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The new v-CNNDesigner tool automatically translates trained neural networks into optimized implementations that run efficiently on the v-MP6000UDX architecture.


  • Easy development: Runs neural network implementations in minutes, without any programming
  • Parallelizes and optimizes: Automatically parallelizes, optimizes and maps trained neural networks onto the v-MP6000UDX architecture
  • Shrinks data types and reduces transfers: Optimizes the network s data types and minimizes memory transfers for highest performance and lowest power operation
  • Supports a wide variety of networks: All your favorite networks are supported, including AlexNet, GoogLeNet, ResNet, VGG-X, YOLO, MobileNet, etc.
  • Supports TensorFlow, Caffe/Caffe2, PyTorch, and others: Design and train your networks with your favorite framework, then import them into v-CNNDesigner for optimizing and mapping them onto the v-MP6000UDX architecture.

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