Download e-book for iPad: An APL Compiler by Timothy Budd

By Timothy Budd

ISBN-10: 0387966439

ISBN-13: 9780387966434

ISBN-10: 1461238064

ISBN-13: 9781461238065

Presents the result of an research into the problems raised via the advance of a compiler for APL, a truly excessive point machine programming language. APL offers a couple of novel difficulties for a compiler author: susceptible variable typing, run time alterations in variable form, and a bunch of primitive operations. during the integration of a number of lately constructed compiler development thoughts, corresponding to information circulation research, and a singular and area effective call for pushed or lazy assessment method of code iteration, the writer has been capable of produce a real compiler for the language whereas nonetheless holding the felxibility and simplicity which are the hallmarks of APL.

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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.

Simple Space Efficient Functions 55 Value Phase if (of fsetright > (size of right argument)) then begin { compute left argument at position of fsetZeft } of fsetleft = of fsetZeft +1 of fsetright = 0 end { compute right argument at position of fsetright } of fsetright = of fsetright + 1 { code to compute scalar function result} This code not only buffers the left argument, producing a new element only when required, but it also has eliminated both the division and the modular division previously required to compute the right and left offsets.

Less obvious, but just as critical, is the objective of reducing space. Many APL expressions compute a result by first constructing a large intermediate quantity, such as a multidimensional array, and then compressing this value by reduction, compression, or subscription. Thus, even in cases in which neither the inputs nor the outputs of an expression are large, the intermediate values can be substantial. Most APL programmers have had the frustrating experience of writing routines that work while they are testing them on small values, but fail for lack of space as soon as they try them on the larger values they are really interested in.

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An APL Compiler by Timothy Budd

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