"Error using zeros" maximum variable size allowed by the program is exceeded
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I was trying to generate a 2^57 x 57 zeros matrix and error occurred. I tried with sparse and the error still persist. Is there anywhere can I generate the matrix efficiently.
Please help. I am student, still exploring how to work with MATLAB. Thank you.
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Steven Lord
2016-6-23
If you wanted to create that matrix as a logical array, it would require:
numElements = (2^57)*57;
exabytes = numElements/(1000^6)
exabytes =
8.21456572032379
"Therefore, one exabyte could hold a hundred thousand times the printed material, or 500 to 3000 times all content of the Library of Congress."
To process all possible subsets of a set with 57 elements (which is what I assume you're trying to do, based on the dimensions of the matrix you're trying to create) would require quite a bit of time.
numCombinations = 2^57;
processingTime = years(seconds(numCombinations))
processingTime =
4.5668e+09
You probably want to rethink your approach, unless perhaps you have a VERY large cluster of machines available.
更多回答(3 个)
James Tursa
2016-6-23
编辑:James Tursa
2016-6-23
A matrix of size 2^57 x 57 doubles would take about 6.57e19 bytes of memory ... way way more than your computer has available. So no, there is no way to generate this matrix on your computer. Even a sparse matrix of this size would take too much memory just to store the index data.
Walter Roberson
2016-6-23
A full array for that would require a virtual memory space more than 3 1/2 times larger than can be addressed with 64 bit memory. I don't think you are going to be able to create something that big. You might not be able to create anything that requires more than 2^48 bytes as all current implementations of the x64 architecture only have at most 48 address pins.
Najme Behdad
2017-1-2
编辑:Najme Behdad
2017-1-2
A question comes to me, Is there a way processing for binary large scale matrix in MATLAB 2 ^ 40. Was this possibility added in MATLAB 2016? please help me
10 个评论
Walter Roberson
2017-1-3
Do you mean you have a vector of 40 values and you are trying to find a subset of the values that totals exactly 1.0 ? If so, then you have to be very careful about round-off in your calculations.
Finding a subset of values with a particular total is known as the Knapsack problem.
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