JCUDA cuda文件未编译

Question

http://www.jcuda.org/tutorial/TutorialIndex.html

/*
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 */
package jcudavectoradd;

/**
 *
 * @author Sanjula
 */
/*
 * JCuda - Java bindings for NVIDIA CUDA driver and runtime API
 * http://www.jcuda.org
 *
 * Copyright 2011 Marco Hutter - http://www.jcuda.org
 */
import static jcuda.driver.JCudaDriver.*;

import java.io.*;

import jcuda.*;
import jcuda.driver.*;

/**
 * This is a sample class demonstrating how to use the JCuda driver
 * bindings to load and execute a CUDA vector addition kernel.
 * The sample reads a CUDA file, compiles it to a PTX file
 * using NVCC, loads the PTX file as a module and executes
 * the kernel function. <br />
 */
public class JCudaVectorAdd
{
    /**
     * Entry point of this sample
     *
     * @param args Not used
     * @throws IOException If an IO error occurs
     */
    public static void main(String args[]) throws IOException
    {
        // Enable exceptions and omit all subsequent error checks
        JCudaDriver.setExceptionsEnabled(true);

        // Create the PTX file by calling the NVCC
        String ptxFileName = preparePtxFile("JCudaVectorAddKernel.cu");
        //String ptxFileName = "JCudaVectorAddKernel.ptx";
        
        // Initialize the driver and create a context for the first device.
        cuInit(0);
        CUdevice device = new CUdevice();
        cuDeviceGet(device, 0);
        CUcontext context = new CUcontext();
        cuCtxCreate(context, 0, device);

        // Load the ptx file.
        CUmodule module = new CUmodule();
        cuModuleLoad(module, ptxFileName);

        // Obtain a function pointer to the "add" function.
        CUfunction function = new CUfunction();
        cuModuleGetFunction(function, module, "add");

        int numElements = 100000;

        // Allocate and fill the host input data
        float hostInputA[] = new float[numElements];
        float hostInputB[] = new float[numElements];
        for(int i = 0; i < numElements; i++)
        {
            hostInputA[i] = (float)i;
            hostInputB[i] = (float)i;
        }

        // Allocate the device input data, and copy the
        // host input data to the device
        CUdeviceptr deviceInputA = new CUdeviceptr();
        cuMemAlloc(deviceInputA, numElements * Sizeof.FLOAT);
        cuMemcpyHtoD(deviceInputA, Pointer.to(hostInputA),
            numElements * Sizeof.FLOAT);
        CUdeviceptr deviceInputB = new CUdeviceptr();
        cuMemAlloc(deviceInputB, numElements * Sizeof.FLOAT);
        cuMemcpyHtoD(deviceInputB, Pointer.to(hostInputB),
            numElements * Sizeof.FLOAT);

        // Allocate device output memory
        CUdeviceptr deviceOutput = new CUdeviceptr();
        cuMemAlloc(deviceOutput, numElements * Sizeof.FLOAT);

        // Set up the kernel parameters: A pointer to an array
        // of pointers which point to the actual values.
        Pointer kernelParameters = Pointer.to(
            Pointer.to(new int[]{numElements}),
            Pointer.to(deviceInputA),
            Pointer.to(deviceInputB),
            Pointer.to(deviceOutput)
        );

        // Call the kernel function.
        int blockSizeX = 256;
        int gridSizeX = (int)Math.ceil((double)numElements / blockSizeX);
        cuLaunchKernel(function,
            gridSizeX,  1, 1,      // Grid dimension
            blockSizeX, 1, 1,      // Block dimension
            0, null,               // Shared memory size and stream
            kernelParameters, null // Kernel- and extra parameters
        );
        cuCtxSynchronize();

        // Allocate host output memory and copy the device output
        // to the host.
        float hostOutput[] = new float[numElements];
        cuMemcpyDtoH(Pointer.to(hostOutput), deviceOutput,
            numElements * Sizeof.FLOAT);

        // Verify the result
        boolean passed = true;
        for(int i = 0; i < numElements; i++)
        {
            float expected = i+i;
            if (Math.abs(hostOutput[i] - expected) > 1e-5)
            {
                System.out.println(
                    "At index "+i+ " found "+hostOutput[i]+
                    " but expected "+expected);
                passed = false;
                break;
            }
        }
        System.out.println("Test "+(passed?"PASSED":"FAILED"));

        // Clean up.
        cuMemFree(deviceInputA);
        cuMemFree(deviceInputB);
        cuMemFree(deviceOutput);
    }

    /**
     * The extension of the given file name is replaced with "ptx".
     * If the file with the resulting name does not exist, it is
     * compiled from the given file using NVCC. The name of the
     * PTX file is returned.
     *
     * @param cuFileName The name of the .CU file
     * @return The name of the PTX file
     * @throws IOException If an I/O error occurs
     */
    private static String preparePtxFile(String cuFileName) throws IOException
    {
        int endIndex = cuFileName.lastIndexOf('.');
        if (endIndex == -1)
        {
            endIndex = cuFileName.length()-1;
        }
        
        String ptxFileName = cuFileName.substring(0, endIndex+1)+"ptx";
        File ptxFile = new File(ptxFileName);
        if (ptxFile.exists())
        {
            return ptxFileName;
        }
        
        File cuFile = new File(cuFileName);
        if (!cuFile.exists())
        {
            throw new IOException("Input file not found: "+cuFileName);
        }
        String modelString = "-m"+System.getProperty("sun.arch.data.model");
        String command =
            "nvcc " + modelString + " -ptx "+
            cuFile.getPath()+" -o "+ptxFileName;

        System.out.println("Executing\n"+command);
        Process process = Runtime.getRuntime().exec(command);

        String errorMessage =
            new String(toByteArray(process.getErrorStream()));
        String outputMessage =
            new String(toByteArray(process.getInputStream()));
        int exitValue = 0;
        try
        {
            exitValue = process.waitFor();
        }
        catch (InterruptedException e)
        {
            Thread.currentThread().interrupt();
            throw new IOException(
                "Interrupted while waiting for nvcc output", e);
        }

        if (exitValue != 0)
        {
            System.out.println("nvcc process exitValue "+exitValue);
            System.out.println("errorMessage:\n"+errorMessage);
            System.out.println("outputMessage:\n"+outputMessage);
            throw new IOException(
                "Could not create .ptx file: "+errorMessage);
        }

        System.out.println("Finished creating PTX file");
        return ptxFileName;
    }

    /**
     * Fully reads the given InputStream and returns it as a byte array
     *
     * @param inputStream The input stream to read
     * @return The byte array containing the data from the input stream
     * @throws IOException If an I/O error occurs
     */
    private static byte[] toByteArray(InputStream inputStream)
        throws IOException
    {
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        byte buffer[] = new byte[8192];
        while (true)
        {
            int read = inputStream.read(buffer);
            if (read == -1)
            {
                break;
            }
            baos.write(buffer, 0, read);
        }
        return baos.toByteArray();
    }


}

extern "C"
__global__ void add(int n, float *a, float *b, float *sum)
{
    int i = blockIdx.x * blockDim.x + threadIdx.x;
    if (i<n)
    {
        sum[i] = a[i] + b[i];
    }

}

当我编译此代码时出现此错误。我正在使用 NetBeans 8.2 并安装了 Cuda。它在 visual studio 2015 中完美运行。但它不适用于 java.

Answer 1

我添加了 visual studio cl.exe 环境变量路径

C:\程序Files\MicrosoftVisual Studio10.0\VC\bin 转到我的电脑 -> 属性 -> 高级系统设置 -> 环境变量。在这里在列表中查找 "PATH"，并添加上面的路径（或任何 cl.exe 的位置）。

JCUDA cuda文件未编译

JCUDA cuda file not compiling

java

cuda

gpgpu

jcuda