Movidius’ new Visual Processing Unit help your next phone power VR experiences

[Wireless News]

http://l1.yimg.com/bt/api/res/1.2/LJQ80gMOhVs_J.K6kS4rdA--/YXBwaWQ9eW5ld3NfbGVnbztmaT1maWxsO2g9ODY7cT03NTt3PT EzMA--/http://media.zenfs.com/en-US/homerun/digital_trends_973/82ee3c036873ea98b3730b490a2df8a1 (http://news.yahoo.com/movidius-visual-processing-unit-help-194950288.html)Although virtual reality has been tried before, it’s only now in the second decade of the 21st century that it looks likely to hit the mainstream. It takes a lot of graphical oomf to power commercial VR hardware, though, which is why AMD and Nvidia are making big pushes to get their GPUs in line to power that new generation of games and experiences. But what if-a dedicated VR processor could augment more traditional hardware? That’s what Movidius is hoping to do with its Myriad 2, which the developer describes as a vision processing unit, or VPU. Designed as a mobile chip, that doesn’t mean that it is destined only for smartphone based VR like the Gear VR, but also products like Microsoft’s Hololens, and perhaps one day a truly portable version of the Oculus Rift or HTC Vive. The reason it could take things in a different direction than traditional GPUs, is the way it handles data.-The Myriad 2 is more targeted at sensor input, taking in data from hand position or eye tracking hardware, mapping out either or both into a virtual environment. When you factor in augmented reality, we’re told the Myriad 2 can also handle inputs from up to six HD cameras. Related :-Virtual Reality is ready to launch, but could it crash and burn? In other words, the VPU will handle all the complex calculations that let users interact with VR or AR environments in real time. This is important, as the accuracy and speed of a headset’s response to user motion and input not only improve the feel of using the device, but also reduces the chance a user will experience disorientation or motion sickness. The VPU’s-10 SHAVE 128-bit SIMD vector units should be rather capable, easily beating Nvidia Tegra hardware when it comes to visual processing applications. Interestingly, the chip uses shared memory between the vector units and on board RISC CPUs. There’s also only 2MB of it, which is far less than many more contemporary computational systems employ. However, the clock speed will be far lower, at just 300-600MHz, which should help keep power requirements low. Movidius is targeting a TDP of just two watts at full load, yet claims that it can output as much as 1,000GFLOPS for each of those watts in specifically visual tasks. When you combine that with a projected price tag of just $10 per chip, you can start to imagine how this could be a real game changer if all of Movidius’ promises for the Myriad 2 come true. Also watch: Asus ROG GX700 Hands On Please enable Javascript to watch this video



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