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A DNA sequence analysis parallelization in large databases using cluster, multi-cluster, and GRID is presented. Achievable speedup, scalability, and overhead introduced by communications are discussed, and the impact of ...

Materie / parole chiave: HWANG, KAI; MCGRAW-HILL; 004.01 H991c

This paper describes two parallel algorithms for the eÆcient processing of relational database transactions and presents a performance analysis of them. These algorithms are built upon the bulk-synchronous parallel mode...

The goal of EMBgrid is to overcome relevant infrastructure needs in Bioinformatics development and services in order to address future needs for the provision of useful Bioinformatics solutions to the Biosciences communi...

Digital images are digital signals captured through different means. Sometimes these captured images contain variations combined with the original signal, this variations are called noise. Echo is a particular kind of no...

In the Laboratory of Research and Development on Computer Science of the National University of La Plata, a face recognition system has been developed. This article describes a series of testings based on parallel proces...

Matrix multiplication is taken as a test bed for parallel processing on heterogeneous networks of workstations (local area networks) used as parallel machines. Two algorithms are proposed taking into account the specific...

The growing processing power of standard workstations, along with the relatively easy way in which they can be available for parallel processing, have both contributed to their increasing use in computation intensive app...

El trabajo presenta la investigación y desarrollo de un entorno que permite el acceso remoto a laboratorios multicluster. El resultado es una capa de software de administración que puede ser accedida mediante una aplic...

Este trabalho estuda as várias formas de integração do paralelismo E e do paralelismo OU na Programação em Lógica. O trabalho engloba os principais sistemas, a saber: ANDORRA-I, ACE, ROPM e IDIOM. Ao final, é feit...

Features such as fast response, storage efficiency, fault tolerance and graceful degradation in face of scarce or spurious inputs make neural networks appropriate tools for Intelligent Computer Systems. A neural network ...

Molecular Dynamics (MD) simulations can help to utimingnderstand an immense number of phenomena at the nano and microscale. They often require the exploration of large parameter space, and a possible parallelization str...

Parallel performance optimization is being applied and further improvements are studied for parallel linear algebra on clusters. Several parallelization guidelines have been defined and are being used on single clusters ...

In scheduling, a set of machines in parallel is a setting that is important, from both the theoretical and practical points of view. From the theoretical viewpoint, it is a generalization of the single machine scheduling...

Allocation of the components (tasks) of a parallel program to processors in a multiprocessor or a multicomputer system take full advantage of the computational power provided by the system. Evolutionary approaches has b...

Learning algorithms for neural networks involve CPU intensive processing and consequently great effort has been done to develop parallel implemetations intended for a reduction of learning time. This work briefly descri...

A parallel program, when running, can be conceived a set of parallel components (tasks) which can be executed according to sorne precedence relationship. In this case efficient scheduling of tasks permits to take full.a...

Image mining deals with the study and development of new technologies that allow accomplishing this subject. A common mistake about image mining is identifying its scopes and limitations. Clearly it is different from com...

The problem of how to find a schedule on m > 2 processors of equal capacity that minimises the whole processing time of independent tasks has been shown as belonging to the NP-complete class (Horowitz and Sahni [12]). Ev...

This paper analyses the parallel implementation using networks of transputers of a neural structure belonging to a particular class of neural architectures known as GSN neural networks. These architectures, belonging to ...

Parallel machine scheduling, also known as parallel task scheduling, involves the assignment of multiple tasks onto the system architecture’s processing components (a bank of machines in parallel). A basic model invol...

El análisis de imágenes puede revelar información útil para los usuarios El significativo aumento del uso de imágenes en diferentes campos de la ciencia, medicina, negocios, etc., requiere de mayor poder de procesam...

Se desarrolló el modelo TTIGHa utilizado para modelizar y predecir performance de aplicaciones paralelas que se ejecutan sobre arquitecturas heterogéneas. Además, se implementó el algoritmo de asignación de tareas ...

The Self Distributing Virtual Machine (SDVM) is a middleware concept to form a parallel computing machine consisting of a any set of processing units, such as functional units in a processor or FPGA, processing units in ...