GPU silicon IPs from Vivante takes only 0.3mm space in 28nm

GCNano Series GPU semiconductor IP from Vivante, which include GCNano Lite, GCNano and GCNano Ultra are designed for wearable and IoT IC design applications. These silicon IPs are optimized for MCU/MPU solutions with limited CPU resources. GCNano Lite supports no-OS / no-DDR configurations, and GCNano and GCNano Ultra supports full OS with minimal DDR memory for solutions that need OpenGL ES 2.0. Vivante says it is also offering software driver stack, SDK and toolkit to 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. “Wearables and IoT will create a new way of accessing, analyzing and displaying data much like the smartphone has changed the way we access information. To create compelling wearables and IoT products that meet user demand for intuitive UIs, size, weight and power, the industry has expanded to include application specific MCU/MPU hardware to enable a new category of products. Graphical UIs are a key driver in product adoption and traditional MCU/MPU platforms have historically focused on simple UI displays, which fragment those products from typical consumer devi...