Multi-path neural network, resource allocation method and multi-path neural network analyzer

The invention provides a multi-path neural network, a resource allocation method and a multi-path neural network analyzer. According to the resource allocating method, computing resources may be optimally allocated for a multipath neural network using a multipath neural network analyzer that include...

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Hauptverfasser: POURGHASSEMI BEHNAM NAJAFABADI, KI YANG SEOK, LEE JOO HWAN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention provides a multi-path neural network, a resource allocation method and a multi-path neural network analyzer. According to the resource allocating method, computing resources may be optimally allocated for a multipath neural network using a multipath neural network analyzer that includes an interface and a processing device. The interface receives a multipath neural network. The processing device generates the multipath neural network to include one or more layers of a critical path through the multipath neural network that are allocated a first allocation of computing resources that are available to execute the multipath neural network. The critical path limits throughput of the multipath neural network. The first allocation of computing resources reduces an execution time ofthe multipath neural network to be less than a baseline execution time of a second allocation of computing resources for the multipath neural network. The first allocation of computing resources fora first layer of the criti