Results for: heterogeneous computing
Building computer vision, artificial intelligence, and heterogeneous computing into your robots
When you look at your robotics application, do you think of it as an “intelligent-edge use case?” Probably not, but that’s where it plays.
The intelligent edge of the network offers your devices...
https://developer.qualcomm.com/blog/building-computer-vision-artificial-intelligence-and-heterogeneous-computing-your-robotsTags:
Putting Camera and AI at the Network Edge
If you're designing a consumer device like a home security system or an industrial device like a dash camera, you don't want to reinvent the wheel any more than you have to. Expensive, vertical...
https://developer.qualcomm.com/blog/putting-camera-and-ai-network-edgeTags:
Heterogeneous Computing for your Demanding Apps
Today’s apps demand a lot from our mobile devices. From games to VR, and signal processing to AI, modern apps are truly multifaceted, placing all sorts of demands on our devices. For mobile...
https://developer.qualcomm.com/blog/heterogeneous-computing-your-demanding-appsTags:
Snapdragon Supports PyTorch 1.0 — AI Research and Production in the Same Framework
The two main phases of AI development — researching your models and deploying them to production — usually require separate frameworks. You might perform your research and make your improvements...
https://developer.qualcomm.com/blog/snapdragon-supports-pytorch-10-ai-research-and-production-same-frameworkTags:
OpenCL Optimization: Stop Leaving Compute Cycles on the Table
Co-written by Hongqiang Wang, Raga Ramachandra, and Alex Bourd
Have you started programming on the Qualcomm® Adreno™ GPU yet? For compute-intensive operations, you’ll find cycles in the GPU that you...
https://developer.qualcomm.com/blog/opencl-optimization-stop-leaving-compute-cycles-table