You can watch the archived version of this webinar at (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.
Open Live Script. The file, durer.mat, contains. If you do not specify an output for the load function, MATLAB creates a variable named after the loaded file (minus any file extension). For example, the command. Load mydata.dat reads data into a variable called mydata. To create the variable name, load precedes any leading underscores.
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). I met same problem as follows:??? Error using urlwrite at 140 Error downloading URL. Your network connection may be down or your proxy settings improperly configured.
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Error in setup at 61 urlwrite('); I modified program as what you indicated as: change the adress of the FTP site in line 61 urlwrite to: ' The program accepted changes and new problem I met is: Error using gunzipgunzipwrite (line 184) File 'shots00010200.segy.gz' is not in GZIP format. So, please tell me which gzip function I should use in gunzip(f(5:11,end));? Thank you very much.