Finite differencing is a program optimization method that generalizes strength reduction, and provides an efficient implementation for a host of program transformations including iterator inversion. Finite differencing is formally specified in terms of more basic transformations shown to preserve program semantics. Estimates of the speedup that the technique yields are given. A full illustrative example of algorithm derivation is presented
AbstractWe demonstrate a method for describing data-flow analyses based program optimizations as com...
Abstract—The performance gap for high performance applications has been widening over time. High lev...
We aim to specify program transformations in a declarative style, and then to generate executable pr...
Finite differencing is a program optimization method that generalizes strength reduction, and provid...
Tools for computational differentiation transform a program that computes a numerical function F(x) ...
Programming practice is limited by labor costs such as implementation design, program development, d...
We implement strength reduction and loop-invariant code motion by specializing instrumented interpre...
Program specialization is a program transformation methodology which improves program efficiency by ...
A systematic approach is given for deriving incremental programs from non-incremental programs writt...
Program specialization is a collection of program transformation techniques for improving program ef...
We implement strength reduction and loop-invariant code motion by specializing instrumented interpre...
In order to solve a given problem by using a computer, we need an. algorithm. If an algorithm is pro...
International audienceOver the last decade, guaranteeing the accuracy of computations relying on the...
An approximate program transformation is a trans-formation that can change the semantics of a progra...
Algebraic properties such as associativity or distributivity allow the manipulation of a set of math...
AbstractWe demonstrate a method for describing data-flow analyses based program optimizations as com...
Abstract—The performance gap for high performance applications has been widening over time. High lev...
We aim to specify program transformations in a declarative style, and then to generate executable pr...
Finite differencing is a program optimization method that generalizes strength reduction, and provid...
Tools for computational differentiation transform a program that computes a numerical function F(x) ...
Programming practice is limited by labor costs such as implementation design, program development, d...
We implement strength reduction and loop-invariant code motion by specializing instrumented interpre...
Program specialization is a program transformation methodology which improves program efficiency by ...
A systematic approach is given for deriving incremental programs from non-incremental programs writt...
Program specialization is a collection of program transformation techniques for improving program ef...
We implement strength reduction and loop-invariant code motion by specializing instrumented interpre...
In order to solve a given problem by using a computer, we need an. algorithm. If an algorithm is pro...
International audienceOver the last decade, guaranteeing the accuracy of computations relying on the...
An approximate program transformation is a trans-formation that can change the semantics of a progra...
Algebraic properties such as associativity or distributivity allow the manipulation of a set of math...
AbstractWe demonstrate a method for describing data-flow analyses based program optimizations as com...
Abstract—The performance gap for high performance applications has been widening over time. High lev...
We aim to specify program transformations in a declarative style, and then to generate executable pr...