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Asymmetric processors have emerged as an appealing technology for severelyenergy-constrained environments, especially in the mobile market whereheterogeneity in applications is mainstream. In addition, given the growinginterest on ultra low-power architectures for high performance computing, thistype of platforms are also being investigated in the road towards theimplementation of energy- efficient high-performance scientific applications.In this paper, we propose a first step towards a complete implementation of theBLAS interface adapted to asymmetric ARM big.LITTLE processors, analyzing thetrade-offs between performance and energy efficiency when compared to existinghomogeneous (symmetric) multi-threaded BLAS implementations. Our experimentalresults reveal important gains in performance while maintaining the energyefficiency of homogeneous solutions by efficiently exploiting all the resourcesof the asymmetric processor.

Performance and Energy Optimization of Matrix Multiplication on Asymmetric big.LITTLE Processors