We have developed a hybrid algorithm for interprocedural constant propagation combining the Wegman-Zadeck, Burke and Cytron, and demand-driven approaches. We use a modified Wegman-Zadeck algorithm as the incremental intraprocedural constant propagator in the demand-driven interprocedural framework. Wegman and Zadeck solve the interprocedural constant propagation problem by linking the SSA graphs of a set of procedures into a single large SSA graph and then use their Sparse Conditional Constant (SCC) algorithm on the constructed graph [WZ91]. SCC is an optimistic (assumes values are constant until proven otherwise) worklist algorithm. Burke and Cytron solve the interprocedural constant propagation problem with an algorithm that uses a pessim...
Constraint Propagation is an essential part of many constraint programming systems. Sitting at the h...
International audienceA number of problems in statistical physics and computer science can be expres...
This article presents a model and implementation techniques for speeding up constraint propagation. ...
In this paper, we present a constant propagation algorithm for explicitly parallel programs, which w...
We present a new constant propagation (CP) algorithm for predicated code, for which classical CP-tec...
Constraint Satisfaction Problems (CSPs) are defined over a set of variables whose state must satisfy...
This lecture focuses on the Constant Propagation Analysis. This is just one of many types of analyse...
Constant propagation is a well-known static compiler technique in which values of variables which ar...
This paper concerns the solution of demand versions of interprocedural analysis problems. In a deman...
AbstractConstant propagation, the replacement of program terms which represent a unique value at run...
Combinatorial Optimization is intrinsically hard, including for computers because of the exponential...
This report is contained in the compressed postscript file 2049.ps.Z. A causal propagation algorith...
Local consistency properties and algorithms for enforcing them are central to the success of Constra...
Belief propagation (BP) on cyclic graphs is an efficient algorithm for computing approximate margina...
Distributed, iterative algorithms operating with minimal data structure while performing little comp...
Constraint Propagation is an essential part of many constraint programming systems. Sitting at the h...
International audienceA number of problems in statistical physics and computer science can be expres...
This article presents a model and implementation techniques for speeding up constraint propagation. ...
In this paper, we present a constant propagation algorithm for explicitly parallel programs, which w...
We present a new constant propagation (CP) algorithm for predicated code, for which classical CP-tec...
Constraint Satisfaction Problems (CSPs) are defined over a set of variables whose state must satisfy...
This lecture focuses on the Constant Propagation Analysis. This is just one of many types of analyse...
Constant propagation is a well-known static compiler technique in which values of variables which ar...
This paper concerns the solution of demand versions of interprocedural analysis problems. In a deman...
AbstractConstant propagation, the replacement of program terms which represent a unique value at run...
Combinatorial Optimization is intrinsically hard, including for computers because of the exponential...
This report is contained in the compressed postscript file 2049.ps.Z. A causal propagation algorith...
Local consistency properties and algorithms for enforcing them are central to the success of Constra...
Belief propagation (BP) on cyclic graphs is an efficient algorithm for computing approximate margina...
Distributed, iterative algorithms operating with minimal data structure while performing little comp...
Constraint Propagation is an essential part of many constraint programming systems. Sitting at the h...
International audienceA number of problems in statistical physics and computer science can be expres...
This article presents a model and implementation techniques for speeding up constraint propagation. ...