MATLAB Parallel Parfor 内存使用情况询问
我是新来这里提问的，尽管我之前已经在这里找到了许多问题的解决方案。
这个特殊问题我似乎找不到答案，所以我想我会加入并询问。
我正在使用并行计算工具箱一次运行多个模拟，我正在开发的代码将部署在单个核心上，因此不需要将算法转换为并行。
每个模拟创建的数据结构都很大，同时运行 8 个模拟会使用我机器中的所有可用 RAM (4GB)。
我目前正在考虑减少每个模拟使用的内存，并且想知道是否有人知道如何从函数的每个实例获取内存使用信息。
到目前为止，我一直在调用：
parfor i=1:8
[IR(:, i) Data(i)] = feval(F, NX, NY(i), SR, NS, i);
end
在函数 F 内部，
[usr, sys] = memory;
format short eng;
TEST.Mem = usr.MemUsedMATLAB;
但这可以理解的是返回 F 的所有 8 个实例正在使用的内存。
我想从 F 的每个实例获取信息。
注意：数据结构 TEST 作为 Data 返回到顶层函数。
预先感谢您的任何帮助。
I am new here for asking questions though I have found solutions to many problems here before.
This particular problem I cannot seem to find an answer for so I though I would join up and ask.
I am using the Parallel computing toolbox to run multiple simulations at once, the code I am developing is to be deployed on a single core so there is no need for converting the algorithm to parallel.
The data structures being created by each of the simulations are large, and running 8 simulations at once is using all of the available RAM in my machine (4GB).
I am currently looking at reducing the memory used by each simulation, and was wondering if anybody knew how to get memory usage info from each of the instances of the function.
So far I have been calling:
parfor i=1:8
[IR(:, i) Data(i)] = feval(F, NX, NY(i), SR, NS, i);
end
And inside function F
[usr, sys] = memory;
format short eng;
TEST.Mem = usr.MemUsedMATLAB;
But this understandably is returning the memory being used by all 8 instances of F.
I would like to get the information from each instance of F.
Note: The data structure TEST is returned as Data to the top level function.
Thanks in advance for any help.
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您可以使用 matlab profiler 来获取内存使用情况的提示：
you can use the matlab profiler to get a hint at the memory usage: