Parallel Computing in R
Instruction: Discuss how to implement parallel computing in R to optimize performance for large-scale data analysis.
Context: This question assesses the candidate's ability to leverage parallel computing techniques in R to enhance performance and efficiency in data processing.
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Profile first and parallelize independent work only when expected savings exceed worker startup, serialization and communication costs. Budget memory for each worker and avoid oversubscribing CPUs or nested threaded libraries.
This base R example uses two local PSOCK workers and always stops them, including after an error:...