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Large Data in MATLAB: A Seismic Data Processing Case Study

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Large Data in MATLAB: A Seismic Data Processing Case Study

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These are the files used in the webinar on Feb. 23, 2011.

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Description

You can watch the archived version of this webinar at http://www.mathworks.com/company/events/webinars/wbnr53777.html (recommended).

The demos show how to manage out of memory data using a memory mapped file and customizing the object for array indexing. This enables reuse of the memory mapped file inside functions or with parallel computing without needing to rewrite code or recreate the memory mapped file on each worker manually.

The data files are not inlcluded in this download. Read the README file to locate the public data sources on the internet.

The demo also shows how to speed up the solution of the wave equation (finite difference PDE) using a custom CUDA kernel. The relative speedup observed was around 1.6X.

The demos start with:
1 - and introduction to seismic analysis (Kirchhoff migration, reverse time migration)

2 - Large data extension of the functionality shown in (1) and parallel computing for speeding up the processing time

3 - GPU extension to (1) showing how to use a custom CUDA kernel to solve the wave equation compared to a MATLAB implementation (written in vectorized form)

Required Products Parallel Computing Toolbox
MATLAB release MATLAB 7.11 (R2010b)
Other requirements To run the GPU code, you will need compatible GPU. See http://www.mathworks.com/discovery/matlab-gpu.html
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Comments and Ratings (7)
10 Oct 2013 BOUSSOUF  
06 Nov 2012 Sadegh Karimpouli

Great work Luis!
I got a problem whit my data when I used "parfor" in Linux! I got "Out of memory" error, even with a 4Gb RAM and 6Gb swap memory!

25 May 2012 Jonathan

Very nice of Matlab to put out a complete suite of programs for seismic data processing!! Thanks!

04 Jul 2011 salamay

build.m under /gpu fails as dat4gpu.mat cant be found.

The current version does not contain this dat file.

Please update.

27 May 2011 Luis Lopez

William, change the adress of the FTP site in line 61 urlwrite to:
'ftp://software.seg.org/pub/datasets/2D/2004_BP_Vel_Benchmark/'

This should solve the issue.

16 May 2011 William

setup.m fails with the following errors:

??? Error using ==> urlwrite at 140
Error downloading URL. Your network connection may be down or your proxy settings improperly
configured.

Error in ==> setup at 61
urlwrite(['ftp://seismic.seg.org/pub/datasets/2D/2004_BP_Vel_Benchmark/',f{i}],f{i});

>>

This is using MATLAB 7.12.0 (R2011a).

28 Apr 2011 Todd Schultz

Excellent work! This is a great example of some of the options available to handle large data sets in MATLAB.

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