Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
The 80x86 IBM PC & compatible computers (vol. II): design and interfacing of the IBM PC, PS and compatibles
New Inexact Parallel Variable Distribution Algorithms
Computational Optimization and Applications
Rate of Convergence of Some Space Decomposition Methods for Linear and Nonlinear Problems
SIAM Journal on Numerical Analysis
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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In previous research, we have proposed a parallel block scaled gradient with decentralized step-size (PBSGDS) method. The method circumvents the difficulty of determining a step-size in the distributed computing environment and enables the proposed parallel algorithm to execute in a distributed computer network with limited amount of date transfer. In this paper, we implement the parallel algorithm within two real Independent System Operator (ISO) Networks, including homogeneous and heterogeneous types PCs-Networks environments, and demonstrate the computational efficiency and numerical satiability through numerous simulation test results in solving a Convex Block Additive Unconstrained (CBAU) optimization problem. Furthermore, the test results show that the performance of the proposed parallel algorithm appears more attractive due to the asynchronous effect in the distributed computing environment.