Publication | Closed Access
SC-DCNN
153
Citations
40
References
2017
Year
Unknown Venue
Specialized Dcnn AcceleratorsConvolutional Neural NetworkDeep Neural NetworksEngineeringHardware AccelerationEdge ComputingHardware AlgorithmComputer EngineeringComputer ArchitectureSoftware-based DcnnsDomain-specific AcceleratorEmbedded Machine LearningComputer ScienceParallel ComputingDeep LearningWearable Devices
With the recent advance of wearable devices and Internet of Things (IoTs), it becomes attractive to implement the Deep Convolutional Neural Networks (DCNNs) in embedded and portable systems. Currently, executing the software-based DCNNs requires high-performance servers, restricting the widespread deployment on embedded and mobile IoT devices. To overcome this obstacle, considerable research efforts have been made to develop highly-parallel and specialized DCNN accelerators using GPGPUs, FPGAs or ASICs.
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