Telecom Lead Asia: Renesas Mobile’s new processor platform for LTE smartphones offers 300 percent increase in GPU performance and memory performance.
Based on ARM big.LITTLE technology, MP6530 extends the Renesas Mobile portfolio for mid- to high-end handsets priced between $200 and $400 by integrating up to 2GHz applications processor with a LTE Cat-4 modem on a single die.
The new processor delivers better multimedia use cases, and extreme power efficiency to extend device battery life.
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Samples of the MP6530 platform will be available to Tier 1 OEMs in early 2013.
Jean-Marie Rolland, chief technology officer and executive vice president of marketing and sales for Renesas Mobile, says the new processor allows its OEM customers to bring optimized mid- to high-end LTE devices to market quickly.
Renesas Mobile claims that GPU performance has been increased by 300 percent to deliver immersive gaming experiences, 2D and 3D interfaces and screens
In addition, Renesas Mobile has increased the memory performance 300 percent to enable new multimedia use cases and features such as full HD external display support and full HD over WiFi, allowing more people to bring mobile phone content to larger screens in their living rooms.
In addition, the platform’s enhanced imaging capabilities can deliver features that allow a smartphone to replace a digital still camera, with support for high-megapixel, digital SLR-like, on-the-fly imaging support, real-time face detection, image stabilization and noise filtering.
big.LITTLE connects ARM Cortex-A15 MPCore processor with the Cortex-A7 processor to enable application software to switch seamlessly between them
The Cortex-A15 processors can be used for compute-intensive applications, such as console-like gaming, fast page rendering and downloads while browsing, and media editing and processing. The Cortex-A7 processors take over to efficiently process the majority of smartphone workloads and background tasks such as social media and email syncs, audio or video playback and other always-on, always-connected tasks.
