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

Autor:	Catalán, Sandra, Igual, Francisco D., Mayo, Rafael, Piñuel, Luis, Quintana-Ortí, Enrique S., Rodríguez-Sánchez, Rafael
Rok vydání:	2015
Předmět:	Computer Science - Distributed Parallel and Cluster Computing
Druh dokumentu:	Working Paper
Popis:	Asymmetric processors have emerged as an appealing technology for severely energy-constrained environments, especially in the mobile market where heterogeneity in applications is mainstream. In addition, given the growing interest on ultra low-power architectures for high performance computing, this type of platforms are also being investigated in the road towards the implementation of energy- efficient high-performance scientific applications. In this paper, we propose a first step towards a complete implementation of the BLAS interface adapted to asymmetric ARM big.LITTLE processors, analyzing the trade-offs between performance and energy efficiency when compared to existing homogeneous (symmetric) multi-threaded BLAS implementations. Our experimental results reveal important gains in performance while maintaining the energy efficiency of homogeneous solutions by efficiently exploiting all the resources of the asymmetric processor. Comment: Presented at HiPEAC 2015, Amsterdam. Foundation of the Asymmetric BLIS implementation
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1507.05129 Zobrazit plný text záznamu View this record from Arxiv