Abstract:- Dynamic programming can be used to solve the optimization problem of optimal matrix parenthesization problem, which is discussed in detail in the paper. The results and their analysis reveal that there is considerable amount of time reduction compared with simple left to right multiplication, on applying the matrix parenthesization algorithm. Time reduction varies from 0 % to 96%, proportional to the number of matrices and the sequence of dimensions. It is also learnt that on applying parallel matrix parenthesization algorithm, time is reduced proportional to the number of processors at the start, however, after some increase, adding more processors does not yield any more throughput but only increases the overhead and cost. Fore...
Matrix multiplication is a basic operation of linear algebra, and has numerous applications to the t...
Parallel computing operates on the principle that large problems can often be divided into smaller o...
Two issues in linear algebra algorithms for multicomputers are addressed. First, how tounify paralle...
We study the parallel computation of dynamic programming. We consider four important dynamic program...
AbstractAntonio, Tsai, and Huang proposed a scheme in 1991 to parallelize the standard dynamic progr...
AbstractA general method for parallelization of some dynamic programming algorithms on VLSI was pres...
A general method for parallelism of some dynamic programming algorithms on VLSI was presented in [6]...
The main goal of this research is to use OpenMP, Posix Threads and Microsoft Parallel Patterns libra...
Matrix diagonalization is an important component of many aspects of computational science. There are...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
Dynamic programming is a technique widely used to solve several combinatory optimization problems. A...
This paper considers the computation of matrix chain products of the form M1 x M2 x ... M(n-1). The ...
Parallel algorithms play an imperative role in the high performance computing environment. Dividing ...
In 1983, Valiant, Skyum, Berkowitz and Rackoff showed that many problems with simple O(n 3 ) seque...
Matrix multiplication is one of the important operations in scientific and engineering application. ...
Matrix multiplication is a basic operation of linear algebra, and has numerous applications to the t...
Parallel computing operates on the principle that large problems can often be divided into smaller o...
Two issues in linear algebra algorithms for multicomputers are addressed. First, how tounify paralle...
We study the parallel computation of dynamic programming. We consider four important dynamic program...
AbstractAntonio, Tsai, and Huang proposed a scheme in 1991 to parallelize the standard dynamic progr...
AbstractA general method for parallelization of some dynamic programming algorithms on VLSI was pres...
A general method for parallelism of some dynamic programming algorithms on VLSI was presented in [6]...
The main goal of this research is to use OpenMP, Posix Threads and Microsoft Parallel Patterns libra...
Matrix diagonalization is an important component of many aspects of computational science. There are...
This Master Thesis examines if a matrix multiplication program that combines the two efficiency stra...
Dynamic programming is a technique widely used to solve several combinatory optimization problems. A...
This paper considers the computation of matrix chain products of the form M1 x M2 x ... M(n-1). The ...
Parallel algorithms play an imperative role in the high performance computing environment. Dividing ...
In 1983, Valiant, Skyum, Berkowitz and Rackoff showed that many problems with simple O(n 3 ) seque...
Matrix multiplication is one of the important operations in scientific and engineering application. ...
Matrix multiplication is a basic operation of linear algebra, and has numerous applications to the t...
Parallel computing operates on the principle that large problems can often be divided into smaller o...
Two issues in linear algebra algorithms for multicomputers are addressed. First, how tounify paralle...