The ARM Compute Library
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Fast Transformer Inference on ARM-Based HMPSoCs
arXiv:2606.02836v1 Announce Type: new Abstract: Transformer models have set new performance standards for machine learning (ML) tasks. However, their resource-intensive deployment on resource-constrained edge devices for cloud-free, on-chip transformer inference remains challenging. The ARM Compute Library (ARM-CL) framework provides low-latency CNN inference on ARM-based edge devices but lacks support for transformer inference.
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