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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nour, M. Hegazi, N. |
| Copyright Year | 1995 |
| Description | Author affiliation: Electron. Res. Inst., Cairo, Egypt (Nour, M.; Hegazi, N.) |
| Abstract | To achieve efficient and good performance of logic programs a proposed parallel execution model based on MUSE which was implemented by SICS of Sweden has been developed and implemented. This model is an amalgamation of two main types of parallelism AND-parallelism and OR-parallelism. The implementation of this model is done on a shared memory multiprocessor. Due to this model the logic program can be described by an AND/OR tree. The different branches of this tree are distributed to the available processing elements (PEs) during run time. Two scheduling techniques have been developed and implemented. In the first scheduler. The PEs are distributed through the AND/OR tree based on the sequential PROLOG (i.e. left-right depth first). The second scheduler is based on the static processing element allocation. Two benchmark programs have been used to assess the performance of this execution model; these are the natural language processing parser and an animal recognition expert system.< |
| Starting Page | 48 |
| Ending Page | 53 |
| File Size | 516253 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818670878 |
| DOI | 10.1109/ISADS.1995.398954 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-04-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Logic Silicon carbide Natural language processing Animals Expert systems |
| Content Type | Text |
| Resource Type | Article |
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