By Timothy Budd
Presents the result of an research into the problems raised by means of the advance of a compiler for APL, a really excessive point laptop programming language. APL offers a few novel difficulties for a compiler author: vulnerable variable typing, run time alterations in variable form, and a bunch of primitive operations. in the course of the integration of numerous lately built compiler building strategies, comparable to info movement research, and a unique and house 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 retaining the felxibility and straightforwardness which are the hallmarks of APL.
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Additional info for An APL Compiler
Consider the scan function, for example. A single scan requires, in general, O( n 2) evaluations of the sub expression being scanned, where n represents the number of elements in the subexpression. By itself this causes no problem, nor is there, in general, a more efficient approach [although in some cases commutative functions will permit an O(n) technique]. Consider, however, the composition of two scan functions. In this case, following the space efficient technique would produce an O( n4 ) algorithm.
Code Generation Overview 43 100 1 1 0 110 1 o1 o0 1 0 101 1 If one of the values in the array is neither a 0 nor a 1 but instead an integer value, the spacing of the entire output is adjusted accordingly: 1 0 o 1 1 1437 o 0 1 0 o 1 1 o 1 1 o o 1 1 To do this requires that the system save the entire array of values to be output in a temporary location, and compute the maximum size of any element prior to printing the first value. In keeping with our space efficient philosophy, we have decided instead to print values as they are computed, with no buffering.
An arbitrary linear ordering can be imposed, or some analysis performed, to produce an ordering that reduces the number of "backward" branches. Once again, the two-level scoping system of the APL compiler simplifies the task of dataflow analysis. Since local variables are not a concern at this point, all identifiers are global and of the same scoping level. Connected with each node an identifier attribute list will record information on all global variables and functions. In place of performing expression dataflow analysis in step 1, intraprocedural dataflow analysis on an entire function is used.
An APL Compiler by Timothy Budd