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Parallella Community • View topic - Eigenvalue decomposition using parallel computing -epiphany

Eigenvalue decomposition using parallel computing -epiphany

Discussion about Parallella (and Epiphany) Software Development

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Eigenvalue decomposition using parallel computing -epiphany

Postby rajat_1397 » Mon May 22, 2017 7:01 am

Hi,
I would like some help with eigenvalue decomposition of a random matrix whose computation runs parallelly on 16 cores of the epiphany chip including the data transfers between the cores. I have already written a matlab code over a single core which includes few sub functions which have to be distributed over the 16 cores to be run parallelly keeping in mind the data transfer between the cores. I haven't used the eig() function since it takes more time to compute.
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Re: Eigenvalue decomposition using parallel computing -epiph

Postby sebraa » Mon May 22, 2017 1:27 pm

...what do you want to say?
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Re: Eigenvalue decomposition using parallel computing -epiph

Postby rajat_1397 » Tue May 23, 2017 5:06 am

I would like the zync processor to distribute the work among the 16 epiphany processors in computing the eigenvalue of a matrix
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Re: Eigenvalue decomposition using parallel computing -epiph

Postby sebraa » Tue May 23, 2017 7:25 am

Then just do it. We won't do your homework, so if you don't ask specific questions, you won't get any answers.
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Re: Eigenvalue decomposition using parallel computing -epiph

Postby nickoppen » Tue May 23, 2017 10:40 am

One of the standard examples that is probably already on your parallella is matrix multiplication. How about you start there.
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Re: Eigenvalue decomposition using parallel computing -epiph

Postby rajat_1397 » Fri May 26, 2017 4:19 am

Can you give me a sample code so I can understand as to how to access epiphany cores for computing. Thanks in advance!
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Re: Eigenvalue decomposition using parallel computing -epiph

Postby nickoppen » Fri May 26, 2017 11:10 am

It's all here:

Also, have a look on your parallella for a folder called /home/parallella/parallella-examples. Same stuff, just local.
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