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Arm Compute Library heralds computer vision and machine learning
Apr. 06, 2017 –
The Arm Compute Library makes low-level software functions optimised for Arm Cortex central processor unit (CPU) and Arm Mali graphics processor unit (GPU) architectures, targeted image processing, computer vision and machine learning. It is available free of charge under a permissive MIT open-source license.
Emerging technologies like machine learning (ML), virtual reality (VR), augmented reality (AR), and computer vision (CV) provide opportunities for innovation across the whole Arm ecosystem.
Software developers throughout the semiconductor supply chain can focus efforts on innovation, and not on re-implementing common technologies and optimisations. It also allows partners to spend time on features and differentiation, not on enabling at the product development stages.
The Arm Compute Library initially contains a large number of functions implemented for the Cortex-A family of CPUs and for the Midgard and Bifrost families of Mali GPUs. It is a convenient repository of low-level, optimised software functions that developers can source individually or use as part of complex pipelines in order to accelerate their algorithms and applications.