Design of energy-efficient application-specific set by Tilman Glökler

By Tilman Glökler

After a short advent to low-power VLSI layout, the layout house of ASIP guideline set architectures (ISAs) is brought with a different specialize in vital beneficial properties for electronic sign processing. in keeping with the levels of freedom provided through this layout area, a constant ASIP layout circulation is proposed: this layout circulate starts off with a given program and makes use of incremental optimization of the ASIP undefined, of ASIP coprocessors and of the ASIP software program through the use of a top-down procedure and by way of using application-specific variations on all degrees of layout hierarchy. A wide variety of real-world sign processing functions serves as motor vehicle to demonstrate every one layout determination and gives a hands-on method of ASIP layout. eventually, whole case stories display the feasibility and the potency of the proposed technique and quantitatively review the advantages of ASIPs in an commercial context.

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In this thesis, the term ASIP exclusively refers to an instruction set oriented processor with application-specific optimizations including optional tightly-coupled hardware accelerators. 1 depicts typical classes of hardware implementation paradigms, which are bounded by pure ASICs on the left side and by general purpose processors on the right side. ASIPs can be viewed as a tradeoff between non-programmable application-specific integrated circuits (ASICs) and domain specific signal processors (DSSPs).

Moreover, parameters like area efficiency for low data-rate tasks and flexibility requirements for errorprone and quickly changing control tasks have to be taken into account [91]. It is possible for some algorithms to use adaptive implementations, where the number of operations that are needed for this task can be scaled to reduce energy. g. ). However, if the application permits a certain algorithmic degradation under some circumstances, it might be advantageous to detect this condition and scale the algorithm accordingly.

The total energy to perform a given computational task is unaffected by a reduction of f clk , if no additional changes are applied. A reduction of the effective switched capacitance Cdyn potentially results in a higher computational performance because of reduced interconnection and transition delays. Typically, this reduction has to be achieved using different hardware architectures or technologies. However, the minimization of Cdyn is limited by architectural bounds (due to the minimum required interconnection structure) and technological bounds (due to high interconnection capacitances and unavoidable short-circuit currents).

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