“'Found more than one basic block without predecessors.” with my alea/c# code, and I do not have any idea...












2















So I am trying to implement some code with Alea/C#. For the moment, it is basic code. I tried the tutorials and examples available at the Alea site. The examples work just fine, but when I do my own version of codes, namely, using a random walk with a dynamically defined amount of steps for each walk, it does not seem to work.



I set up an double array as follows and initialize it to 0:



 [GpuParam] public static double gaussian = {0};


I then use a gpumanaged method:



[GpuManaged]
private static void Random()
{
using (var rng = Generator.CreateGpu(Gpu.Default,RngType.PSEUDO_XORWOW))
{
rng.SetPseudoRandomGeneratorSeed(42);

rng.GenerateUniform(gaussian);
}
}


I then use the parallel for function which there is a plethora of examples on the alea website.



    [GpuManaged]
private static void Test()
{
var prices = new double[100];

Gpu.Default.For(0, 100,
i =>
{
Random();
prices[i] = gaussian[0];
});
}


However, when I run this, I get the error:



System.Exception: 'Found more than one basic block without predecessors.


Source location stack:



-> in C:Userstub08918sourcereposGpuMCOpticsGpuMCOpticsProgram.cs(45,21-45,30)
-> at GpuMCOptics.Program+<>c__DisplayClass6_0.[Void <Test>b__0(Int32)]
-> at Alea.Parallel.Device.DeviceFor.[Void Kernel(Int32, Int32, System.Action`1[System.Int32])]
-> at defining runtime64 (sm52,64bit)
Loading method as kernel:
-> Method: Alea.Parallel.Device.DeviceFor.[Void Kernel(Int32, Int32, System.Action`1[System.Int32])]
-> InstanceOpt: <None>
-> Argument.#0: 0
-> Argument.#1: 100
-> Argument.#2: System.Action`1[System.Int32]
Getting or loading method as kernel:
-> Method: Alea.Parallel.Device.DeviceFor.[Void Kernel(Int32, Int32, System.Action`1[System.Int32])]
-> InstanceOpt: <None>
-> Argument.#0: 0
-> Argument.#1: 100
-> Argument.#2: System.Action`1[System.Int32]


Any help on this would be helpful. I am very interested in using these gpu architectures but I have been working on solving this problem all day and I am getting more and more confused as I try different methods such as launching kernels and actions and using shared memory, but none of it works.










share|improve this question



























    2















    So I am trying to implement some code with Alea/C#. For the moment, it is basic code. I tried the tutorials and examples available at the Alea site. The examples work just fine, but when I do my own version of codes, namely, using a random walk with a dynamically defined amount of steps for each walk, it does not seem to work.



    I set up an double array as follows and initialize it to 0:



     [GpuParam] public static double gaussian = {0};


    I then use a gpumanaged method:



    [GpuManaged]
    private static void Random()
    {
    using (var rng = Generator.CreateGpu(Gpu.Default,RngType.PSEUDO_XORWOW))
    {
    rng.SetPseudoRandomGeneratorSeed(42);

    rng.GenerateUniform(gaussian);
    }
    }


    I then use the parallel for function which there is a plethora of examples on the alea website.



        [GpuManaged]
    private static void Test()
    {
    var prices = new double[100];

    Gpu.Default.For(0, 100,
    i =>
    {
    Random();
    prices[i] = gaussian[0];
    });
    }


    However, when I run this, I get the error:



    System.Exception: 'Found more than one basic block without predecessors.


    Source location stack:



    -> in C:Userstub08918sourcereposGpuMCOpticsGpuMCOpticsProgram.cs(45,21-45,30)
    -> at GpuMCOptics.Program+<>c__DisplayClass6_0.[Void <Test>b__0(Int32)]
    -> at Alea.Parallel.Device.DeviceFor.[Void Kernel(Int32, Int32, System.Action`1[System.Int32])]
    -> at defining runtime64 (sm52,64bit)
    Loading method as kernel:
    -> Method: Alea.Parallel.Device.DeviceFor.[Void Kernel(Int32, Int32, System.Action`1[System.Int32])]
    -> InstanceOpt: <None>
    -> Argument.#0: 0
    -> Argument.#1: 100
    -> Argument.#2: System.Action`1[System.Int32]
    Getting or loading method as kernel:
    -> Method: Alea.Parallel.Device.DeviceFor.[Void Kernel(Int32, Int32, System.Action`1[System.Int32])]
    -> InstanceOpt: <None>
    -> Argument.#0: 0
    -> Argument.#1: 100
    -> Argument.#2: System.Action`1[System.Int32]


    Any help on this would be helpful. I am very interested in using these gpu architectures but I have been working on solving this problem all day and I am getting more and more confused as I try different methods such as launching kernels and actions and using shared memory, but none of it works.










    share|improve this question

























      2












      2








      2


      2






      So I am trying to implement some code with Alea/C#. For the moment, it is basic code. I tried the tutorials and examples available at the Alea site. The examples work just fine, but when I do my own version of codes, namely, using a random walk with a dynamically defined amount of steps for each walk, it does not seem to work.



      I set up an double array as follows and initialize it to 0:



       [GpuParam] public static double gaussian = {0};


      I then use a gpumanaged method:



      [GpuManaged]
      private static void Random()
      {
      using (var rng = Generator.CreateGpu(Gpu.Default,RngType.PSEUDO_XORWOW))
      {
      rng.SetPseudoRandomGeneratorSeed(42);

      rng.GenerateUniform(gaussian);
      }
      }


      I then use the parallel for function which there is a plethora of examples on the alea website.



          [GpuManaged]
      private static void Test()
      {
      var prices = new double[100];

      Gpu.Default.For(0, 100,
      i =>
      {
      Random();
      prices[i] = gaussian[0];
      });
      }


      However, when I run this, I get the error:



      System.Exception: 'Found more than one basic block without predecessors.


      Source location stack:



      -> in C:Userstub08918sourcereposGpuMCOpticsGpuMCOpticsProgram.cs(45,21-45,30)
      -> at GpuMCOptics.Program+<>c__DisplayClass6_0.[Void <Test>b__0(Int32)]
      -> at Alea.Parallel.Device.DeviceFor.[Void Kernel(Int32, Int32, System.Action`1[System.Int32])]
      -> at defining runtime64 (sm52,64bit)
      Loading method as kernel:
      -> Method: Alea.Parallel.Device.DeviceFor.[Void Kernel(Int32, Int32, System.Action`1[System.Int32])]
      -> InstanceOpt: <None>
      -> Argument.#0: 0
      -> Argument.#1: 100
      -> Argument.#2: System.Action`1[System.Int32]
      Getting or loading method as kernel:
      -> Method: Alea.Parallel.Device.DeviceFor.[Void Kernel(Int32, Int32, System.Action`1[System.Int32])]
      -> InstanceOpt: <None>
      -> Argument.#0: 0
      -> Argument.#1: 100
      -> Argument.#2: System.Action`1[System.Int32]


      Any help on this would be helpful. I am very interested in using these gpu architectures but I have been working on solving this problem all day and I am getting more and more confused as I try different methods such as launching kernels and actions and using shared memory, but none of it works.










      share|improve this question














      So I am trying to implement some code with Alea/C#. For the moment, it is basic code. I tried the tutorials and examples available at the Alea site. The examples work just fine, but when I do my own version of codes, namely, using a random walk with a dynamically defined amount of steps for each walk, it does not seem to work.



      I set up an double array as follows and initialize it to 0:



       [GpuParam] public static double gaussian = {0};


      I then use a gpumanaged method:



      [GpuManaged]
      private static void Random()
      {
      using (var rng = Generator.CreateGpu(Gpu.Default,RngType.PSEUDO_XORWOW))
      {
      rng.SetPseudoRandomGeneratorSeed(42);

      rng.GenerateUniform(gaussian);
      }
      }


      I then use the parallel for function which there is a plethora of examples on the alea website.



          [GpuManaged]
      private static void Test()
      {
      var prices = new double[100];

      Gpu.Default.For(0, 100,
      i =>
      {
      Random();
      prices[i] = gaussian[0];
      });
      }


      However, when I run this, I get the error:



      System.Exception: 'Found more than one basic block without predecessors.


      Source location stack:



      -> in C:Userstub08918sourcereposGpuMCOpticsGpuMCOpticsProgram.cs(45,21-45,30)
      -> at GpuMCOptics.Program+<>c__DisplayClass6_0.[Void <Test>b__0(Int32)]
      -> at Alea.Parallel.Device.DeviceFor.[Void Kernel(Int32, Int32, System.Action`1[System.Int32])]
      -> at defining runtime64 (sm52,64bit)
      Loading method as kernel:
      -> Method: Alea.Parallel.Device.DeviceFor.[Void Kernel(Int32, Int32, System.Action`1[System.Int32])]
      -> InstanceOpt: <None>
      -> Argument.#0: 0
      -> Argument.#1: 100
      -> Argument.#2: System.Action`1[System.Int32]
      Getting or loading method as kernel:
      -> Method: Alea.Parallel.Device.DeviceFor.[Void Kernel(Int32, Int32, System.Action`1[System.Int32])]
      -> InstanceOpt: <None>
      -> Argument.#0: 0
      -> Argument.#1: 100
      -> Argument.#2: System.Action`1[System.Int32]


      Any help on this would be helpful. I am very interested in using these gpu architectures but I have been working on solving this problem all day and I am getting more and more confused as I try different methods such as launching kernels and actions and using shared memory, but none of it works.







      aleagpu






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      asked Nov 25 '18 at 4:02









      woofwoofwoofwoof

      778




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