Package Info


A generic implementation of dynamic partial-order reduction (DPOR) for testing arbitrary models of concurrency


We can characterise the state of a concurrent computation by considering the ordering of dependent events. This is a partial order: independent events can be performed in any order without affecting the result. DPOR is a technique for computing these partial orders at run-time, and only testing one total order for each partial order. This cuts down the amount of work to be done significantly. In particular, this package implemented bounded partial-order reduction, which is a further optimisation. Only schedules within some bound are considered.

  • DPOR with no schedule bounding is complete, it /will/ find all distinct


  • DPOR with schedule bounding is incomplete, it will only find all distinct

executions /within the bound/!

Caution: The fundamental assumption behind DPOR is that the only source of nondeterminism in your program is the scheduler. Or, to put it another way, if you execute the same program with the same schedule twice, you get the same result. If you are using this library in combination with something which performs I/O, be very certain that this is the case!

See the < README> for more details.

For details on the algorithm, albeit presented in a very imperative way, see /Bounded partial-order reduction/, K. Coons, M. Musuvathi, and K. McKinley (2013), available at <>.

License: MIT



Package Version Update ID Released Package Hub Version Platforms Subpackages info GA Release 2018-08-01 15
  • AArch64
  • ghc-dpor
  • ghc-dpor-devel info GA Release 2018-07-31 15
  • ppc64le
  • ghc-dpor
  • ghc-dpor-devel info GA Release 2018-07-30 15
  • x86-64
  • ghc-dpor
  • ghc-dpor-devel