Managed code (C#) vs Matlabs and C++ for speed

Managed code (C#) vs Matlabs and C++ for speed

By : Samster82
Date : November 21 2020, 07:01 PM
help you fix your problem Unamanged code can be faster for some things, but whether it will make a difference in your case is impossible to say without testing it. You could try coding a small, but representative, subset of the problem in both C# and C++ to measure the difference. Of course, making it "representative" (in terms of performance characteristics) is the challenge.
code :

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How do I call managed .NET code from my un-managed C++ code in Windows and vice versa?

How do I call managed .NET code from my un-managed C++ code in Windows and vice versa?

By : Iven Mo
Date : March 29 2020, 07:55 AM
hope this fix your issue To call into managed code from unmanaged C++, use ClrCreateManagedInstance, or export your types in your managed assembly as COM visible, and use COM. To call into unmanaged code from managed, use COM or P/Invoke.
Calling a native callback from managed .NET code (when loading the managed code using COM)

Calling a native callback from managed .NET code (when loading the managed code using COM)

By : user2023007
Date : March 29 2020, 07:55 AM
may help you . You'll probably want to use Marshal.GetDelegateForFunctionPointer:
Create a delegate type that matches the signature of the native function, keeping in mind the right way to marshal types and using MarshalAs as needed Communicate the native function pointer from your native code to your C# code however you can (in your case, it looks like you can use your COM -> C# connection) Use Marshal.GetDelegateForFunctionPointer to turn the pointer into a C#-callable delegate Invoke the delegate with your parameters
Best way to call 32-bit unmanaged code from 64-bit Managed Code using a managed code wrapper

Best way to call 32-bit unmanaged code from 64-bit Managed Code using a managed code wrapper

By : patna
Date : March 29 2020, 07:55 AM
With these it helps I had the same problem and my solution was to use remoting. Basically the project consisted of:
Platform-independent CalculatorRemote.dll library with CalculatorNative internal static class with x32 P/Invoke methods RemoteCalculator class derived from MarshalByRefObject which used native methods from CalculatorNative; Main platform-independent C# library (e.g. Calculator.dll), referencing CalculatorRemote.dll, with Calculator class which was privately using singleton of the RemoteCalculator class to invoke x32 functions where needed; x32 console application which hosted RemoteCalculator from CalculatorRemote.dll to consume by Calculator.dll via IpcChannel.
Python equivalent code to MATLABs vec2mat

Python equivalent code to MATLABs vec2mat

By : torpedoPM
Date : March 29 2020, 07:55 AM
around this issue I have a piece of code which I am converting from MATLAB to python. It is not yet written in a very pythonic way, but I will adapt it at a later stage. , You can use the resize() method of an numpy.ndarray object:
code :
import numpy as np

a = np.array([1,2,3])
print a
#array([[1, 2, 3],
#       [0, 0, 0]])
atb_mat = atbvec.copy()
atb_mat.resize(dim, nb)
atb_mat = numpy.resize(atbvec, (dim, nb))
a = np.array([1,2,3])
b = np.resize(a, (3, 4))
#array([[1, 2, 3, 1],
#       [2, 3, 1, 2],
#       [3, 1, 2, 3]])
Passing managed reference (this) to unmanaged code and call managed callback

Passing managed reference (this) to unmanaged code and call managed callback

By : shakesVan
Date : March 29 2020, 07:55 AM
To fix this issue The gcroot<> C++ class is a wrapper that uses the GCHandle class. The constructor calls GCHandle.ToIntPtr() to turn the handle into an opaque pointer, one that you can safely store as a member of an unmanaged struct or C++ class.
The cast then, later, converts that raw pointer back to the handle with the GCHandle.FromIntPtr() method. The GCHandle.Target property gives you the managed object reference back.
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