Imagination’s GPU IP steps up graphics performance
The PowerVR Series9XE and Series9XM GPUs are intended to allow SoC vendors and OEMs to minimize costs and power consumption while ensuring the best possible user experience for gaming and GUI in devices such as smartphones, automotive infotainment, set-top boxes and TVs. These PowerVR GPUs promise compelling graphical capabilities for even constrained price points, giving SoC developers a flexible family of GPUs that provides the right level of performance for products to stand out at any price point.
Series9XE GPUs continue and extend the fillrate/mm2 of last year’s PowerVR 8XE series of GPUs to deliver the best possible real world user experience for GUI, HMI (human machine interface) and casual gaming on cost-efficient products including DTVs, set-top boxes, streaming sticks/dongles, automotive infotainment and cluster electronics, and entry-level mobile and tablet devices. The range has been extended with a new eight pixel/clock (8PPC) core which is ideal for GUI focused applications requiring support for 4K60.
Series9XM GPUs, with increased compute density (GFLOPS/mm2), are claimed as the industry’s best graphics cores for compute and gaming on devices such as premium gaming set-top boxes, mid-range smartphones and tablets, and automotive infotainment systems, with the ability to scale to 4K and beyond.
Both new families also benefit from improvements in the memory subsystem, reducing bandwidth by as much as 25% over previous generations to ensure the increased processing power can be fully exploited. Other new features common to the 9XE and 9XM families include a new MMU, allowing a greater address range and standard support for 10-bit YUV across the range, without impacting area.
The new GPUs can be used with the PowerVR 2NX Neural Network Accelerator (NNA); Imagination’s new PowerVR Series2NX neural network accelerator (NNA) lets companies building SoCs for mobile, surveillance, automotive and consumer systems achieve high-performance computation of neural networks at very low power consumption in minimal silicon area. In devices such as mobile phones where a GPU is mandated, companies can use a 9XE/9XM GPU to manage the classic vision processing algorithms and offload the neural net processing to the PowerVR 2NX NNA. Because of the performance density of the PowerVR NNA and the GPUs, companies can implement this combination in the same silicon footprint as a competing standalone GPU.
Series9XE GPU IP cores are available for licensing now in configurations including:
1 PPC with 16 F32 FLOPS/clock(GE9000)
2 PPC with 16 F32 FLOPS/clock (GE9100)
4 PPC with 32 F32 FLOPS/clock (GE9210)
8 PPC with 64 F32 FLOPS/clock (GE9420)
Series9XM GPU IP cores are available for licensing now in configurations including:
4 PPC with 64 FP32 FLOPS/clock (GM9220)
4 PPC with 128 FP32 FLOPS/clock (GM9240)
8 PPC with 128 FP32 FLOPS/clock (GM9240)
Imagination; www.imgtec.com
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