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Graphics Stats Upgrades Hardware

NVIDIA Tegra K1: First Mobile Chip With Hardware-Accelerated OpenCL 52

Posted by timothy
from the bragging-rights dept.
New submitter shervinemami writes (starting with a pretty big disclaimer: "I'm an Engineer at NVIDIA.") The latest CompuBench GPU benchmarks show NVIDIA's Tegra K1 running whole OpenCL algorithms around 5x faster than any other mobile device, and individual instructions around 20x faster! This huge jump is because mobile companies have been saying they support OpenCL on mobile devices since early 2013, but what they don't mention is that they only have software API support, not hardware-accelerated OpenCL running faster on their GPUs than CPUs. Now that NVIDIA's Tegra-K1 chip has started shipping in devices and thus is available for full benchmarking, it is clearly the only mobile chip that actually gives you proper hardware-accelerated OpenCL (and CUDA of course!). The K1 is also what's in Google's Project Tango 3-D mapping tablet.
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NVIDIA Tegra K1: First Mobile Chip With Hardware-Accelerated OpenCL

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  • Re:False. (Score:2, Insightful)

    by WilyCoder (736280) on Sunday August 10, 2014 @03:30PM (#47643371)

    "Tegra K1 ... is the first one to officially offer it (OpenCL)"
    "TK1 embedded Linux board doesn't support OpenCL at all"

    ^^^That's some fine nVidia double-think right there ^^^

    "Tegra K1 chip supports hardware-accelerated OpenCL on Android."

    Ahh there it is, finally the cold hard truth. Took us a little bit of time to get to the truth now, hmmm?

    "but that is due to Linux OS related issues"

    Oh we are back to playing loose with the truth now!

    So we have Cuda on TK1 but not CL because of Linux OS issues. Yeah, right. This site is the PERFECT place to finger-point at Linux so thank you for providing us with some weekend entertainment!

  • by shervinemami (1270718) on Sunday August 10, 2014 @05:28PM (#47643873) Homepage

    OpenCL isn't supported by Tegra K1 on Linux4Tegra (ie: Jetson TK1 embedded board) but it is clearly supported on Android, hence why this benchmark was able to execute and post results.

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