Explicit multi-threading in Matlab part 3
Matlab performance can be improved by employing POSIX threads in C/C++ code.
Matlab performance can be improved by employing POSIX threads in C/C++ code.
Matlab performance can be improved by employing .Net (C#, VB, F# or C++) threads.
Explicit multi-threading can be achieved in Matlab by a variety of simple means.
Simulink simulation run-time performance can be improved by orders of magnitude by following some simple steps.
Matlab does not provide a documented manner to serialize data into a byte stream, but we can do this with some undocumented functionality.
Private properties of Matlab class objects can be accessed (read and write) using some undocumented techniques.
Performance aspects of Matlab class object creation are discussed, with specific suggestions.
The built-in sprintfc function can be used to quickly generate a cell-array of formatted strings.
Handle object property access (get/set) performance can be significantly improved using dot-notation.
The clear function has some non-trivial effects on Matlab performance.