# A framework for generalized control dependence

@inproceedings{Bilardi1996AFF, title={A framework for generalized control dependence}, author={Gianfranco Bilardi and Keshav Pingali}, booktitle={ACM-SIGPLAN Symposium on Programming Language Design and Implementation}, year={1996} }

We generalize the notion of dominance by defining a generalized dominance relation with respect to a set of paths in the control flow graph G = (V, E). This new definition leads to a generalized notion of control dependence, which includes standard control dependence and weak control dependence as special cases.If the set of paths underlying a generalized dominance relation satisfies some natural closure conditions, that dominance relation is tree-structured. Given this tree, the corresponding…

## 44 Citations

### A unifying theory of control dependence and its application to arbitrary program structures

- MathematicsTheor. Comput. Sci.
- 2011

### Optimal control dependence computation and the Roman chariots problem

- Computer ScienceTOPL
- 1997

The augmented postdominator tree (APT) is introduced, a data structure which can be constructed in space and time proportional to the size of the program and which supports enumeration of a number of useful control dependence sets inTime proportional to their size.

### Parametric and Termination-Sensitive Control Dependence - Extended Abstract

- Computer Science
- 2006

A parametric approach to control dependence is presented, where the parameter is any prefix-invariant property on paths in the control-flow graph (CFG), and a novel control dependence relation, called termination-sensitive control dependence, is obtained also as an instance of the parametric framework.

### Generalising Control Dependence

- Mathematics
- 2010

Weak and strong projection, properties which capture the underlying semantics of control dependence, are dened. Weak and strong commitment-closedness, generalisations of non{termination sensitive and…

### Efficient Computation of Interprocedural Control Dependence

- Computer Science
- 2001

This paper presents two efficient, conceptually simple algorithms for computing the interprocedural postdominance relation that can be used to compute interprocesural control dependence and one of them can be tuned to scale better to larger programs.

### A new foundation for control dependence and slicing for modern program structures

- Computer ScienceTOPL
- 2007

To provide a foundation for slicing reactive systems, the article proposes a notion of slicing correctness based on weak bisimulation, and proves that some of these new definitions of control dependence generate slices that conform to this notion of correctness.

### Static Backward Slicing of Non-deterministic Programs and Systems

- Computer ScienceACM Trans. Program. Lang. Syst.
- 2018

It is proved that if a subset of the vertices of an NDPG is both data dependence closed and (weak/strong) commitment closed, then the resulting induced graph will, indeed, satisfy structural and semantic requirements.

### Fast Computation of Strong Control Dependencies

- Computer ScienceCAV
- 2021

New algorithms for computing non-termination sensitive control dependence (NTSCD) and decisive order dependence (DOD) have many applications including program slicing and compiler optimizations and are asymptotically faster than the current algorithms.

### The Static Single Assignment Form and its Computation

- Computer Science
- 1999

This paper gives a systematic presentation of known properties of the SSA form, and gives a simple framework in which all existing SSA algorithms can be placed and compared, and invent two new-placement algorithms which require asymptotically linear running time.

### Algorithms for computing the static single assignment form

- Computer ScienceJACM
- 2003

This article proposes a framework within which properties of the SSA form and φ-placement algorithms are derived, based on a new relation called merge which captures succinctly the structure of a program's control flow graph that is relevant to its SSAform.

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