Efficient parallel execution of prolog programs
Enrico Pontelli, Gopal Gupta
Abstract
Enrico Pontelli, Gopal Gupta
Abstract
The problem tackled in this dissertation is the design and development of efficient execution mechanisms to support parallel logic programming. Through a rational analysis of the various forms of parallelism present in logic programming, we achieve a clear understanding of the issues involved in supporting automatic exploitation of parallelism. This in turn allows us to (i) classify and compare existing proposals in this area; and (ii) propose new models, arguably superior than the existing ones. In this dissertation we propose (i) a novel execution model for independent and-parallelism, capable of supporting efficient memory usage and complete backtracking; (ii) a complete system to support dependent and-parallelism, from automatic compile-time detection of parallelism to its actual run-time exploitation; (iii) an execution model for combined and/or-parallelism; (iv) a set of optimization principles for non-deterministic parallel systems; (v) theoretical results on the complexity of the various forms of parallelism. Each of the models presented has been implemented and successfully tested on a variety of real-life benchmarks.
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The problem tackled in this dissertation is the design and development of efficient execution mechanisms to support parallel logic programming. Through a rational analysis of the various forms of parallelism present in logic programming, we achieve a clear understanding of the issues involved in supporting automatic exploitation of parallelism. This in turn allows us to (i) classify and compare existing proposals in this area; and (ii) propose new models, arguably superior than the existing ones. In this dissertation we propose (i) a novel execution model for independent and-parallelism, capable of supporting efficient memory usage and complete backtracking; (ii) a complete system to support dependent and-parallelism, from automatic compile-time detection of parallelism to its actual run-time exploitation; (iii) an execution model for combined and/or-parallelism; (iv) a set of optimization principles for non-deterministic parallel systems; (v) theoretical results on the complexity of the various forms of parallelism. Each of the models presented has been implemented and successfully tested on a variety of real-life benchmarks.
Key concepts: Computer science, Backtracking, Parallelism (grammar), Data parallelism, Prolog, Implicit parallelism, Instruction-level parallelism, Programming language