Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices
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Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices
Summary
Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices is a master's thesis[1].
Key Facts
- Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices authored Hemant Nigam[2].
- Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices's instance of is recorded as master's thesis[3].
- Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices's OCLC number is recorded as 1043358715[4].
- Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices's language of work or name is recorded as English[5].
- +2018-00-00T00:00:00Z marks the founding of Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices[6].
- Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices's work available at URL is recorded as http://hdl.handle.net/1773/41727[7].
- Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+72'}[8].
- Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+15'}[9].
- Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices's Handle ID is recorded as 1773/41727[10].
- Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices's title is recorded as Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices[11].
- Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices's thesis submitted to is recorded as University of Washington[12].
- Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[13].
- Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices's thesis committee member is recorded as Michael Stiber[14].
Body
Designation and Status
Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices's instance of is recorded as master's thesis[3].
History and Context
+2018-00-00T00:00:00Z marks the founding of Kernel Mechanisms for Efficient Gpu Accelerated Deep Neural Network Inference on Embedded Devices[6].