ã€Global Network Technology Report】 July 25, United States local time. San Diego — Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated (NASDAQ: QCOM) announced that Qualcomm® will continue to provide Qualcomm® Neural Processing Engine (NPE) on the Qualcomm Developer Network. Software Development Kit (SDK). Xiaolong NPE is the first deep learning software framework designed for Xiaolong mobile platform.
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Snapdragon NPE aims to provide developers with software tools for mobile devices equipped with Opteron processors and other types of network edge terminals to accelerate the operation of deep neural network workloads. Developers can choose the best Opteron kernel for the desired user experience—including the Qualcomm® KryoTM CPU, Qualcomm® AdrenoTM GPU, or Qualcomm® HexagonTM DSP.
Snapdragon NPE will provide developers in multiple industries (including mobile, automotive, healthcare, security, and imaging) the tools they need to implement a neural network-driven user experience on the terminal side. Developers can take advantage of deep learning user experiences such as style transitions and filters (augmented reality applications), scene detection, facial recognition, natural language understanding, object tracking and avoidance, gestures, and text recognition.
Developers have already started using Nine Dragons NPE to take advantage of Snapdragon's capabilities to support the mobile app experience. For example, Facebook has announced plans to integrate Snapdragon NPE into the Facebook application's camera capabilities to facilitate the implementation of augmented reality (AR) features supported by Caffe2. Compared to the general CPU implementation, Facebook can use Snapdragon NPE to achieve a 5X performance improvement based on Adreno GPUs, enabling smoother, seamless, and realistic AR feature applications when shooting photos and live video.
Gary Brotman, director of product management at Qualcomm Technologies, Inc., said: "We developed the NPE SDK to meet the growing demand for mobile networks and other network edge terminals that are equipped with Opteron's highly efficient deep-neutral neural networks. In order to give developers the tools to easily migrate smart features from the cloud to the network edge terminals, developers can flexibly utilize the Opteron cores with the best power and performance for the specific user experience.
Snapdragon NPE is compatible with Snapdragon 600 and 800 series mobile platforms, supports common deep learning frameworks such as Caffe, Caffe2, and Tensorflow, and provides support for custom layers. The SDK includes runtime software, libraries, APIs, offline model conversion tools, sample code, documentation, and debugging and benchmarking tools.
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