Mobile | Home | Embedded | Auto
- Mobile devices give you the power to play, watch, and connect – on the go, anywhere, and anytime. Features found on your PC, TV, and game console come to life in your hand, at the click of a button or swipe of your finger. New architectural innovations in the GPU and composition pipelines bring butter smooth composition, blazingly fast 3D game performance, accelerated graphics web browsing, and GPU programmability with OpenCL and Renderscript for augmented reality (AR) and image / video processing.
Vivante provides the industry’s most scalable multi-GPU solutions targeting high end, performance smartphones all the way to mass market devices that unlock many high end features on mainstream devices embedded applications where reliability, reduced footprint, and low power features are essential. Some examples of GPU technology in embedded markets include:
Butter Smooth Composition
Vivante composition processing cores (CPC) lowers power 10x, boosts performance 4x, and cuts bandwidth 50% for user interface (UI) composition tasks that need multiple layers up to 4Kx2K UHD resolutions. The CPC supports fast, smooth, and seamless scrolling across desktops and pages, stutter-free frame rendering, and animated icons. Learn more >
Blazingly Fast 3D Graphics
The GPU is a co-processor at the heart of a mobile device, rendering all the graphics and visual content that turns a device into a user experience powerhouse. The immersive visual experience captures the imagination and gives you a heart pounding rush as you dive into action at the center of your 3D mobile universe. Efficient unified shaders supporting the latest 3D API features and extensions ensure your smartphone and tablet support the latest game engine features. Learn more >
Innovations in GPU technology have opened the door for new uses of parallel processing that go beyond graphics. GPU compute products that originally shipped in PCs and workstations are now available in mobile devices, with the same level of features, API support, and math precision. Augmented reality (AR) with sensor fusion that were shown in movies can now be implemented with the GPU. Real-time image processing of photos similar to Photoshop manipulations can be done directly on a mobile device and shared instantaneously. Multi-context support that require 3D and GPU Compute for realistic gameplay to process graphics and game physics (fire, explosions, smoke, ripples, splashes, and more) or motion gestures are supported with the latest multi-core GPUs that automatically balances GPU and compute workloads for the best performance. All those features are available in your hand using Vivante’s multi-purpose, programmable GPU cores. Learn more >
Consumer and Home Entertainment
- Vivante provides key technologies that bring out the latest interactive experiences in the connected living room. Users can take control of their devices to browse, preview, enjoy, and interact with their smart TVs, set top boxes, game consoles, and media players – in real time and on any screen. The same look and feel found in the past on high end consumer devices and tablets have now moved onto TV screens and provide the same responsiveness and snappy interface. All these experiences are enhanced on the larger screen size to give a true cinematic experience that brings content to life.
Vivante technologies built for the consumer and home entertainment markets include:
- 4K Ultra HD TV support for multimedia – crystal clear graphics, studio quality HD video, and real life images.
- Composition processing to blend all the visual content and data intuitively to give a futuristic feel that brings excitement back to the living room. Learn more >
- User interface (UI) processing that includes animated icons and 3D UI effects
- 3D graphics optimized for local and cloud based game play. Learn more >
- Vision processing optimized for GPU Compute operations using OpenCL and OpenCV (Computer Vision) for gesture, HDR image/video pre- and post-processing, facial tracking and recognition, and trans-media processing. Learn more >
- Embedded devices are ubiquitous pieces of technology that modernize, automate, and improve our everyday lives. Examples include the refrigerator that tracks its inventory and sends you a message when you are low on milk, or the in-home healthcare monitor that measures your vital statistics like temperature or blood sugar using a network of cameras and sensors and connects you directly to your doctor for a video conference to discuss your results, or the home control unit that regulates appliance electricity usage and adjusts their duty cycle in real-time. These are a few examples where disruptive GPU, GPU Compute, and Composition technologies bring novel features and product differentiation to devices. The familiarity of mobile device look-and-feel together with re-use of mobile SoC technologies in these emerging markets has expanded graphics and compute functionality and bring new meaning to the connected lifestyle and Internet of Things (IOT).
Vivante provides small area GPU cores suitable for embedded applications where reliability, reduced footprint, and low power features are essential. Some examples of GPU technology in embedded markets include:
Connected Smart Home
intelligent appliances and home automation and control systems using graphics and composition technologies to render dynamic user interfaces that rival mainstream tablets and smart TVs. Learn more >
printers that bring graphics accelerated web browsing to your fingertips and GPU Compute to accelerate image processing algorithms and PPM (pages per minute) output.
In-home medical monitoring devices that continuously measure important vital signs with intuitive, user friendly graphical interfaces that accurately displays information along with 3D organ rendering plus motion (4D technology) that provides a comprehensive view of an ailment. Learn more >
Security and Surveillance
Vision processing of objects and people using OpenCL and OpenCV for monitoring, detecting, and alerting to eliminate false alarms and intelligently process real-time analytics and minimize data storage and network bandwidth. Additional enhancements include composition and 3D processing of multiple video streams, overlay/masks, control buttons, and images on Full HD and Ultra HD control center displays.
Vision processing algorithms used in cars and security and surveillance can be applied to robotics in areas like factory automation (scan and sort) and unmanned vehicles. Learn more >
Cameras and Computational Photography
GPU Compute in computational photography will migrate from high end systems to mass market devices found in your pocket. Advanced image manipulation and processing can be done in real-time on the device itself and shared immediately instead of waiting for a computer system. In addition, new cameras based on Android with advanced menu systems and multiple layers of content require GPU and Composition cores to improve the responsiveness of the those products.
- People spend significant amounts of time in their car – whether commuting, going on a family road trip, or running errands. The car has evolved from a mode of transportation into another comfort zone that extends the personal lives of driver and passenger outside the home. Many of the same user experience requirements found in consumer devices are also now expected inside the car. Accurate, responsive, fast and photo-realistic images are all prerequisites that automotive solutions must meet to be considered car-worthy.
Vivante automotive technologies already power some of the leading graphics display and safety systems found in cars. From digital instrument clusters and in-vehicle infotainment, to Advanced Driver Assistance System (ADAS) safety features, Vivante solutions have been selected by top automotive OEMs to handle these key processing tasks.
In a visual centric automobile the most complete Vivante solutions include:
- 3D cores to create dynamic 3D images and true perspective moving maps with 3D objects and terrain. Learn more >
- Composition Processing Cores (CPC) that render the UI with captivating effects and realistic looking dials and gauges. Learn more >
- Vector Graphics cores for QoS, accurate needle rendering, and scalable font/line rendering. Learn more >
- OpenCL / HSA cores to accelerate vision processing algorithms. Learn more >
Digital Instrument Clusters
Automotive instrument clusters are moving from traditional analog dials and gauges to digital dashboards rendered on instrument cluster screens. New specifications from leading automotive OEMs require advanced graphics rendering to be at the heart of the digital automotive experience. This next wave of immersive user experience extends home and mobile entertainment into the car.
In-Vehicle Infotainment (IVI)
IVI is the heart of the automotive consumer experience that includes the center console and extends to the rear seats. These larger screens can display 3D navigation in higher resolution, show the latest multimedia, allow users to play 3D games, download apps from the cloud, thus bringing the tablet and smart TV experience to the car.
Advanced Driver Assistance Systems
General purpose GPUs (GPGPU) running the OpenCL API are bringing advanced safety features to “intelligent” cars. Collision Avoidance Systems (CAS), sign / pedestrian detection and recognition, lane departure warning, driverless cars, and adaptive cruise control are some examples of applications that can be accelerated on the GPU. Parallel vision algorithms based on sensor fusion is another key area of innovation that is moving from research to GPU processing.