SVD freezes in 2018a
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I have an ill-conditioned 1005x256 matrix and I can't compute its SVD in a reasonable amount of time. Other matrices of the same size don't present a challenge, but my user reports 20+ minute waiting times. I've created a gist on Github which defines it and tries to compute its rank. I stepped through with the debugger and found the problem child to be the call to svd. On a different machine running 2018a this script runs without incident in just under 2 seconds.
Here's some info:
>> version -blas
'Intel(R) Math Kernel Library Version 2017.0.31 Product Build 20170606 for Intel(R) 64 architecture applications, CNR branch unknown
'
>> ver
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MATLAB Version: 9.4.0.813654 (R2018a)
MATLAB License Number: xxxxxxxxxxxxxx
Operating System: Microsoft Windows 10 Pro Version 10.0 (Build 16299)
Java Version: Java 1.8.0_144-b01 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
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MATLAB Version 9.4 (R2018a)
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Aerospace Toolbox Version 2.21 (R2018a)
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2 个评论
采纳的回答
Christine Tobler
2019-6-12
This sounds like a bug. It shouldn't be due to memory issues, SVD uses the same amount of memory if the matrix size and the syntax are the same - I expect the iterative solver gets stuck somewhere for this specific matrix.
This seems to be machine-dependent, I couldn't reproduce it on my Windows machine. Could you give us some more information about the machine you are using (type of the CPU). In particular, it would be great to know if your CPU supports AVX-512 instructions.
7 个评论
Christine Tobler
2019-7-1
Thanks for letting me know. I'm afraid I'm not sure what to do about these issues with the i9 79** machines, but having more data about them is definitely good.
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