A Provably Sound TAL for Back-end Optimization

Typed assembly languages provide a way to generate machinecheckable safety proofs for machine-language programs. But the soundness proofs of most existing typed assembly languages are hand-written and cannot be machine-checked, which is worrisome for such large calculi. We have designed and implemented a low-level typed assembly language

(LTAL) with a semantic model and established its soundness from the model. Compared to existing typed assembly languages, LTAL is more scalable and more secure; it has no

macro instructions that hinder low-level optimizations such as instruction scheduling; its type constructors are expressive enough to capture data flow information, support the

compiler's choice of data representations and permit typed position-independent code; and its type-checking algorithm is completely syntax-directed.

We have built a prototype system, based on Standard ML of New Jersey, that compiles most of core ML to Sparc code. We explain how we were able to make the untyped back end in SML/NJ preserve types during instruction selection and register allocation, without restricting low-level optimizations and without knowledge of any type system pervading

the instruction selector and register allocator.

PDF file

In  ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 03)

Publisher  Association for Computing Machinery, Inc.
Copyright © 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or permissions@acm.org. The definitive version of this paper can be found at ACM’s Digital Library --http://www.acm.org/dl/.


> Publications > A Provably Sound TAL for Back-end Optimization