This paper presents a parallel simulated annealing algorithm for solving the problem of mapping irregular parallel programs onto homogeneous processor arrays with regular topology. The algorithm constructs and uses joint transformations. These transformations guarantee a high degree of parallelism that is bounded below by d jNp j deg(Gp)+1 e, where jN p j is the number of task nodes in the mapped program graph G p and deg(G p ) is the maximal degree of a node in G p . The mapping algorithm provides good program mappings (in terms of program execution time and the number of processors used) in a reasonable number of steps
In this paper, a heuristic mapping approach which maps parallel programs, described by precedence gr...
We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorit...
In this paper we present fast parallel algorithms for remapping a class of irregular and adaptive pr...
This paper presents a parallel simulated annealing algorithm for solving the problem of mapping irre...
The need for high-performance computing together with the increasing trend from single processor to ...
The need for high-performance computing together with the increasing trend from single processor to ...
Simulated annealing has proven to be a good technique for solving hard combinatorial optimization pr...
This paper presents self-organizing feature maps as an efficient tool generating solutions of the ma...
<p>The need for high-performance computing together with the increasing trend from single processor ...
Simulated annealing has proven to be a good technique for solving hard combinatorial optimization p...
Mapping of parallel programs onto parallel computers for efficient execution is a fundamental proble...
Irregular problems arise in many areas of computational physics and other scientific applications. A...
This paper presents a generic technique for mapping parallel algorithms onto parallel architectures....
In this paper, a heuristic mapping approach which maps parallel programs, described by precedence gr...
The task-to-processor mapping problem is addressed in the context of a local-memory multiprocessor w...
In this paper, a heuristic mapping approach which maps parallel programs, described by precedence gr...
We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorit...
In this paper we present fast parallel algorithms for remapping a class of irregular and adaptive pr...
This paper presents a parallel simulated annealing algorithm for solving the problem of mapping irre...
The need for high-performance computing together with the increasing trend from single processor to ...
The need for high-performance computing together with the increasing trend from single processor to ...
Simulated annealing has proven to be a good technique for solving hard combinatorial optimization pr...
This paper presents self-organizing feature maps as an efficient tool generating solutions of the ma...
<p>The need for high-performance computing together with the increasing trend from single processor ...
Simulated annealing has proven to be a good technique for solving hard combinatorial optimization p...
Mapping of parallel programs onto parallel computers for efficient execution is a fundamental proble...
Irregular problems arise in many areas of computational physics and other scientific applications. A...
This paper presents a generic technique for mapping parallel algorithms onto parallel architectures....
In this paper, a heuristic mapping approach which maps parallel programs, described by precedence gr...
The task-to-processor mapping problem is addressed in the context of a local-memory multiprocessor w...
In this paper, a heuristic mapping approach which maps parallel programs, described by precedence gr...
We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorit...
In this paper we present fast parallel algorithms for remapping a class of irregular and adaptive pr...