Titlebook: Matrix Computations on Systolic-Type Arrays; Jaime H. Moreno,Tomás Lang Book 1992 Springer Science+Business Media New York 1992 algorithm.

Jefferson

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圍巾

Regularization of Matrix Algorithms,e description of an algorithm is successively transformed and made suitable for an implementation. In this chapter, we examine some issues regarding these transformational techniques. Moreover, we focus on the method that is the main topic of this book and introduce the regularization process in it.

elucidate

Partitioned Realizations Using Cut-and-Pile, process of realizing the multimesh graph of an algorithm with large or variable-size matrices. In this case, a cost-effective structure requires partitioning the algorithm into subproblems that fit an array with fewer cells.

辭職

Linear Pseudosystolic Array for Matrix Algorithms,e lower bandwidth requirements and better utilization, and are more suitable to incorporate fault-tolerant features than two-dimensional arrays. Based on these facts, it is of interest to look into the architecture of a class-specific linear computing structure.

稱贊

Systolic-Type Arrays for Matrix Algorithms,tolic-type arrays, and discuss the relationship among the size of matrices and arrays. Based on the concepts described here, the following chapters will present a method to implement matrix algorithms in systolic-type arrays.

進取心

易怒

幻影

0893-3405 ssor arrays for matrix algorithms. It describesthe tradeoffs among the characteristics of these systems, such asinternal storage and communication bandwidth, and the impact onoverall performance and cost. A system which allows for the analysisof methods for the design/mapping of matrix algorithms is

Offensive

Mapping Matrix Algorithms,ication-specific indicates that the processing elements and the interconnection structure are basically well-suited for the class of matrix algorithms. However, since the underlying generality is achieved by having a large variety of features, it becomes necessary to adapt the method to those features.

不如屎殼郎

Summary And Further Research,In this book we have described a method for the implementation of matrix computations on application-specific processor arrays, which includes capabilities to evaluate the implementations. The method is suitable for the realization of . structures as well as for mapping algorithms onto . arrays.