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High performance and energy efficient inference for deep learning on ARM processors., , , , and . CoRR, (2021)Modeling power and energy consumption of dense matrix factorizations on multicore processors., , , and . Concurr. Comput. Pract. Exp., 26 (17): 2743-2757 (2014)Parallelizing and Optimizing LHCb-Kalman for Intel Xeon Phi KNL Processors., , , , , and . PDP, page 741-750. IEEE Computer Society, (2018)CID: A Compile-Time Implementation Decider for Heterogeneous Platforms Based on C++ Attributes., , , and . UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, page 1149-1156. IEEE Computer Society, (2016)Optimizing Convolutions for Deep Learning Inference on ARM Cortex-M Processors., , , and . IEEE Internet Things J., 11 (15): 26203-26219 (August 2024)Saving Energy in the LU Factorization with Partial Pivoting on Multi-core Processors., , , , and . PDP, page 353-358. IEEE, (2012)A generic parallel pattern interface for stream and data processing., , , and . Concurr. Comput. Pract. Exp., (2017)Automatic detection of power bottlenecks in parallel scientific applications., , , , and . Comput. Sci. Res. Dev., 29 (3-4): 221-229 (2014)Energy-aware matrix computacion on multirhreaded architectures.. Jaume I University, Spain, (2014)Supporting Advanced Patterns in GrPPI, a Generic Parallel Pattern Interface., , , and . Euro-Par Workshops, volume 10659 of Lecture Notes in Computer Science, page 55-67. Springer, (2017)