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BS-Solve has been designed for the explicit cooperation and
parallelization of constraint solvers. It uses the BSP
(bulk-synchronous processing) paradigm of parallel programming:
computation alternates between p independent computations and global
operations, where p is the number of available processors. The
resulting system called BS-Solve is available as a library
called from KLIC programs and where existing sequential solvers can be
re-used.
The BSP realization of a set of concurrent-cooperating parallel
solvers uses the following correspondences.
- Resolution strategies are written as computation phases (or
supersteps) of
p independent sequential computations. Each one is driven by an
agent. An agent is either an existing solver or a program
issuing calls to the BS-Solve system.
- Cooperation strategies are written as so-called contractions
and expansions, alternating with computation phases. These
operations trigger all the communications and synchronizations in
global (bulk-synchronous) mode. In other words, no subset of the network
may communicate or synchronise without global synchronization.
The global communication event may not relate every node to
every other one. Any subset of the complete P x P communication
graph is allowed.
In this execution model, the parallel implementation of a solver is
simply the explicit cooperation of its agents. The model thus smoothly
integrates solver cooperation and parallelism.
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Up: Summary of the
AITEC-funded
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