|Article title||APPLICATION OF GENETIC ALGORITHM, IMPLEMENTED IN COMPILER FOR OPTIMIZATION OF APPLICATIONS ENERGY-EFFICIENCY|
|Section||SECTION III. MODELING AND DESIGN|
|Month, Year||02, 2015 @en|
|Abstract||Purpose of this paper is to find a compilation techniques that improve energy-efficiency of programs. This problem is formulated as a multiple criteria (performance, energy-consumption) optimization problem, with constraints on compile time increase and performance decrease, where acceptable performance degradation is specified by user. Program is separated into a number of regions (at most one region per subroutine), running at different CPU frequencies, and due to difference in frequency and voltage consuming lower amount of energy, but having lower performance. A NSGA2-based genetic algorithm of finding frequencies for each region which provide maximal amount of energy-saving while maintaining performance within user provided range is proposed. It was implemented as compiler pass in GCC (GNU COMPILER COLLECTION), which consumed profiling data at different frequencies and instrumented code to run at frequencies provided by algorithm. Result of application of this algorithm are measured and provided. Namely 13.5% energy-eﬃciency increase in archived on tests from SPEC2000 testsuite (in particular 183.equake). This result is archived when acceptable performance degradation is selected to be less than 7%. Archived result is higher than 9%, which is current state-of-the-art, obtained by integer linear programming based approach. On EEMBC benchmark suite no improvement or degradation is found. Main disadvantage of this algorithm is inability to cooperate with operating system and other processes in multicore environment.|
|Keywords||Compilers; energy-efficiency; genetic algorithms.|
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