This paper is concerned with the consequences for matrix computations of having a rather large number of general purpose processors, say ten or twenty thousand, connected in a network in such a way that a processor can communicate only with its immediate neighbors. Certain communication tasks associated with most matrix algorithms are defined and formulas developed for the time required to perform them under several communication regimes. The results are compared with the times for a nominal n
A parallel matrix multiplication algorithm is presented, and studies of its performance and estimati...
This paper attempts to rigorously determine the computation and communication requirements of connec...
AbstractThe communication complexity of a function f measures the communication resources required f...
This paper is concerned with the consequences for matrix computations of having a rather large numbe...
We present lower bounds on the amount of communication that matrix multiplication algorithms must pe...
In this paper we consider the problem of computing a large matrix-vector product in a network-based ...
The use of an appropriate methodology for calculating the communication cost, time complexity and pe...
In this paper we propose a new approach to the study of the communication requirements of distribute...
In this paper we present an efficient dense matrix multi-plication algorithm for distributed memory ...
Ali Pinary and Bruce Hendricksonz 1 Introduction In this work we address two problems associated wit...
Dense linear algebra computations are essential to nearly every problem in scientific computing and ...
We consider the distributed computing problem of multiplying a set of vectors with a matrix. For thi...
This paper initiates the study of communication complexity when the processors have limited work spa...
In this paper we propose a new approach to the study of the communication requirements of distribute...
Parallel computing on networks of workstations are intensively used in some application areas such a...
A parallel matrix multiplication algorithm is presented, and studies of its performance and estimati...
This paper attempts to rigorously determine the computation and communication requirements of connec...
AbstractThe communication complexity of a function f measures the communication resources required f...
This paper is concerned with the consequences for matrix computations of having a rather large numbe...
We present lower bounds on the amount of communication that matrix multiplication algorithms must pe...
In this paper we consider the problem of computing a large matrix-vector product in a network-based ...
The use of an appropriate methodology for calculating the communication cost, time complexity and pe...
In this paper we propose a new approach to the study of the communication requirements of distribute...
In this paper we present an efficient dense matrix multi-plication algorithm for distributed memory ...
Ali Pinary and Bruce Hendricksonz 1 Introduction In this work we address two problems associated wit...
Dense linear algebra computations are essential to nearly every problem in scientific computing and ...
We consider the distributed computing problem of multiplying a set of vectors with a matrix. For thi...
This paper initiates the study of communication complexity when the processors have limited work spa...
In this paper we propose a new approach to the study of the communication requirements of distribute...
Parallel computing on networks of workstations are intensively used in some application areas such a...
A parallel matrix multiplication algorithm is presented, and studies of its performance and estimati...
This paper attempts to rigorously determine the computation and communication requirements of connec...
AbstractThe communication complexity of a function f measures the communication resources required f...