working on GPU code

attic

*.log

FOCUS-PSF*

src/main/resources/trained_model

 No newline at end of file

        copyH2D.WidthInBytes =    width_in_bytes;

        copyH2D.Height =          height; // /4;

// for copying results back to host

// for copying results to host

        CUDA_MEMCPY2D copyD2H =   new CUDA_MEMCPY2D();

        copyD2H.srcMemoryType =   CUmemorytype.CU_MEMORYTYPE_DEVICE;

        copyD2H.srcDevice =       dst_dpointer; // ((test & 1) ==0) ? src_dpointer : dst_dpointer; // copy same data

        copyD2H.WidthInBytes =    width_in_bytes;

        copyD2H.Height =          height; // /2;

        // Set up the kernel parameters: A pointer to an array

        // of pointers which point to the actual values.

        // kernel parameters: pointer to pointers

        Pointer kernelParameters = Pointer.to(

            Pointer.to(dst_dpointer),

            Pointer.to(src_dpointer),

    			0, null,                 // Shared memory size and stream (shared - only dynamic, static is in code)

    			kernelParameters, null);   // Kernel- and extra parameters

        // Copy the data from the device back to the host

        // Copy the data from the device to the host

        cuMemcpy2D(copyD2H);

        // clean up

        cuMemFree(src_dpointer);

        cuMemFree(dst_dpointer);

    }

    public int setup() throws IOException // String arg, ImagePlus imagePlus)

    public int setup() throws IOException

    {

    	// From code by Marco Hutter - http://www.jcuda.org

        // Enable exceptions and omit all subsequent error checks

        JCudaDriver.setExceptionsEnabled(true);

        JNvrtc.setExceptionsEnabled(true);

        cuCtxCreate(context, 0, device);

        // Obtain the CUDA source code from the CUDA file

        // Get absolute path to the file in resource foldder, then read it as a normal file.

        // When using just Eclipse resources - it does not notice that the file

        // was edited (happens frequently during kernel development).

        ClassLoader classLoader = getClass().getClassLoader();

        File file = new File(classLoader.getResource(GPU_KERNEL_FILE).getFile());

        System.out.println(file.getAbsolutePath());

    }

    /**

     * Create the CUDA function object for the kernel function with the

     * given name that is contained in the given source code

     *

     * Create the kernel function by its name in the  source code

     * @param sourceCode The source code

     * @param kernelName The kernel function name

     * @return