Performance Optimization in R: Parallel Computing and Rcpp

From: https://tutorial.guidotti.dev/pa78y/ The ‘parallel’ package Reference: https://bookdown.org/rdpeng/rprogdatascience/parallel-computation.html Many computations in R can be made faster by the use of parallel computation. Generally, parallel computation is the simultaneous execution of different pieces of a larger computation across multiple computing processors or cores. The parallel package can be used to send tasks (encoded as function calls) to each of the … Continue reading Performance Optimization in R: Parallel Computing and Rcpp

Faster Video Processing in Python using Parallel Computing

From: https://towardsdatascience.com/faster-video-processing-in-python-using-parallel-computing-25da1ad4a01 If you want to process a number of video files, it might take a from minutes to hours, depending on the size of the video, frame count, and frame dimensions. How can we speed up video processing? Parallel processing is the answer! If you are processing images in batches, you can utilize the … Continue reading Faster Video Processing in Python using Parallel Computing