Changes for version 0.07 - 2017-12-01

  • Use common::sense
  • Use DumpLex and PadWalker to include as much closing state as possible in serialized task code
  • Fix typo in AnyEvent::ProcessPool::Util::cpu_count and add android to linux case

Modules

Asynchronously runs code concurrently in a pool of perl processes
A simplified, straightforward way to parallelize tasks
Manages an individual worker process
A serializable work unit
A multi-process pool for Perl
The task executor code run in the worker process