Cluster of Raspberry Pi devices for Parallel and Distributed Computing
Introduction The increasing significance of big data analysis is evident in various scientific and engineering fields. Handling vast datasets often leads to slow execution times for computationally demanding algorithms, such as the 3-D Fourier transform or 3-D prestack migration in geophysics (Yilmaz, 2001). Furthermore, challenges arise when datasets surpass the available random access memory (RAM) …
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