In the parallel variable distribution (PVD) approach for solving optimization problems, the variables are distributed among parallel processors with each processor having the primary responsibility for updating its bl...
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GEFREX is a genetic-neuro-fuzzy tool able to extract very compact fuzzy rules. It is mainly based on the genetic paradigm. this paper shows the preliminary result obtained by the author regarding the parallelization o...
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ISBN:
(纸本)3540660690
GEFREX is a genetic-neuro-fuzzy tool able to extract very compact fuzzy rules. It is mainly based on the genetic paradigm. this paper shows the preliminary result obtained by the author regarding the parallelization of this tool. the hw platform consists of a cluster of 7 PC-based single pentium II 233 MHz workstations and 1 PC-based double pentium II 300 MHz processor server. the communication network is a fast-ethernet dedicated LAN. the results achieved are very promising. With up to seven processing elements, the speedup obtainable is linear.
In this paper we present software engineering aspects of a parallel atmospheric General Circulation Model (GCM) currently nearing completion at the NASA Data Assimilation Office. the code is scientifically closely rel...
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ISBN:
(纸本)3540664432
In this paper we present software engineering aspects of a parallel atmospheric General Circulation Model (GCM) currently nearing completion at the NASA Data Assimilation Office. the code is scientifically closely related to the current Goddard Earth Observing System (GEOS 2.x) GCM. the new software design, however, is a radical departure from the previous Fortran 77 code, using Fortran 90 derived data types and modules to compartmentalize the implementation. In order to reduce turnaround time needed to facilitate scientific development, the GEOS 3.x implementation uses a message-passing paradigm. this allows the performance to scale consistently to a large number of processors on both an Origin 2000 and a Gray T3E. the Message-Passing Interface (MPI) is used for portability. the modularity and performance of the parallel GEOS 3.x code allow faster development of scientific improvements such as variable resolution grids and a new land surface model which are key to keeping the GCM competitive with other leading models.
this paper presents SKiPPER, a programming environment dedicated to the fast prototyping of parallel vision algorithms on MIMD- DM platforms. SKiPPER is based upon the concept of algorithmic skele- tons, i.e. higher o...
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the classification problem involves classifying an observation into one of two groups based on its attributes. Determination of a hyperplane which misclassifies the fewest number of observations from the training samp...
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In the solution of large-scale numerical problems, parallel computing is becoming simultaneously more important and more difficult. the complex organization of today's multi-processors with several memory hierarch...
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In the solution of large-scale numerical problems, parallel computing is becoming simultaneously more important and more difficult. the complex organization of today's multi-processors with several memory hierarchies has forced the scientific programmer to make a choice between simple but unscalable code and scalable but extremely complex code that does not port to other architectures. this paper describes how the SMARTS runtime system and the POOMA C++ class library for high-performance scientific computing work together to exploit data parallelism in scientific applications while hiding the details of managing parallelism and data locality from the user. We present innovative algorithms, based on the macro-dataflow model, for detecting data parallelism and efficiently executing data-parallel statements on shared-memory multiprocessors. We also describe how these algorithms can be implemented on clusters of SMPs.
Should we consider the dimensions of natural neural computation as they are known as a result of the scientific research, we realize there is a long tomorrow before us, interested in neural computation, for the simple...
ISBN:
(纸本)3540660682
Should we consider the dimensions of natural neural computation as they are known as a result of the scientific research, we realize there is a long tomorrow before us, interested in neural computation, for the simple reason that we can only handle a relatively low number of units and connections nowadays. All along this century we have significantly improved our knowledge on natural neural nets, to realize that huge number of cells and connections and begin to understand some of the brain signals processing and the repetitive structures which support it. However, even in the most developed cases, such as the auditory pathway modelling, there is not a neural computational device which can involve a real time response and follow the facts already known or plausibly postulated on some brain processes (e.g. by McCulloch and Pitts), withthe unavoidable great number of processing elements involved too, besides neither suitable models regarding those kind of real-look nets have been designed nor their corresponding real-conditions simulations have been carried out. that means there is a lack of connectionistically computable models and also reduction methods by which we can obtain a connectionistic implementation design, given the knowledge level model. therefore, we would like to ask: what is within reach? In order to answer this question we are going to present a restricted auditory pathway modelling case, where we shall be able to see the realistic challenges we are facing up tp. By trying to propose a consistent implementation for it, based on parallel, modular, distributed and self-programming computation, we shall see the kind of methods, equipment, software and simulations required and desirable.
this paper presents two methods for solving a partial differential equation of the second order, with application to the well-known Poisson equation. these methods are aimed at making a high-speed hardware solver. the...
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this paper presents two methods for solving a partial differential equation of the second order, with application to the well-known Poisson equation. these methods are aimed at making a high-speed hardware solver. the solutions presented will be a part of a hardware device simulator which is called "Virtual Device". We present simulation results to compare the two methods for solving this equation. We start with an iterative method (Gauss-Seidel method) and then end with a direct method (LU method).
A system for parallel synthesis of atomically regulated lattices and nano-structured heterojunctions has been developed. this combinatorial laser MBE system is composed of a UHV-PLD chamber, scanning RHEED for in situ...
A system for parallel synthesis of atomically regulated lattices and nano-structured heterojunctions has been developed. this combinatorial laser MBE system is composed of a UHV-PLD chamber, scanning RHEED for in situ diagnostics of reactions at various areas of substrate surface, a pair of fixed and moving masks to define the film deposition area, and a computer for controlling the operation conditions as functions of deposition area and time. In this system, oxide layered lattice strips were deposited in parallel on a SrTiO3 substrate under RHEED observation of individual strips with different compositions and/or layer thickness.
Image processing is often considered a good candidate for the application of parallelprocessing because of the large volumes of data and the complex algorithms commonly encountered. this paper presents a tutorial int...
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Image processing is often considered a good candidate for the application of parallelprocessing because of the large volumes of data and the complex algorithms commonly encountered. this paper presents a tutorial introduction to the field of parallel image processing. After introducing the classes of parallelprocessing a brief review of architectures for parallel image processing is presented. Software design for low-level image processing and parallelism in high-level image processing are discussed and an application of parallelprocessing to handwritten postcode recognition is described. the paper concludes with a look at future technology and market trends.
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