Handling Mutually Exclusive variable in background processes
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I have two functions where I access a shared variable.
% Create a shared variable using parallel.pool.Constant
sharedVar = parallel.pool.Constant(@() 0); % Initialize shared variable to 0
% Function 1: Increment the shared variable
function incrementSharedVar(sharedVar)
sharedVar.Value = sharedVar.Value + 1; % Increment shared variable
end
% Function 2: Decrement the shared variable
function decrementSharedVar(sharedVar)
sharedVar.Value = sharedVar.Value - 1; % Decrement shared variable
end
I run these functions in background.
% Run the increment and decrement functions as background tasks
f1 = parfeval(@incrementSharedVar, 0,sharedVar);
f2 = parfeval(@decrementSharedVar, 0,sharedVar);
% Wait for both tasks to complete
wait([f1, f2]);
How to ensure the mutual exclusion among this shared variable so that one function waits while the other function updates the value?
采纳的回答
Sumukh
2024-11-7
1 个投票
To run the functions ”f1” and “f2” as background tasks, the term "backgroundPool" must be passed as the first argument to "parfeval". You can refer to the following documentation to know more about this syntax:
The provided code does not change the value of the Constant object "sharedVar" because the value of the Constant object is read-only and cannot be changed once initialized. More details about the Constant object can be found in the following documentation:
A possible method to provide gaps between execution of the “parfeval” functions “f1” and “f2“ is to use DataQueue object. The DataQueue object can be used to create a queue of function calls by calling “f1” and “f2” one after the other using the “afterEach” command. Kindly refer to the following documentation to know more about the DataQueue object and its function "afterEach":
I hope this answers your query.
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