Hardware/Software Architectures for Low-Power Embedded by Muhammad Shafique

By Muhammad Shafique

The severe complexity/energy specifications and context-aware processing nature of multimedia purposes stimulate the necessity for adaptive low-power embedded multimedia structures with high-performance. Run-time adaptivity is needed to react to the run-time various situations (e.g., caliber and function constraints, on hand power, enter data).

This ebook offers suggestions for strength relief in adaptive embedded multimedia structures, in accordance with dynamically reconfigurable processors. The method defined will allow designers to satisfy performance/area constraints, whereas minimizing video caliber degradation, lower than numerous, run-time situations. Emphasis is put on imposing power/energy aid at a variety of abstraction degrees. To let this, novel options for adaptive power administration at either processor structure and alertness structure degrees are offered, such that either and software program adapt jointly, minimizing total strength intake less than unpredictable, design-/compile-time situations.

  • Introduces basic recommendations and necessities of embedded multimedia structures in response to complex video formats, dynamically reconfigurable processors, and low-power options in reconfigurable computing;
  • Describes novel thoughts and ideas for delivering adaptivity and effort aid together at processor and alertness structure degrees;
  • Provides ideas for allowing run-time configurability for caliber vs. power intake tradeoff on the software level

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Extra resources for Hardware/Software Architectures for Low-Power Embedded Multimedia Systems

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It is especially beneficial for highly flexible Custom Instruction set architectures like in [Bau09; VWG+04]. Moreover, based on the concept of Selective Instruction Set Muting, a run-time adaptive energy management scheme investigates the tradeoff between leakage, dynamic, and reconfiguration energy for a given performance constraint, thus dynamically moving in the energy-performance design space. The adaptive low-power application architecture employs the novel concept of Energy-Quality Classes and video properties dependent adaptive complexity reduction in order to realize the adaptive low-power video encoding.

It is determined at run time which subset of Custom Instructions should be put into which muting mode at which time by evaluating at run time the possible associated energy benefit (a joint function of leakage, dynamic, and reconfiguration energy). For power estimation of dynamically reconfigurable processors, a comprehensive power model is developed, which is based on power measurements. Moreover, this monograph presents formal problem description and detailed evaluation of the proposed algorithms at processor and application levels.

It provides a dynamic tradeoff between leakage, dynamic, and reconfiguration energy. , run-time selection of an energy-minimizing instruction and Custom Instruction muting decisions) are discussed in the subsequent sections along with their formal model, algorithms, and evaluation for different fabrication technologies. €6. €7 provides the detailed comparison of the application and processor level energy management with state-of-the-art. Chapter€8 concludes this monograph and provides an outlook of the potential future works.

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