State Space Reduction, Compression and Hashing Sample Clauses

State Space Reduction, Compression and Hashing. Driven by a case study from the space sector (a protocol modeled by SSF), where memory consumption was an issue, we have investigated ways to reduce ProB's memory consumption. A first step was to implement a first version of state compression, whereby we simplify stored states so that they require less memory. This was achieved without compromising speed and is now always activated. Furthermore, if the preference COMPRESSION is set to true, then ProB will also detect common (sub-)expressions in states and store the common expressions only once. For example, when several states have the same same value for a given variable x then its value will only be stored just once. This is particularly useful when complicated variables only change infrequently. Related to this aspect, the hashing of ProB states was improved on 64-bit architectures, which is also important in the context of detecting common subexpressions for sharing (common subexpressions are detected by hashing). We have also implemented a cryptographic SHA1 hashing function for Prolog terms, but it is not yet used in the production version of ProB. Finally, the most useful symmetry reduction technique of ProB is the so-called "hash marker" method. Here, we have also improved the computation of the hash symmetry markers, both achieving a reduction in size and runtime.
Sample 1
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