Debugging with Intel SDK for OpenCL Applications: This video demonstrate how to use Intel SDK for OpenCL API debugger to debug your application’s host code and how to use Intel SDK for OpenCL CPU Kernel Debugger to debug your OpenCL kernels. Performance Analysis with Intel SDK for OpenCL Applications: This video demonstrate how to use Intel SDK for OpenCL analysis tools to identify performance bottlenecks in the host API calls and optimize the kernel code to get better utilization and reduce the latency on Intel® Processor Graphics.
Khronos sponsored a day long course covering both the function-based API and the graph API that enable OpenVX developers to efficiently run computer vision algorithms on heterogeneous computing architectures. One section explains the tutorial exercises with a VirtualBox VM, which can be downloaded from the tutorial on Github. The Embedded Vision Summit schedule is located here, the tutorial is on Github and the associated videos from the day long tutorial are available on Youtube.
ELVEES companies group and Imagination Technologies announce the ELVEES Image Semantic Engine (ELISE), a unique next-generation multi-platform SoC offering a wide range of video analytics markets. Companies can use the new ELISE chip to develop a new generation of IP cameras with video analysis and a wide range of OEM modules. Unique hierarchical ELISE tools have been developed, including libraries for the Khronos OpenVX API and the innovative VIPE tool for vision and general purpose algorithm development on mixed multi-platform CPU/Velcore/GPU SoC systems.
Both AMD and Khronos Group now have their GDC related presentations online. You will find the AMD list of presentation on their new GPU Open website. Khronos has their presentations and videos listed on their event page archive.
Neil Trevett delivers the presentation, “Update on Khronos Open Standard APIs for Vision Processing,” at the December 2015 Embedded Vision Alliance Member Meeting. Neil provides an update on recent developments in multiple Khronos standards useful for vision applications.
Intel Integrated Native Developer Experience (Intel® INDE) Update 2 introduced the OpenCV beta feature. Intel INDE OpenCV beta is compatible with the open source OpenCV 3.0. Provides pre-complied libraries for computer vision applications development for usages like enhanced photography, augmented reality, video summarization, and more. This release Includes IDE integration features. Provides easy to build and create environment for computer vision applications directly from preferred IDEs like Microsoft Visual Studio, Eclipse, or Android Studio. Also available open source at OpenCV.org, the standard optimizations with OpenCL and Intel Integrated Performance Primitives (Intel IPP) and Intel Threading Building Blocks (Intel TBB) ensures Intel INDE OpenCV applications are optimized to Intel’s heterogeneous platforms, accelerated with Intel HD and Intel Iris™ graphics family.