First envisioned by MIT technologist Kevin Ashton in 1999, the Internet of Things (IoT) is the concept of having almost all objects surrounding us equipped with a microchip identifier and linking each object thus equipped to the internet. The possible application of this idea are in theory limitless and perhaps a bit scary, but at the time of its envisioning, it was still theoretical. Advances in miniaturization are bringing us closer to a world where the IoT is realistically possible, and today Vivante Corporation took another step toward that direction.
Vivante today announced an area-optimized version of its GC series OpenGL 2.0 ES GPU cores for Wearable and other IoT devices. Featuring the industry's tiniest GPU core, less than one mm2, the GC 400 gives MCU/MPU silicon vendors a simple plug-in solution and complete IoT software stack capable of adding full-featured smartphone graphics capabilities to any product line.
Emerging IoT solutions ranging from home automation (HA), security, and appliances, to medical electronics and monitoring systems/sensors will require a GPU to create compelling user interface (UI) and establish product differentiation. Vivante's IoT GC400 core allows end products to feature fully-integrated graphical interfaces, in order to provide a seamless user experience (UX) across devices.
Cisco's IBSG group, predicts that there will be 25 billion devices connected to the internet by 2015 and 50 billion by 2020, of which Wei-Jin Dai, Vivante President and CEO remarks that "this huge number of interconnected smart devices represents an enormous opportunity for the GPU to make the impersonal device personable and offer a great user experience from the TV to the smartphone through to the breadth of IoT devices with screens of any size."
Vivante's IoT product graphics chip is optimized for Google Android, Windows Embedded, and other operating systems, and features CPC composition processors, 3D and vector graphics, and optional GPGPU cores. Vivante IoT cores leverage a unified driver architecture that is compatible with industry-standard application programming interfaces like OpenGL(R) ES 2.0, desktop OpenGL(R), OpenCL(R), OpenVG(R), Microsoft(R) DirectX(R) 11, WebGL, Google Renderscript / FilterScript Compute, and other standard APIs.
The GC 400 IoT GPU also features:
- World's smallest licensable OpenGL ES 2.0 GPU Core at less than 1 mm2 total silicon area (TSMC 28nm HPM process technology)
- Supports up to 720p @ 60 FPS with high quality 32-bit color formats
- Supports all major IoT operating systems, APIs and middleware
- Accelerated composition processing
- Ultra-low power consumption
- Tiny software driver footprint for DDR constrained and DDR-less configurations
- Real-time sensor fusion processing to reduce bandwidth and increase device intelligence
- Industrial temperature support for -40C to 85C