Heterogeneous computing on a system-on-chip, including machine learning inference
Abstract:
A system-on-chip (SoC) integrated circuit product includes a machine learning accelerator (MLA). It also includes other processor cores, such as general purpose processors and application-specific processors. It also includes a network-on-chip for communication between the different modules. The SoC implements a heterogeneous compute environment because the processor cores are customized for different purposes and typically will use different instruction sets. Applications may use some or all of the functionalities offered by the processor cores, and the processor cores may be programmed into different pipelines to perform different tasks.
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