[[abstract]]The authors propose two heuristic procedures for the allocation problem in a data-path-synthesis system. Both procedures divide the problem into three subtasks: (1) register allocation, (2) operation assignment, and (3) connection allocation. Heuristic I performs in that order, whereas heuristic II does (2) then (1). The bipartite weight-matching algorithm is incorporated into the algorithms. Comparison with previous approaches shows that both heuristics produce excellent results very quickly[[fileno]]2030207030044[[department]]資訊工程學
This paper presents an evolutionary approach to solve the data path allocation problem in high-level...
MAHA is a program which implements an algorithm for register level synthesis of data paths from a da...
The technique presented here achieves simultaneous optimization of schedule time and data path compo...
[[abstract]]Proposed is a graph-theoretic approach for the data path allocation problem. The problem...
Abstract-The most creative step in synthesizing data paths executing software descriptions is the ha...
AbstractIn this paper, we present some new results on the complexity of allocation and binding probl...
* Existing approaches to data path allocation in highlevel synthesis use a binding model in which va...
A technique for allocatzon and binding for data path synthesis (DPS) using a Genetic Algorithm (GA) ...
This paper presents a deterministic parallel algorithm to solve the data path allocation problem in ...
We present a robust datapath allocation method that is flexible enough to handle constraints imposed...
Various aspects of the two major tasks in high-level synthesis, scheduling and allocation, are studi...
Numerous problems can be modeled as clique partitioning problems in digital design synthesis. In thi...
We present here a technique for allocation and binding for data path synthesis (DPS) using a Genetic...
We consider a content distribution network (CDN) in which data hubs or servers are established in mu...
We consider a content distribution network (CDN) in which data hubs or servers are established in mu...
This paper presents an evolutionary approach to solve the data path allocation problem in high-level...
MAHA is a program which implements an algorithm for register level synthesis of data paths from a da...
The technique presented here achieves simultaneous optimization of schedule time and data path compo...
[[abstract]]Proposed is a graph-theoretic approach for the data path allocation problem. The problem...
Abstract-The most creative step in synthesizing data paths executing software descriptions is the ha...
AbstractIn this paper, we present some new results on the complexity of allocation and binding probl...
* Existing approaches to data path allocation in highlevel synthesis use a binding model in which va...
A technique for allocatzon and binding for data path synthesis (DPS) using a Genetic Algorithm (GA) ...
This paper presents a deterministic parallel algorithm to solve the data path allocation problem in ...
We present a robust datapath allocation method that is flexible enough to handle constraints imposed...
Various aspects of the two major tasks in high-level synthesis, scheduling and allocation, are studi...
Numerous problems can be modeled as clique partitioning problems in digital design synthesis. In thi...
We present here a technique for allocation and binding for data path synthesis (DPS) using a Genetic...
We consider a content distribution network (CDN) in which data hubs or servers are established in mu...
We consider a content distribution network (CDN) in which data hubs or servers are established in mu...
This paper presents an evolutionary approach to solve the data path allocation problem in high-level...
MAHA is a program which implements an algorithm for register level synthesis of data paths from a da...
The technique presented here achieves simultaneous optimization of schedule time and data path compo...