If the number of workstations is 4, then the speed up is increased four times, and the like. The speedup may be higher if other services are stopped. The following pictures illustrate this trichotomy in the case of two variables: Copyright Gale, Cengage Learning.

For three variables, each linear equation determines a plane in three-dimensional spaceand the solution set is the intersection of these planes.

The time taken to execute the program once is given in table 2. For example, the equations.

As a consequence, the backward substitution method need not be applied here due to the property of the matrix being identical. General behavior[ edit ] The solution set for two equations in three variables is, in general, a line.

But it can be inferred that the speed up of the operations is directly related to the number of processors in a workstation. Solving the linear equations on a shared memory system The implementation of the Gauss Elimination algorithm on several parallel machines using shared memory design and message passing programming model is reported in [2].

Solution of linear equations and performance analysis on desktop computing systems.

The programs for solving the equations using the Gaussian elimination and Gauss--Jordan methods have been developed using the assembly language programming and the results have been tested on different types of processors.

Performance analysis To solve a system with large number of equations we have to necessarily go for parallel machines or a network of clusters. Thus, the elimination procedure results in an identity matrix rather than a triangular matrix. In general, a system with the same number of equations and unknowns has a single unique solution.

The free term B is a vector with dimension n and bi as the components. Gaussian Elimination Method The Gaussian elimination method comprises of two steps, namely the forward elimination phase and the backward substitution phase.

The above two inferences clearly show that there will not be any boosting factor for the performance of the system if the linear equations are solved either in parallel machines or on a network of workstations.

This analysis is yet another dimension with respect to the complexity analysis of these methods for solving the system of linear equations. Details of the floating point instructions used in the programs Matrix Total Arithmetic No.

Gauss--elimination and Gauss--Jordan method. In this work, these methods have been chosen because of their extensive use in finite element applications and in other engineering applications.

The set of all possible solutions is called the solution set. Whereas the speedup in core2duo processors is 8 to 10 times, and the speedup in systems with AMD optronD dual processor 64 bit processor is 25 to When the equations are independent, each equation contains new information about the variables, and removing any of the equations increases the size of the solution set.

Intel Xeon Quad core, Measurements Methodology The efficient software design of the solution for system of linear equations using the Gaussian elimination and Gauss - Jordan methods is largely dependant on exploiting the features of the underlying target machine architecture.Systems of Linear Equations.

A Linear Equation is an equation for a line. A System of Linear Equations is when we have two or more linear equations working together. Example: Here are two linear equations: 2x + y = 5 −x + y = 2: Together they are a system of linear equations.

because there is a solution the equations are. A system of linear equations is just a set of two or more linear equations. In two variables (x and y), the graph of a system of two equations is. Solving the linear equations on a network of workstations The system of linear equations is solved using the Gaussian elimination and Gauss-Jordan methods on a network of workstations [3], the set up which has the highest possibility of.

In mathematics, a system of linear equations (or linear system) is a collection of two or more linear equations involving the same set of variables. For example, + − = − + = − − + − = is a system of three equations in the three variables x, y, z.A solution to a linear system is an assignment of values to the variables such that all the equations are.

A system of linear equations means two or more linear equations.(In plain speak: 'two or more lines') If these two linear equations intersect, that point of intersection is called the solution to the system of linear equations. The Intel® Math Kernel Library includes LAPACK routines for solving systems of linear equations, factoring and inverting matrices, and estimating condition numbers.

The standard LAPACK functions do not check the input data (matrices) for IEEE floating point INFs or NANS. INFs and NANs will.

DownloadSolution of a system of linear equations for intelx64

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