Efficient implementation of neural networks in mobile devices

Webinar by:
Chris Longstaff

Webinar finished streaming:
09 Nov 2017 at 19:30 hrs (GMT), duration: 30 mins

Neural networks (NN) are emerging as a key disruptive technology with a wide range of applications in different markets and segments. In mobile devices, they enable enhanced user experiences through computational photography, photo management, speech recognition and synthesis, to name a few applications. Implementing NNs in a mobile SoC is particularly challenging due to the increased power consumption, memory bandwidth and silicon area required. This webinar provides a market overview of NNs in the mobile space, including applications and trends. It then focuses on the key SoC implementation challenges, technical requirements for a deployable and efficient mobile solution and how these requirements can be addressed with innovative new hardware acceleration technologies.


Key benefits

  • Gain an understanding of the mobile NN market trends and applications, including a look at the key players in the emerging ecosystem
  • Learn the key technical requirements and challenges for implementing a mobile SoC for efficient NN inferencing in Android
  • Understand the tradeoffs between CPU, GPU and neural network accelerator based implementations
  • Discover how new hardware acceleration technologies like the PowerVR 2NX Neural Network Accelerator can deliver the needed solution to meet performance, power, area and bandwidth requirements

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