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October 15, 2012

ARM brings POP IP technology for ARM Mali-T600 series GPUs

The new technology is created to produce efficient GPU implementations at 28nm

By CBR Staff Writer

UK based semiconductor firm ARM has introduced a POP IP application for ARM Mali-T600 series graphics processor units (GPUs).

POP IP is a core-hardening acceleration technology is claimed to produce efficient implementations of ARM processors and is optimised for the Mali-T628 and Mali-T678 on TSMC 28nm HPM process technology, the company claimed.

Mali GPUs will be included in end devices, including smartphones, as well as tablets and smart TVs. It is critical that designers can optimise their Mali GPU for their selected end applications.

ARM said the optimised POP IP technology, which is developed in collaboration by ARM’s Media Processing and Physical IP divisions will offer efficient GPU implementations at 28nm.

POP IP technology is comprised of three elements necessary to achieve an optimised ARM processor or GPU implementation.

The Artisan physical IP standard cell logic and memory cache instances that are tuned for a given ARM processor and foundry technology, while the benchmarking report documents the exact conditions and results ARM achieved for the processor implementation across an envelope of configuration and design targets.

ARM’s POP IP technology includes the detailed implementation knowledge that comprises floor plans, scripts, design utilities and a POP implementation guide, which enables the end customer to achieve similar results quickly and with lower risk.

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The POP IP enabled Mali-T600 series GPU implementation results in enhanced performance density/watt, and significant silicon savings.It deliver up to 275 higher frequency, 24% lower area and 19% lower power than implementations which do not use POP IP.

ARM Media Processing Division general manager Pete Hutton said the company brings the benefits that have been experienced with POP IP usage around Cortex process implementation to Mali GPUs.

"POP IP for Mali GPUs is not about pre-determined benchmarks, it’s about giving our partners greater flexibility by leveraging ARM’s holistic approach to explore and find the right optimization customized to the specific end-application," Hutton said.

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