Hi Alejandra,
the only way to reduce computation time would be to limit the distance
between events for which correlation is calculated. This may be tricky
considering location errors. It probably would be faster to work with
event files rather than continuous archive, but you may be doing that
already. If the data are locally on your SSD drive, there is not much
improvement possible on the reading speed. As corr was not really
developed for large data sets, you may also want to look at
alternatives. Sorry I don't have a better answer.
Best regards,
Lars
On 09.03.2023 07:41, Alejandra Martínez wrote:
Hi everyone!
I am using CORR to obtain a cross-correlation dataset for HypoDD
relocation purposes. I have some questions about it, and I hope
somebody can help me:
The catalog I want to use is quite large, with around 1000 seismic
events. When I ran CORR with 400 events it took almost a week to
finish the correlation. Is there a way to accelerate this process?
Regarding the configuration or even specifications/recommendations of
a more suitable computer to perform this process. I am working with an
AMD Ryzen 7 Radeon RX Vega 10, SSD 512GB, 8GB RAM.
I hope somebody can help me. Thanks in advance!
Alejandra
--
*Alejandra Martínez*
*Ingeniero Geofísico *
*+58 414 377 63 92
*
*Caracas, Venezuela*
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