Parallel Computing# Decorate interface for parallel computation Fork Parallel ParallelFunction fork() normalize_input() parallel() Reference Parallel Primitives parallel_iter() Parallel iterator built using the fork() system call WorkerData p_iter_fork Parallel computations using RecursivelyEnumeratedSet and Map-Reduce Contents How is this different from usual MapReduce? How can I use all that stuff? Advanced use Profiling Logging How does it work ? How thefts are performed The end of the computation Are there examples of classes? Tests Classes and methods Parallel Iterator built using Python’s multiprocessing module parallel_iter() pyprocessing() Parallelization control Parallelism CPU Detection ncpus() See also sage.interfaces.psage Indices and Tables# Index Module Index Search Page