Extending the projection method for the synthesis of systolic arrays, we present a procedure for the design of fixed-size systolic arrays using a technique called "locally sequential globally parallel" (LSGP) partitioning. Our main result, which gives a necessary and sufficient condition to characterize the boxes in which cells can be merged without conflict, is the key to the procedure presented here. 1 Introduction Recent work has shown that the usual synthesis method for systolic arrays based upon a projection vector and a scheduling vector can be extended to generate systolic implementations on a fixed number of processors. The main idea of all these extensions is to merge many cells into a single processor, so as to compress...
In this paper we study the synthesis of space-time optimal systolic arrays for the Cholesky Factoriz...
Parallel processing is now a key architectural concept. One form aimed at exploiting massive paralle...
The paper presents a design for a hardware genetic algorithm which uses a pipeline of systolic array...
(eng) We describe a new, practical, constructive method for solving the well-known conflict-free sch...
An improved method for solving the well-known conflict-free scheduling problem for the locally seque...
The efficient solution of a large problem on a small systolic array requires good partitioning techn...
An improved method for solving the well-known conflict-free scheduling problem for the locally seque...
A systematic method to map systolizable problems onto multicomputers is presented in this paper. A s...
Regular arrays, particularly systolic arrays, have been the subject of continuous interest for the p...
Systematic methods have been proposed for the design of (semi-) systolic arrays. One approach consis...
AbstractThis paper proposes a novel architecture for massively parallel systolic computers, which is...
In this paper, we show that every systolic array executes a Regular Iterative Algorithm with a stron...
AbstractA profile is given of current research, as it pertains to computational mathematics, on Very...
A systematic method to m q systolizable proMems onto multicomputers is presented in this paper. A sy...
AbstractGiven n elements and an arbitrary integer mfor m ⩽ n, a systolic algorithm for generating al...
In this paper we study the synthesis of space-time optimal systolic arrays for the Cholesky Factoriz...
Parallel processing is now a key architectural concept. One form aimed at exploiting massive paralle...
The paper presents a design for a hardware genetic algorithm which uses a pipeline of systolic array...
(eng) We describe a new, practical, constructive method for solving the well-known conflict-free sch...
An improved method for solving the well-known conflict-free scheduling problem for the locally seque...
The efficient solution of a large problem on a small systolic array requires good partitioning techn...
An improved method for solving the well-known conflict-free scheduling problem for the locally seque...
A systematic method to map systolizable problems onto multicomputers is presented in this paper. A s...
Regular arrays, particularly systolic arrays, have been the subject of continuous interest for the p...
Systematic methods have been proposed for the design of (semi-) systolic arrays. One approach consis...
AbstractThis paper proposes a novel architecture for massively parallel systolic computers, which is...
In this paper, we show that every systolic array executes a Regular Iterative Algorithm with a stron...
AbstractA profile is given of current research, as it pertains to computational mathematics, on Very...
A systematic method to m q systolizable proMems onto multicomputers is presented in this paper. A sy...
AbstractGiven n elements and an arbitrary integer mfor m ⩽ n, a systolic algorithm for generating al...
In this paper we study the synthesis of space-time optimal systolic arrays for the Cholesky Factoriz...
Parallel processing is now a key architectural concept. One form aimed at exploiting massive paralle...
The paper presents a design for a hardware genetic algorithm which uses a pipeline of systolic array...