Abstract
ABSTRACT We present a high‐performance tool for the computation of ambient seismic noise correlations on central processing unit (CPU) and graphic processing unit (GPU) clusters. This is intended to address emerging challenges in noise correlation studies with increasingly large data volumes. We propose a parallelization scheme and strategies to efficiently harness modern supercomputing resources, and we demonstrate that the use of GPUs can accelerate the computation of noise correlations by one order of magnitude or more compared with a homogeneous implementation on CPUs. In addition to reducing wall‐clock time, our tool enables on‐the‐fly computations of large noise correlation datasets, thereby eliminating the need for mass storage to archive results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
