We present practical approximation methods for computing interprocedural aliases and side effects for a program written in a language that includes pointers, reference parameters and recursion. We present the following results: 1) An algorithm for flow-sensitive interprocedural alias analysis which is more precise and efficient than the best interprocedural method known. 2) An extension of traditional flow-insensitive alias analysis which accommodates pointers and provides a framework for a family of algorithms which trade off precision for efficiency. 3) An algorithm which correctly computes side effects in the presence of pointers. Pointers cannot be correctly handled by conventional methods for side effect analysis. 4) An alias naming technique which handles dynamically allocated objects and guarantees the correctness of data-flow analysis. 5) A compact representation based on transitive reduction which does not result in a loss of precision and improves precision in some cases. 6)...

We present a bit-vector algorithm for the optimal and economical placement of computations within flow graphs, which is as efficient as standard uni-directional analyses. The point of our algorithm is the decomposition of the bi-directional structure of the known placement algorithms into a sequence of a backward and a forward analysis, which directly implies the efficiency result. Moreover, the new compositional structure opens the algorithm for modification: two further uni-directional analysis components exclude any unnecessary code motion. This laziness of our algorithm minimizes the register pressure, which has drastic effects on the run-time behaviour of the optimized programs in practice, where an economical use of registers is essential. Topics: data flow analysis, program optimization, partial redundancy elimination, code motion, bit-vector data flow analyses. 1 Motivation Code motion is a technique to improve the efficiency of a program by avoiding unnecessary recomputati...

An implementation oriented algorithm for lazy code motion is presented that minimizes the number of computations in programs while suppressing any unnecessary code motion in order to avoid superfluous register pressure. In particular, this variant of the original algorithm for lazy code motion works on flowgraphs whose nodes are basic blocks rather than single statements, as this format is standard in optimizing compilers. The theoretical foundations of the modified algorithm are given in the first part, where t-refined flowgraphs are introduced for simplifying the treatment of flowgraphs whose nodes are basic blocks. The second part presents the `basic block' algorithm in standard notation, and gives directions for its implementation in standard compiler environments. Keywords Elimination of partial redundancies, code motion, data flow analysis (bit-vector, unidirectional, bidirectional), nondeterministic flowgraphs, t-refined flow graphs, critical edges, lifetimes of registers, com...

We consider the following problem: given a labelled directed graph G and a regular expression R, find all pairs of nodes connected by a simple path such that the concatenation of the labels along the path satisfies R. The problem is motivated by the observation that many recursive queries in relational databases can be expressed in this form, and by the implementation of a query language, G+ , based on this observation. We show that the problem is in general intractable, but present an algorithm than runs in polynomial time in the size of the graph when the regular expression and the graph are free of conflicts. We also present a class of languages whose expressions can always be evaluated in time polynomial in the size of both the graph and the expression, and characterize syntactically the expressions for such languages. Key words. Labelled directed graphs, NP-completeness, polynomial-time algorithms, regular expressions, simple paths AMS(MOS) subject classifications. 68P, 6...

This paper presents Sharlit, a tool to support the construction of modular and extensible global optimizers. We will show how Sharlit helps in constructing data-flow analyzers and the transformations that use data-flow analysis information: both are major components of any optimizer.

A unified model of a family of data flow algorithms, called elimination methods, is presented. The algorithms, which gather information about the definition and use of data in a program or a set of programs, are characterized by the manner in which they solve the systems of equations that describe data flow problems of interest. The unified model

The cosmos simulator provides fast and accurate switch-level modeling of mos digital circuits. It attains high performance by preprocessing the transistor network into a functionally equivalent Boolean representation. This description, produced by the symbolic analyzer anamos, captures all aspects of switch-level networks including bidirectional transistors, stored charge, different signal strengths, and indeterminate (X) logic values. The lgcc program translates the Boolean representation into a set of machine language evaluation procedures and initialized data structures. These procedures and data structures are compiled along with code implementing the simulation kernel and user interface to produce the simulation program. The simulation program runs an order of magnitude faster than our previous simulator mossim ii.

Conventional dataflow analysis computes information about what facts may or will not hold during the execution of a program. Sometimes it is useful, for program optimization, to know how often or with what probability a fact holds true during program execution. In this paper, we provide a precise formulation of this problem for a large class of dataflow problems --- the class of finite bi-distributive subset problems. We show how it can be reduced to a generalization of the standard dataflow analysis problem, one that requires a sum-over-all-paths quantity instead of the usual meet-overall -paths quantity. We show that Kildall's result expressing the meet-over-all-paths value as a maximal-fixed-point carries over to the generalized setting. We then outline ways to adapt the standard dataflow analysis algorithms to solve this generalized problem, both in the intraprocedural and the interprocedural case. 1 Introduction Conventional dataflow analysis computes information about what facts...

Understanding synchronization is important for a parallel programming tool that uses dependence analysis as the basis for advising programmers on the correctness of parallel constructs. This paper discusses static analysis methods that can be applied to parallel programs with event variable synchronization. The objective is to be able to predict potential data races in a parallel program. The focus is on how dependences and synchronization statements inside loops can be used to analyze complete programs with parallel loop and parallel case style parallelism. 1 Introduction Parallel programming is an intellectually demanding task. One of the most difficult challenges in the development of parallel programs for asynchronous sharedmemory systems is avoiding errors caused by inadvertent data sharing, often referred to as data races, which can lead to unpredictable results. These races correspond to data dependences [AK87, Wol82], where a data dependence links a pair of accesses to the sam...

We present a simple method for normalizing the control-flow of programs to facilitate program transformations, program analysis, and automatic parallelization. While previous methods result in programs whose control flowgraphs are reducible, programs normalized by this technique satisfy a stronger condition than reducibility and are therefore simpler in their syntax and structure than with previous methods. In particular, all control-flow cycles are normalized into single-entry, single-exit while loops, and all goto's are eliminated. Furthermore, the method avoids problems of code replication that are characteristic of node-splitting techniques. This restructuring obviates the control dependence graph, since afterwards control dependence relations are manifest in the syntax tree of the program. In this paper we present transformations that effect this normalization, and study the complexity of the method. Index Terms: Continuations, control-flow, elimination algorithms, normalization,...