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NVIDIA CUDA 11.0 Released With Ampere Support, New Programming Features

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  • #11
    Originally posted by Slartifartblast View Post
    That's because AMD couldn't write their own for shit, did you ever use fglrx ?
    Originally posted by Pranos View Post
    fglrx was ATI. As i know, AMD had to rewrite most parts or the complete driver (even for Windows) because they didnt got the code/most of the code from ATI after they have bought it and ATI had no or worse documentations about their GPUs. So its not the fault from AMD.
    Actually neither of those are correct. ATI's initial Linux support was via open source drivers, working with VA Linux / Precision Insight, and all our Linux drivers were open source until 2001/2002, when we purchased FireGL from SonicBlue (aka Diamond Multimedia + S3).

    The fglrx driver was an attempt to use the FireGL workstation driver for both workstation and client/desktop users, so we ported the FireGL code from IBM HW to our GPUs. The resulting "fglrx" driver ended up being quite good for workstation but not so good for client/desktop, partly for architectural reasons and partly because the leveraging of Windows driver code during porting pretty much forced binary-only delivery.

    We re-started open source driver development in 2007 focusing first on client/desktop, and IIRC around 2011 started rebuilding the workstation stack around the same open source driver code. We had full access to fglrx source code and still do, although a lot of the code was shared with Windows which made it very difficult to use in an upstream driver.

    Supporting the workstation userspace drivers required some ioctl changes compared to what radeon had implemented, and at the same time we wanted to start getting ready for new generations of HW that were going to be built around a common data fabric, so we re-architected the driver to be organized around IP blocks (GFX, SDMA, UVD etc...) at the same time, resulting in the new amdgpu kernel driver and stack.

    The first fabric-based ("SOC15") GPU generation was Vega, but we were able to make amdgpu the primary driver starting with VI (Tonga).
    Last edited by bridgman; 07-08-2020, 06:57 PM.

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    • #12
      Originally posted by bridgman View Post
      Actually neither of those are correct.
      thank you for clarification. keep up the great work.
      Last edited by Pranos; 07-08-2020, 06:12 PM.

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      • #13
        Dammit my GTX 680 4GB that I paid $600 in 2012 is paperweight now, CUDA 11.0 and included 450.51.05 driver do install fine but most of the samples won't run due to:
        Code:
        simpleTexture.cu(218) : getLastCudaError() CUDA error : Kernel execution failed : (209) no kernel image is available for execution on the device.
        during compilation nvcc says:
        Code:
        nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated
        I tried to hack Makefile to include sm_30 arch but get:
        Code:
        nvcc fatal   : Unsupported gpu architecture 'compute_30'
        thanks leather jacket man.

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        • #14
          Yay, I can look forward to a raft of "I-updated-CUDA-and-now-my-GPGPU-programs-don't-work-but-they-used-to-work-why-don't-they-work-any-more" flooding my inbox...

          ...

          I had a FireGL 8800 back in the day. Loved that card. First ATi GPU (VPU) I had on a Linux box, and it just worked. For years I wondered why ATi had such a bad rep for Linux drivers. Then I had the pleasure of using an X1600M in Linux. Oh boy...

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          • #15
            Originally posted by hax0r View Post
            Dammit my GTX 680 4GB that I paid $600 in 2012 is paperweight now.
            Well, you can continue to run CUDA 10.x for a while.
            Also, if you've gotten 8 good years out of a GPU, be grateful.

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