Qualcomm® Linux® software architecture and SDKs
Dive into the complexities of Qualcomm® Linux® sample applications: Learn how to run four AI Inferences concurrently software architecture and SDKs. In this video, we explore how Qualcomm Technologies blends open-source and proprietary elements to boost functionality and ensure compatibility across various subsystems, including CPUs, GPUs, and AI accelerators.
What this video covers:
The process behind building Qualcomm Linux, highlighting the integration of patches from both upstream and downstream drivers.
Detailed explanations of the execution environments for application processors and DSPs within Qualcomm Linux software, including how the real-time OS framework manages kernel scheduling to avoid hardware conflicts.
Insights into how GPU processes are enhanced through OpenGL and OpenCL operations.
An overview of the modular and independently upgradable nature of Qualcomm product SDKs, as the Qualcomm® Intelligent Multimedia SDK and Qualcomm® Intelligent Robotics Product SDK, which merge multiple functionalities for robust development.
Features of the GStreamer-based Qualcomm IM SDK, which supports the creation of comprehensive multimedia pipelines, and the Qualcomm Intelligent Robotics Product SDK, which incorporates hardware-accelerated ROS nodes and robotic algorithms.
Information on accessing SDKs via the Qualcomm Linux Portal and Qualcomm® Software Center, plus a look at sample applications on GitHub designed to jumpstart your development efforts.
This video is essential for developers eager to harness Qualcomm Linux for AI and multimedia applications at the edge. Whether you're starting a new project or expanding an existing one, the insights offered will enhance your understanding of the tools and resources available through Qualcomm Linux.
More about the Qualcomm Linux software stack:
https://www.qualcomm.com/developer/so...
Explore Qualcomm’s IoT solutions:
https://www.qualcomm.com/products/int...
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