRAs could be seen as quite similar to the family of instruction-set programmable architectures when the semantics (not the syntax) of the constituting components is analyzed. Also for the ASIP research community, a similar observation can be made: individual contributions are available on the components, but no global holistic energy optimisation is enabled in this way. Still, the interest in ASIP style processor platforms has become very high in the last 2 decades, especially in the last few years.
1 Platform view: a processor is part of a system Future SoC platforms will have to satisfy many critical requirements: they will have to be energy efficient, to be able to handle diverse applications and to provide sufficient processing capacity, all at the same time. The combination of all these requirements poses serious challenges on the current platform styles and related mapping methodologies. To meet these requirements, most SoCs contain several types of processor cores and data memory units, resulting in very heterogeneous platforms.
Ultra-Low Energy Domain-Specific Instruction-Set Processors by Francky Catthoor, Praveen Raghavan, Andy Lambrechts, Murali Jayapala, Angeliki Kritikakou, Javed Absar
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