public void PtxCompileNVCCMultiprocess() /// NVCC
{
Parallel.ForEach(sourceCodes, (sc) =>
{
var km = new CudafyModule();
km.SourceCode = sc.rendered;
var co = NvccCompilerOptions.Createx64(new Version(8, 0), eArchitecture.sm_30);
co.CompileMode = eCudafyCompileMode.Binary;
co.AddOption("-w");
km.CompilerOptionsList.Add(co);
km.Compile(eGPUCompiler.CudaNvcc, false, eCudafyCompileMode.Binary, rng.Next().ToString());
sc.cubin = km.Binary.Binary;
});
}
private void btnCompile_Click(object sender, EventArgs e)
{
try
{
if (_module == null)
{
_module = new CudafyModule();
}
if (_module != null)
{
eArchitecture arch = (eArchitecture)Enum.Parse(typeof(eArchitecture), cbArch.SelectedItem as string);
if (arch == eArchitecture.OpenCL)
{
MessageBox.Show(this, "OpenCL modules are not compiled.", "Information", MessageBoxButtons.OK, MessageBoxIcon.Warning);
return;
}
if (!cb32bit.Checked && !cb64bit.Checked)
{
MessageBox.Show(this, "Select a platform.", "Information", MessageBoxButtons.OK, MessageBoxIcon.Information);
return;
}
_module.SourceCode = tbSource.Text;
NvccCompilerOptions opt = null;
_module.CompilerOptionsList.Clear();
_module.RemovePTXModules();
if (cb64bit.Checked)
{
opt = NvccCompilerOptions.Createx64(arch);
_module.CompilerOptionsList.Add(opt);
}
if (cb32bit.Checked)
{
opt = NvccCompilerOptions.Createx86(arch);
_module.CompilerOptionsList.Add(opt);
}
_module.Compile(eGPUCompiler.CudaNvcc, false);
FillForm();
}
}
catch (Exception ex)
{
HandleException(ex);
}
}
/// <summary>
/// Cudafies the specified types. Working directory will be as per CudafyTranslator.WorkingDirectory.
/// </summary>
/// <param name="platform">The platform.</param>
/// <param name="arch">The CUDA or OpenCL architecture.</param>
/// <param name="cudaVersion">The CUDA version. Specify null to automatically use the highest installed version.</param>
/// <param name="compile">if set to <c>true</c> compile to PTX.</param>
/// <param name="types">The types.</param>
/// <returns>A CudafyModule.</returns>
public static CudafyModule CudafyOld(ePlatform platform, eArchitecture arch, Version cudaVersion, bool compile, params Type[] types)
{
CudafyModule km = null;
CUDALanguage.ComputeCapability = GetComputeCapability(arch);
_architecture = arch;
if (arch > eArchitecture.OpenCL)
{
CudafyTranslator.Language = eLanguage.OpenCL;
}
km = DoCudafy(null, types);
if (km == null)
{
throw new CudafyFatalException(CudafyFatalException.csUNEXPECTED_STATE_X, "CudafyModule km = null");
}
km.WorkingDirectory = WorkingDirectory;
if (compile && LanguageSpecifics.Language == eLanguage.Cuda)
{
if (platform == ePlatform.Auto)
{
platform = IntPtr.Size == 8 ? ePlatform.x64 : ePlatform.x86;
}
if (platform != ePlatform.x86)
{
km.CompilerOptionsList.Add(NvccCompilerOptions.Createx64(cudaVersion, arch));
}
if (platform != ePlatform.x64)
{
km.CompilerOptionsList.Add(NvccCompilerOptions.Createx86(cudaVersion, arch));
}
km.GenerateDebug = GenerateDebug;
km.TimeOut = TimeOut;
km.Compile(eGPUCompiler.CudaNvcc, DeleteTempFiles);
}
Type lastType = types.Last(t => t != null);
if (lastType != null)
{
km.Name = lastType.Name;
}
return(km);
}
public static IEnumerable <string> TestCUDASDK()
{
StringBuilder sb = new StringBuilder();
NvccCompilerOptions nvcc = null;
if (IntPtr.Size == 8)
{
nvcc = NvccCompilerOptions.Createx64();
}
else
{
nvcc = NvccCompilerOptions.Createx86();
}
yield return(string.Format("Platform={0}", nvcc.Platform));
yield return("Checking for CUDA SDK at " + nvcc.CompilerPath);
if (!nvcc.TryTest())
{
yield return("Could not locate CUDA Include directory.");
}
else
{
yield return(string.Format("CUDA SDK Version={0}", nvcc.Version));
yield return("Attempting to cudafy a kernel function.");
var mod = CudafyTranslator.Cudafy(nvcc.Platform, eArchitecture.sm_11, nvcc.Version, false, typeof(CUDACheck));
yield return("Successfully translated to CUDA C.");
yield return("Attempting to compile CUDA C code.");
string s = mod.Compile(eGPUCompiler.CudaNvcc, true);
yield return("Successfully compiled CUDA C into a module.");
if (CudafyHost.GetDeviceCount(eGPUType.Cuda) > 0)
{
yield return("Attempting to instantiate CUDA device object (GPGPU).");
var gpu = CudafyHost.GetDevice(eGPUType.Cuda, 0);
yield return("Successfully got CUDA device 0.");
yield return("Attempting to load module.");
gpu.LoadModule(mod);
yield return("Successfully loaded module.");
yield return("Attempting to transfer data to GPU.");
int[] a = new int[1024];
int[] b = new int[1024];
int[] c = new int[1024];
Random rand = new Random();
for (int i = 0; i < 1024; i++)
{
a[i] = rand.Next(16384);
b[i] = rand.Next(16384);
}
int[] dev_a = gpu.CopyToDevice(a);
int[] dev_b = gpu.CopyToDevice(b);
int[] dev_c = gpu.Allocate(c);
yield return("Successfully transferred data to GPU.");
yield return("Attempting to launch function on GPU.");
gpu.Launch(1, 1024).TestKernelFunction(dev_a, dev_b, dev_c);
yield return("Successfully launched function on GPU.");
yield return("Attempting to transfer results back from GPU.");
gpu.CopyFromDevice(dev_c, c);
yield return("Successfully transferred results from GPU.");
yield return("Testing results.");
int errors = 0;
for (int i = 0; i < 1024; i++)
{
if (a[i] + b[i] != c[i])
{
errors++;
}
}
if (errors == 0)
{
yield return("Successfully tested results.");
}
else
{
yield return("Test failed - results not as expected.");
}
yield return("Checking for math libraries (FFT, BLAS, SPARSE, RAND).");
var fft = GPGPUFFT.Create(gpu);
int version = fft.GetVersion();
if (version > 0)
{
yield return("Successfully detected.");
}
}
}
}
static void Main(string[] args)
{
try
{
if (args == null || args.Length == 0)
{
Console.WriteLine("--list for architecture targets");
Console.WriteLine("--print for some SDK/GPU info");
Console.WriteLine("--all to iterate over all target");
return;
}
if (args?.FirstOrDefault() == "--print")
{
NvccCompilerOptions nvcc;
if (IntPtr.Size == 8)
{
nvcc = NvccCompilerOptions.Createx64();
}
else
{
nvcc = NvccCompilerOptions.Createx86();
}
Console.WriteLine(string.Format("Platform={0}", nvcc.Platform));
Console.WriteLine("CUDA SDK at " + nvcc.CompilerPath);
Console.WriteLine("Test: " + nvcc.TryTest());
Console.WriteLine("Press anykey for cards...");
Console.ReadKey();
Console.WriteLine("Reading...");
foreach (var t in new eGPUType[] { eGPUType.Cuda, eGPUType.Emulator, eGPUType.OpenCL })
{
CudafyModes.Target = t;
printInfo();
}
return;
}
var ars = new eArchitecture[] {
eArchitecture.OpenCL,
eArchitecture.Emulator,
eArchitecture.sm_10,
eArchitecture.sm_11,
eArchitecture.sm_12,
eArchitecture.sm_13,
eArchitecture.sm_20,
eArchitecture.sm_21,
eArchitecture.sm_30,
eArchitecture.sm_35,
eArchitecture.sm_37,
eArchitecture.sm_50,
eArchitecture.sm_52,
eArchitecture.OpenCL11,
eArchitecture.OpenCL12
};
if (args?.FirstOrDefault() == "--list")
{
Console.WriteLine(string.Join(Environment.NewLine, ars.Select(a => a + ": " + (int)a)));
return;
}
if (args?.FirstOrDefault() != "--all")
{
ars = args.Select(ii => (eArchitecture)int.Parse(ii)).ToArray();
}
foreach (var a in ars)
{
try
{
Random rand = new Random(4);
Console.WriteLine("Benching " + a);
Console.WriteLine("Init: " + MeasureTime(() => RuneCalc.init(a, true, true)));
int[] num_runes = new int[] { 79, 103, 81, 93, 88, 90 };
int num_stats = 8;
RuneCalc.flat = new int[num_runes.Sum(), 8];
RuneCalc.mult = new int[num_runes.Sum(), 8];
Console.WriteLine("gen: " + MeasureTime(() =>
{
for (int slot = 0; slot < 6; slot++)
{
for (int rune = 0; rune < num_runes[slot]; rune++)
{
for (int s = 0; s < num_stats; s++)
{
if (s < 3)
{
RuneCalc.flat[rune, s] = rand.Next(0, 50);
RuneCalc.mult[rune, s] = rand.Next(0, 20);
}
else
{
RuneCalc.flat[rune, s] = rand.Next(0, 10);
RuneCalc.mult[rune, s] = 0;
}
}
}
}
RuneCalc.stat = new int[] { 3500, 530, 403, 101, 15, 50, 15, 0 };
}));
Console.WriteLine("seed: " + MeasureTime(() => RuneCalc.Seed()));
List <RunData> rd = new List <RunData>();
int reps = 10;
int num_builds = 2 << 23; // 2^31 / 32 (int) / 8 (2d size)
for (int i = 0; i < reps; i++)
{
Console.WriteLine("\rRun " + i);
Console.Write("Building data\r");
int[,] b = new int[num_builds, 6];
var d = MeasureTime(() =>
{
for (var j = 0; j < num_builds; j++)
{
int rn = 0;
for (int k = 0; k < 6; k++)
{
b[j, k] = rand.Next(rn, rn + num_runes[k]);
rn += num_runes[k];
}
}
});
var runData = RuneCalc.Execute(b);
runData.dataTime = d;
rd.Add(runData);
Console.CursorTop -= 1;
}
Console.WriteLine();
Console.WriteLine("Av Dat: " + rd.Average(qr => qr.dataTime));
Console.WriteLine("Av CPU: " + rd.Average(qr => qr.cpuTime));
Console.WriteLine("Av GPU: " + rd.Average(qr => qr.gpuTime));
Console.WriteLine("Av On: " + rd.Average(qr => qr.gpuOn));
Console.WriteLine("Av Off: " + rd.Average(qr => qr.gpuOff));
Console.WriteLine("Av SPD: " + 100 * (1 / (rd.Average(qr => qr.gpuTime) / rd.Average(qr => qr.cpuTime))));
Console.WriteLine("Av Ttl: " + 100 * (1 / ((rd.Average(qr => qr.gpuTime) + rd.Average(qr => qr.gpuOn) + rd.Average(qr => qr.gpuOff)) / rd.Average(qr => qr.cpuTime))));
Console.WriteLine("Av sse: " + rd.Average(qr => qr.sumSq));
Console.WriteLine();
}
catch (Exception e)
{
Console.WriteLine(e.GetType() + ": " + e.Message + Environment.NewLine + e.StackTrace);
}
}
}
finally
{
if (System.Diagnostics.Debugger.IsAttached)
{
Console.WriteLine("Press anykey to exit...");
Console.Read();
}
}
}
