By Van Roy P.
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Additional info for 1983-1993.The wonder years of sequential Prolog implementation
The sequence of goals to be executed if the body completes successfully. This representation has two advantages. First, no environments are needed. Second, the continuations are represented at the source level. For example, the clauses: p(X, X). p(A, B) :- q(A, C), r(C, D), s(D, B). are transformed into: p(X, X, Cont) :- call(Cont). p(A, B, Cont) :- q(A, C, r(C, D, s(D, B, Cont))). Each predicate is given an additional argument and each clause is converted into a binary clause. With a well-chosen data representation, the binary clause transformation can be the basis of a system that uses very little memory yet compiles and executes very quickly.
The effect of the Aquarius and Parma analyzers on speed and code size is shown in Table 3. The “Small” column refers to a standard set of small benchmarks (between 10 and 100 lines). The “Medium” column refers to a standard set of medium-size benchmarks (between 100 and 1000 lines). These benchmarks are well-known in the Prolog programming community . They do tasks for which Prolog is well-suited and are written in a good programming style. The numbers are taken from [140, 152, 153]. The numbers can be significantly improved by tuning the programs to take advantage of the analyzers.
Originally, SICStus was an emulated system written in C. MC680X0 and SPARC native code versions were developed in 1988 and 1991. 1, has been available since late 1991. SICStus is the first system to do path compression (“variable shunting”) of dereference chains during garbage collection . The parts of a dereference chain in the same choice point segment are removed. This lets the garbage collector recover more memory. This is essential for Prologs that have freeze or similar coroutining programming constructs , since the intermediate variables in a dereference chain may contain large frozen goals that can be recovered.
1983-1993.The wonder years of sequential Prolog implementation by Van Roy P.