A Cooperative, Accurate Solving Framework for Optimal Allocation, Scheduling and Frequency Selection on Energy-Efficient MPSoCs

• Most problems addressed by the software optimization flow for multi-processor systems-on-chip (MPSoCs) are NP-complete, and have been traditionally tackled by means of heuristics and highlevel approximations. Complete approaches have been effectively deployed only under unrealistic simplifying assumptions. We propose a novel methodology to formulate and solve to optimality the allocation, scheduling and discrete voltage selection problem for variable voltage/frequency MPSoCs, minimizing the system energy dissipation and the overhead for frequency switching. We integrate the optimization and validation steps to increase the accuracy of cost models and the confidence in quality of results. Two demonstrators are used to show the viability of the proposed methodology.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

embedded systems

voltage scaling

energy dissipation

systems-on-chip

MPSoC

scheduling

allocation

Computer science

Datavetenskap

Publikations- och innehållstyp

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