Corpus ID: 15663159

Enhancing Multicore System Performance Using Parallel Computing with MATLAB

@inproceedings{Luszczek2009EnhancingMS,
  title={Enhancing Multicore System Performance Using Parallel Computing with MATLAB},
  author={P. Luszczek},
  year={2009}
}
A Typical Numerical Computing Problem To illustrate the two paradigms, we will use MATLAB to test a hypothesis regarding Girko’s circular law. Girko’s law states that the eigenvalues of a random N-by-N matrix whose elements are drawn from a normal distribution tend to lie inside a circle of radius sqrt(N) for large enough N. Our hypothesis is that Girko’s circular law can be modified to apply to singular values. The hypothesis is justified because singular values are eigenvalues of a modified… Expand

Figures from this paper

Implementing The Classical Poker Method For Testing Randomness In Parallel With MATLAB
The problem of testing randomness is motivated by the need to evaluate of the quality of different random number generators used by many practical applications including computer simulations,Expand
A review of tools, models and techniques for long-term assessment of distribution systems using OpenDSS and parallel computing
TLDR
The tools, models, and procedures used by the authors in optimal allocation of distributed resources, reliability assessment of distribution systems with and without distributed generation, optimal rating of energy storage systems, or impact analysis of the solid state transformer are summarized. Expand
Analysis of power distribution systems using a multicore environment
TLDR
The optimum allocation of distributed generation has been the objective of many studies in recent years; the procedure presented in this Thesis is aimed at minimizing system energy losses for short and long term evaluation periods. Expand
Implementation and evaluation of real-time model predictive control for load fluctuations mitigation in all-electric ship propulsion systems
Abstract Electrification is a clear trend for both commercial and military ship development. Shipboard load fluctuations, such as propulsion-load fluctuations and pulse power loads, can significantlyExpand
Binary Particle Swarm Optimization Algorithm for Kidney Exchanges
TLDR
The obtained results indicate that binary PSO outperforms other stochastic-based methods such as genetic algorithm, ant lion optimization, and efficient the number of resulting exchanges. Expand
Event retrieval in video archives using rough set theory and partially supervised learning
TLDR
This paper develops a query-by-example method for retrieving shots of an event (event shots) using example shots provided by a user using rough set theory and incorporates bagging and the random subspace method. Expand