Imagination Technologies has announced that an advanced GPU accelerated VP9 software decoder for its industry-leading PowerVR Series6 Rogue GPUs is available from Imagination’s strategic partner MulticoreWare. Developed in partnership with Google, the OpenCL based decoder supports playback of YouTube video at 1080p, 30fps, providing a low-power solution for HD video on devices such as mobile devices, tablets, connected TVs and other products. With this new decoder, existing products with PowerVR Series6 GPUs can now play VP9 generated content.
Squid Systems announced at Mobile World Congress the availability of its highly efficient HEVC decoder software for mobile devices. The Squid decoder software operates on popular mobile processors based on ARM Limited designs and on processors made by Intel Corporation, and includes OpenCL optimization to exploit the processing power of popular GPUs available on mobile processors.
Imagination Technologies wowed visitors to Mobile World Congress today with the first public demonstration of 3DMark's Cloud Gate benchmark test running on mobile hardware. 3DMark Cloud Gate is a new OpenGL ES 3.0 benchmark for mobile platforms from Futuremark, a leading provider of high-performance benchmarking software.
Qualcomm has added the Snapdragon 610 and 615 chipsets to the Snapdragon 600 tier for high-end mobile computing devices. Both new chipsets integrate Qualcomm Technologies’ 3rd Generation LTE modem, supporting Category 4 data rates for new requirements such as LTE-Broadcast and LTE Dual SIM Dual Active (DSDA). The chipsets also feature Qualcomm Technologies’ Adreno 405 GPU which support the latest mobile graphics APIs like DirectX 11.2 and OpenGL ES 3.0 with added support of hardware accelerated geometry shading and hardware tessellationfor more detailed, realistic mobile games and visually stunning user interfaces. The Adreno 405 also supports Full Profile OpenCL for superior GPGPU compute, video and image processing.
In the OpenGL ES 3.0 Programming Guide, Second Edition, the authors cover the entire API and Shading Language. They carefully introduce OpenGL ES 3.0 features such as shadow mapping, instancing, multiple render targets, uniform buffer objects, texture compression, program binaries, and transform feedback.
The free OpenGL ES CapsViewer app is now available for Android. This tools reads out all hardware capabilities of Android devices and can upload them to an online database that developers can access to check out OpenGL ES 2.0 and OpenGL ES 3.0 capabilities for the various devices out on the market. The database contains OpenGL ES information including extensions, compressed texture formats, capabilities, EGL extensions, device features and available hardware sensors. You can compare up to 8 different devices at once, so developers can easily check out what features are supported by their targeted devices.
The newly-released Kishonti GFXBench 3.0 is comprised of nearly all new tests, including battery, render quality, and the first serious OpenGL ES 3.0 performance metric. Newly introduced is the demanding Manhattan test, utilizing OpenGL ES 3.0-specific complex lighting, particles, and, most important, deferred shading. Tom's Hardware has a complete rundown of GFXBench and the GFXBench website contains lots of results for various mobile devices.
The problem with disruption is that it's so… disrupting. This is also what's so attractive about it. The important question is what's on the intended receiving end of that disruption. If it is your competitors' business models and market positions, OpenCL provides a remarkable lever for achieving those objectives.
CEVA announced that it has enriched its CEVA-CV computer vision real-time library to include more than 750 functions. New functions added in the latest CEVA-CV release include feature detection kernels and object recognition algorithms such as Harris Corner, Hough Transform, Integral Sum, Fast, LBP, SURF, HOG, SVM, and ORB detection and matching. CEVA-CV now also includes kernels required by The Khronos Group's OpenVX 1.0 specification, which is set to become the key standard for cross-platform acceleration of computer vision applications and libraries.