Parallel Algorithms for Computational Models of Geophysical Systems
نویسندگان
چکیده
منابع مشابه
Parallel Algorithms for Computational Biology
Bioinformatics algorithms are computationally demanding and most of them are compute intensive. Hence we require huge amount of computing power. High Performance Computing as been traditionally believed to be an expensive affair. In this paper we investigate techniques that have been used to parallelize conventional algorithms, coding patterns and architectural enhancements of platforms for bet...
متن کاملSECURING INTERPRETABILITY OF FUZZY MODELS FOR MODELING NONLINEAR MIMO SYSTEMS USING A HYBRID OF EVOLUTIONARY ALGORITHMS
In this study, a Multi-Objective Genetic Algorithm (MOGA) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear Multi-input Multi-output (MIMO) systems. In the process of non- linear system identi cation, structure selection, parameter estimation, model performance and model validation are important objectives. Furthermore, se- curing low-level and high-level ...
متن کاملNEW MODELS AND ALGORITHMS FOR SOLUTIONS OF SINGLE-SIGNED FULLY FUZZY LR LINEAR SYSTEMS
We present a model and propose an approach to compute an approximate solution of Fully Fuzzy Linear System $(FFLS)$ of equations in which all the components of the coefficient matrix are either nonnegative or nonpositive. First, in discussing an $FFLS$ with a nonnegative coefficient matrix, we consider an equivalent $FFLS$ by using an appropriate permutation to simplify fuzzy multiplications. T...
متن کاملEecient Parallel Ffts for Diierent Computational Models Eecient Parallel Ffts for Diierent Computational Models
We select the Fast Fourier Transfrom (FFT) to demonstrate a methodology for deriving the optimal parallel algorithm according to predetermined performance metrics, within a computational model. Following the vector space framework for parallel permutations, we provide a speciication language to capture the algorithm, derive the optimal parallel FFT speciication, compute the arithmetic, memory, ...
متن کاملLarge-scale parallel geophysical algorithms in Java: a feasibility study
Java is often accused of being too slow for serious programming, especially for scienti c problem solving. However, we found that for a large-scale geophysical application, Java code compiled with current just-intime compilers runs slower than Fortran by a factor of at most four, on both a shared-memory parallel machine (SGI Origin2000) and a distributed-memory parallel machine (IBM SP/2). The ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geofísica Internacional
سال: 2013
ISSN: 0016-7169
DOI: 10.1016/s0016-7169(13)71478-8