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.
QNX Software Systems Limited unveiled their latest generation of QNX Neutrino operating system. Designed to bring mobile-class user experiences to secure embedded systems, the QNX OS 6.6 offers new graphics, UI, multimedia, security, and power management capabilities. For the ultimate in UI design flexibility, the QNX OS includes a new graphical composition manager that can seamlessly blend apps and components created in HTML5, OpenGL ES, and Qt 5, together with video from connected devices. The composition manager supports native OpenGL ES hardware acceleration, multi-touch input control with gestures, and a driver framework based on industry-standard OpenWF Display APIs.
muvee Device Solutions Group announced the release of the muvee Advanced Multimedia SDK (mAMS) to enable customers, partners and developers to create video applications with video, text, and audio support. mAMS eliminates the big hurdles of developers having to learn the intricacies of multimedia frameworks, by using third party libraries like OpenGL and OpenMax.
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.