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http://www.jcuda.org/tutorial/TutorialIndex.htmlJCUDA fichier cuda pas la compilation
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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];
}
}quand je compile ce code que je reçois cette erreur. J'utilise le NetBeans 8.2 et j'ai installé le Cuda. ça fonctionne parfaitement dans le studio visuel 2015. mais ça ne marche pas avec Java.
"lorsque je compile ce code, j'obtiens cette erreur." Quelle erreur? –
Avertissement nvcc: Les architectures 'compute_20', 'sm_20' et 'sm_21' sont obsolètes et peuvent être supprimées dans une future version (Utilisez -Wno-deprecated-gpu-targets pour supprimer l'avertissement). nvcc fatal: Impossible de trouver le compilateur 'cl.exe' dans PATH –