AbstractOne of the functions of code generation (or peephole optimization of generated code) is to find a linear arrangement of code segments such that the sum of branch distances between code segments is minimized. The problem is a generalization of the optimal linear arrangement problem which is known to be NP-hard. However, it has important applications in generating object code for pipeline and cache machines. This paper presents a branch-and-bound method which incorporates a heuristic for deriving a near-optimal initial solution
A systematic nonlinear code having length 15, minimum distance 5, and 256 code words is given in Boo...
n cutting stock problems, after an optimal (minimal stockusage) cutting plan has been devised, one m...
The branch and bound principle has been established as an effective computational tool for solving l...
AbstractOne of the functions of code generation (or peephole optimization of generated code) is to f...
The Maximum Permutation Code Problem (MPCP) is a well-known combinatorial optimization problem in co...
Abstract—A bound on the minimum distance of a binary errorcorrecting code is established given const...
Many portable compilers generate an intermediate code that is subsequently translated into the targe...
Many portable compilers generate an intermediate code that is subsequently translated into the targe...
In this paper, we consider the problem of computing an optimal branch decomposition of a graph. Bran...
Many constraint satisfaction problems are combinatorically explosive, i.e. have far too many solutio...
Procedures have long been the basic units of compilation in conventional optimization frameworks. Ho...
International audienceSparse optimization focuses on finding a solution to least-squares problems wi...
In this report we study the e#ect of an optimizing algorithm for straight--line code which first con...
The classical meaning of superoptimization is to find the optimal code sequence for a single, loop-f...
This article provides a method of constructing branches for solving an integer problem of linear pro...
A systematic nonlinear code having length 15, minimum distance 5, and 256 code words is given in Boo...
n cutting stock problems, after an optimal (minimal stockusage) cutting plan has been devised, one m...
The branch and bound principle has been established as an effective computational tool for solving l...
AbstractOne of the functions of code generation (or peephole optimization of generated code) is to f...
The Maximum Permutation Code Problem (MPCP) is a well-known combinatorial optimization problem in co...
Abstract—A bound on the minimum distance of a binary errorcorrecting code is established given const...
Many portable compilers generate an intermediate code that is subsequently translated into the targe...
Many portable compilers generate an intermediate code that is subsequently translated into the targe...
In this paper, we consider the problem of computing an optimal branch decomposition of a graph. Bran...
Many constraint satisfaction problems are combinatorically explosive, i.e. have far too many solutio...
Procedures have long been the basic units of compilation in conventional optimization frameworks. Ho...
International audienceSparse optimization focuses on finding a solution to least-squares problems wi...
In this report we study the e#ect of an optimizing algorithm for straight--line code which first con...
The classical meaning of superoptimization is to find the optimal code sequence for a single, loop-f...
This article provides a method of constructing branches for solving an integer problem of linear pro...
A systematic nonlinear code having length 15, minimum distance 5, and 256 code words is given in Boo...
n cutting stock problems, after an optimal (minimal stockusage) cutting plan has been devised, one m...
The branch and bound principle has been established as an effective computational tool for solving l...