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Energy-efficiency plays a significant role given the battery lifetimeconstraints in embedded systems and hand-held devices. In this work we targetthe ARM big.LITTLE, a heterogeneous platform that is dominant in the mobile andembedded market, which allows code to run transparently on differentmicroarchitectures with individual energy and performance characteristics. Itallows to se more energy efficient cores to conserve power during simple tasksand idle times and switch over to faster, more power hungry cores whenperformance is needed. This proposal explores the power-savings and theperformance gains that can be achieved by utilizing the ARM big.LITTLE core incombination with Decoupled Access-Execute (DAE). DAE is a compiler techniquethat splits code regions into two distinct phases: a memory-bound Access phaseand a compute-bound Execute phase. By scheduling the memory-bound phase on theLITTLE core, and the compute-bound phase on the big core, we conserve energywhile caching data from main memory and perform computations at maximumperformance. Our preliminary findings show that applying DAE on ARM big.LITTLEhas potential. By prefetching data in Access we can achieve an IPC improvementof up to 37% in the Execute phase, and manage to shift more than half of theprogram runtime to the LITTLE core. We also provide insight into advantages anddisadvantages of our approach, present preliminary results and discusspotential solutions to overcome locking overhead.

Decoupled Access-Execute on ARM big.LITTLE