An APL Compiler by Timothy Budd PDF

By Timothy Budd

Presents the result of an research into the problems raised by way of the advance of a compiler for APL, a really excessive point desktop programming language. APL offers a few novel difficulties for a compiler author: susceptible variable typing, run time alterations in variable form, and a number of primitive operations. during the integration of numerous lately constructed compiler development options, akin to facts move research, and a singular and area effective call for pushed or lazy overview method of code iteration, the writer has been capable of produce a real compiler for the language whereas nonetheless holding the felxibility and straightforwardness which are the hallmarks of APL.

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3. Code Generation Overview 37 (reply from scalar plus to reduction) My result is a real array of rank 2, shape 6 7. The reduction automaton checks that the plus operation is legal for arguments of this type and computes the type and size of the result it will produce. (reply from reduction to assignment) My result is a real vector of size 6. The assignment node finally knows how large the storage area must be to accommodate the result. It allocates this area and then starts to fill it in. It does this by requesting values one at a time: (message from assignment to reduction) Give me the first value in the ravel ordering of your result.

Not particularly flashy, nevertheless they do most of the real work in producing results. If the types of, the arguments are known, many of the scalar functions can be implemented directly by operations in the target language. ) If it is possible, lazy code generation is 52 An APL Compiler used, and an expression tree is produced, rather than actual code. The sample output described in Appendix 2 shows a good example of a scalar function being combined with other functions in the final code. If the types of arguments are not known, or the operations are too complex, code is generated that will, at run time, call upon a subroutine to compute the result.

If the types of, the arguments are known, many of the scalar functions can be implemented directly by operations in the target language. ) If it is possible, lazy code generation is 52 An APL Compiler used, and an expression tree is produced, rather than actual code. The sample output described in Appendix 2 shows a good example of a scalar function being combined with other functions in the final code. If the types of arguments are not known, or the operations are too complex, code is generated that will, at run time, call upon a subroutine to compute the result.

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