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Parallel computing

TítuloHigh Performance Java Remote Method Invocation for Parallel Computing on Clusters

TítuloHigh Performance Java Remote Method Invocation for Parallel Computing on Clusters

... is parallel computing, where the performance is a key ...formance parallel applications, the most common architec- ture is the cluster, as it delivers outstanding parallel perfor- mance at a ...

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Estudio del toolbox “Parallel Computing” de matlab®  Aplicación a métodos de procesado de señal

Estudio del toolbox “Parallel Computing” de matlab® Aplicación a métodos de procesado de señal

... Parallel Computing Toolbox nos permite resolver programas con una gran carga computacional usando procesadores multicore, unidades de procesamiento gráfico (GPU, Graphics Processing Unit) y ...(grid ...

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Using parallel computing for seismo-volcanic event location based on seismic amplitudes

Using parallel computing for seismo-volcanic event location based on seismic amplitudes

... Abstract—Volcanoes are very complex geophysical systems where fluids of different nature interact with porous rock at different physical conditions and within a complex matrix of conduits. Two types of seismicity are ...

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TítuloA simulated annealing algorithm for zoning in planning using parallel computing

TítuloA simulated annealing algorithm for zoning in planning using parallel computing

... Nowadays, multicore systems bring about the need for new parallel algo- rithms and for the parallelization of existing solutions to compute intensive applications. Shared memory programming is the model that suits ...

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Performance Evaluation of Parallel Computing on Agent-Based Models: The Minority Game Case

Performance Evaluation of Parallel Computing on Agent-Based Models: The Minority Game Case

... In order to study performances for large-scale instances, we fix, in turns, the number of workers in 5, 8 and 10 with 1000000 rounds of 10000 agents, varying the memory m between 5 and 10, as shown in Table . ...

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Using OpenMP: Portable Shared Memory Parallel Programming . Barbara Chapman, Gabriele Jost, Ruud van der Pas The MIT Press, 2008

Using OpenMP: Portable Shared Memory Parallel Programming . Barbara Chapman, Gabriele Jost, Ruud van der Pas The MIT Press, 2008

... Parallel computing is no longer something reserved for the area scientific applications or high performance ...be parallel at least in multiprocessors, since there is no other way to get better final ...

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Computational methods and parallel strategies in dynamic decision making

Computational methods and parallel strategies in dynamic decision making

... using parallel computing to improve the performance of the algorithms derived designing policies for perishable lot sizing problems; (3) to explore how effective heuristics can be for dynamic decision ...

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Performance of scientific processing in networks of workstations: matrix multiplication example

Performance of scientific processing in networks of workstations: matrix multiplication example

... for parallel computing are not shared memory architectures, and implementations of divide-and-conquer and recursive algorithms are far from optimal in networks of ...

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A fault tolerance protocol for parallel applications with communication imbalance

A fault tolerance protocol for parallel applications with communication imbalance

... An important drawback of message logging is the increase in memory pressure due to the message log. Message logging may not be practical for an application sending large messages with high frequency, since the total ...

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Implementación eficiente de redes neuronales autoorganizadas en CUDA C/C++.

Implementación eficiente de redes neuronales autoorganizadas en CUDA C/C++.

... En el caso de Matlab, el primer enfoque fue la de utilizar el SOM incluido en el Neural Network Toolbox ejecutado de forma paralela con el Para- llel Computing Toolbox. Este acercamiento tiene dos problemas desde ...

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Parallel approaches to shortest path problems for multilevel heterogeneous computing

Parallel approaches to shortest path problems for multilevel heterogeneous computing

... efficient parallel computing. Additionally, the advent of new parallel programming models together with modern powerful hardware accelerators, such as the Graphics Processing Units or the many-core ...

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Bermúdez, M  V , Hidalgo, J , Vera, M  D  P  A , & Jaramillo, A  S  (2019)  Análisis AHP de proveedores de servicio de cloud computing para organizaciones de educación superior en el Ecuador  Revista de Investigación en Tecnologías de la Información: RITI

Bermúdez, M V , Hidalgo, J , Vera, M D P A , & Jaramillo, A S (2019) Análisis AHP de proveedores de servicio de cloud computing para organizaciones de educación superior en el Ecuador Revista de Investigación en Tecnologías de la Información: RITI, 7(14), 151 162

... Cloud Computing se basa en una serie de tecnologías existentes, por ejemplo, Internet, virtualización, Grid Computing, servicios web entre ...Cloud Computing se ha reflejado en soluciones de ...

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Scalable Molecular Dynamics on High-Performance Multi-GPU Systems

Scalable Molecular Dynamics on High-Performance Multi-GPU Systems

... a parallel scalable molecular dynamics algorithm for both on-board and distributed multi-GPU architectures, by using GPUs as indepen- dent computing ...sively parallel algorithms to update and ...

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TítuloCharacterization of message passing overhead on the AP3000 multicomputer

TítuloCharacterization of message passing overhead on the AP3000 multicomputer

... our parallel machine consists of 20 processors (UltraSparc-II at 300 Mhz), but only a maximum of a 12-processor partition can be accessed to execute pa- rallel ...

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Fast GPU audio identification

Fast GPU audio identification

... the computing of a very dense audio fingerprint, able to stand stable under noise, re-recording, low-pass filtering, ...massive parallel architecture based on the Graphics Processing Unit (GPU) with the ...

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Parallel & Hybrid Programming

Parallel & Hybrid Programming

... The Jobs we are about to submit to the cluster are no different from those we have been working with so far. They will be MPI programs mainly derived from the matrix multiply application we are using as a benchmark. We ...

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TítuloUPCBLAS: a library for parallel matrix computations in Unified Parallel C

TítuloUPCBLAS: a library for parallel matrix computations in Unified Parallel C

... The main drawback of the message-passing based libraries is that they need an explicit data distribution that increases the effort required to use them. Users are forced to deal with specific structures defined in the ...

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Una propuesta para la incorporación de Cloud Computing en la currícula de grado

Una propuesta para la incorporación de Cloud Computing en la currícula de grado

... Cloud Computing es un modelo de provisión de recursos que está transformando los modos tradicionales de cómo las empresas utilizan y adquieren los recursos de Tecnología de la ...Cloud Computing y propone ...

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CSCW Systems on PvC Environments

CSCW Systems on PvC Environments

... Technical criteria: comprises hardware, software, and network support. Hardware criteria refer to the target machine and I/O devices. Here the requirement for PvC environments is far more pretentious. It needs several ...

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