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Wearables, IoT-ready GPUs shrink silicon size

Posted: 03 Jun 2014 ?? ?Print Version ?Bookmark and Share

Keywords:wearable? IoT? GPU? MCU? MPU?

Vivante Corp. has rolled out a series of GPUs designed for wearables and IoT applications, targeting MPU/MCU platforms that require the most compact UI graphics hardware and software footprint.

The GCNano series is optimised for platforms with limited CPU resources, limited memory resources, and long battery life. It also extends support to include tight coupled integration with the display controller, no-OS/no-DDR configurations (GCNano Lite) and custom/full OS with minimal DDR memory for solutions that need OpenGL ES 2.0 (GCNano and GCNano Ultra).

The GPU manages the efficiency of PPA and software to improve overall device performance and BOM cost, while extending battery life from days/weeks between charges without restricting the onscreen user experience.

As part of the launch, Vivante's software driver stack, SDK and toolkit will support its NanoUI API that brings close-to-the-metal GPU acceleration for no-OS/no-DDR options on GCNano Lite, and the NanoGL API for more advanced solutions that include proprietary or high-level operating systems like embedded Linux, Tizen, Android, Android Wear and other RTOS that require OpenGL ES 2.0 in the smallest memory footprint.

The GPU includes aggressive power savings, intelligent composition and rendering, and bandwidth modulation that allow OEMs and developers to build rich visual experiences on wearables and IoT using an ultralight UI / composition driver.

GCNano family

The series includes the GCNano Lite, GCNano and GCNano Ultra, all architected for various wearable and IoT applications. Source: Vivante

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