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Thread: clBuildProgram returns CL_INVALID_BINARY for double data types on a GTX 480

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  1. #1
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    Mar 2012
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    clBuildProgram returns CL_INVALID_BINARY for double data types on a GTX 480

    Today I tried to compile my program on a CUDA machine:

    * platform: NVIDIA CUDA [0]
    * version: OpenCL 1.1 CUDA 4.2.1
    * device: GeForce GTX 480 [0]
    * compute units: 15
    * global memory: 1535MB
    * max. buffer size: 383MB
    * max. work group size: 1024
    * floating point precision: double

    The opencl program won't build with this kernel:

    #pragma OPENCL EXTENSION cl_khr_fp64: enable

    __kernel void test(__global double *a, __global double *b)
    {
    int i = get_global_id(0);
    a[i] = 99.9;
    b[i] = a[i] + 77.7;
    }

    But it runs fine with this one:

    // #pragma OPENCL EXTENSION cl_khr_fp64: enable

    __kernel void test(__global float *a, __global float *b)
    {
    int i = get_global_id(0);
    a[i] = 99.9f;
    b[i] = a[i] + 77.7f;
    }

    Both kernels are build and executed correctly on a second machine with a HD7970. It gets even stranger: The following kernel will build and execute on the GTX 480 machine:

    #pragma OPENCL EXTENSION cl_khr_fp64: enable

    __kernel void test(__global double *a, __global double *b)
    {
    int i = get_global_id(0);
    a[i] = 99.9;
    b[i] = 77.7;
    }

    The only difference to the first kernel is that I've removed a[i] in the last line. It turns out, that the program won't build if I use double data type and try to read from either array a or b. But there is no problem with writing to both arrays! Can someone think of the reason? The driver is 304.54 and CUDA version is 5.0.35. I also tried the same code on another machine with a GTX 480 but with driver version 319.37 and CUDA 5.5.22 and got exactly the same behavior.
    Last edited by MaximS; 11-06-2013 at 02:03 AM.

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