[PDF] Top 20 A Model for Scientific Workflows with Parallel and Distributed Computing
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A Model for Scientific Workflows with Parallel and Distributed Computing
... Fb1 and Fb2 activities that are running separately without any knowledge about the number of tokens sent by the Fa activity to each of the down- stream Fb, Fb1 and Fb2 ...Fb1 and Fb2 load balancing ... See full document
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Conillon: distributed computing platform for desktop grids
... simple and ecient architecture proved to be perfor- mant, scalable and easy to ...start with little user eort and the Conillon programming model is easy to learn, straightforward, ... See full document
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A distributed computing approach to improve the performance of the Parallel Ocean Program (v2.1)
... programming model (Nvidia, 2013) in or- der to have fine-grained control over our GPU implemen- tation and to be able to explain and improve performance ...tools, and compilers aim to assist ... See full document
15
A Distributed Memory Implementation of the Regional Atmospheric Model PROMES
... meteorology with experts in high performance computing, included in the program of High Performance Computing and Communi- cations (HPCC), in a more ambitious program such as the Computer ... See full document
7
A Distributed Platform for the Volunteer Execution of Workflows on a Local Area Network
... Volunteer Computing (VC) is a type of distributed computing in which computer owners ...their computing resources, such as idle CPU cycles, storage and Internet bandwidth, for ... See full document
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Enabling big geoscience data analytics with a cloud-based, MapReduce-enabled and service-oriented workflow framework.
... Scientific workflows normally require a collection of software components such as tools, libraries, programs, models, and applications, and these components are developed at different times by ... See full document
23
Exploring Strategies for Parallel Computing of RS Data Assimilation with SWAP-GA
... simulation model is useful for agriculture ...such model is parameter identification, especially when the target area is large such as provincial or country ...us with useful information over large ... See full document
4
Experiences with distributed computing for meteorological applications: grid computing and cloud computing
... use distributed computing resources, we make use of a so-called middleware ...the Distributed and Parallel Systems group in Innsbruck, provides integrated environments to support the ... See full document
12
A Parallel Computing Hybrid Approach for Feature Selection
... consuming, and impracticable to use on high dimensional ...space and then adopt a wrapper mechanism to select the final ...branch and bound ... See full document
108
Fault-Free Vertex-Pancyclicity in Twisted Cubes with Faulty Edges
... E(G), and a relation that associates with each edge two vertices called its endpoints ...network with many attractive properties such as regularity, symmetry, small diameter, strong connectivity, ... See full document
6
Distributed Computing in a Cloud of Mobile Phones
... developed with our framework can have multiple Services and is able to use Services developed for other ...application, and an application to find missing ...Service and share the same ... See full document
110
Research on Distributed Software Testing Platform Based on Cloud Resource
... large-scale distributed software testing , CBDSTP( Cloud-Based Distributed Software Testing Platform) is put ...integration and automation of testing for large software systems, which can make full ... See full document
9
System Diagnosis and Fault Tolerance for Distributed Computing System: A Review
... a distributed system and this can be achieved by clock synchronization ...economical and flexible but additional message must be exchanged solely for ...synchronization with minimal time ... See full document
12
An experience in building a parallel and distributed problem-solving environment
... complexity and heterogeneity of modern computer applications, it is often necessary to subdivide them in multiple subproblems, each possibly solved by GA or other technique, such as Neural Networks, an expert ... See full document
5
Validating a spatially distributed hydrological model with soil morphology data
... CH with a tipping bucket rain gauge: HP 100, Lufft GmbH, Fellbach ...temperature and rela- tive humidity (Hygromer MP 100A, rotronic AG, Bassersdorf CH), wind speed (A100R switching anemometer, Campbell ... See full document
46
Computing Optimal Cycle Mean in Parallel on CUDA
... vertices and 400 thousand edges to approxi- mately 2 million vertices and 25 million ...YTO and the sequential Howard’s algorithm struggle with preserving their running times as the graphs ... See full document
16
A framework for the development of parallel and distributed real-time embedded systems
... Sorted multi-dimensional array containing the switch delays SDx when a message crosses a switch on the network Subset of jobs that participated to the WCRT of a thread θi, j,k , includin[r] ... See full document
180
Parallel-META 2.0: enhanced metagenomic data analysis with functional annotation, high performance computing and advanced visualization.
... [1], and the genomes of these vastly unknown microbes might contain a large number of novel genes with very important ...isolation and cultivation process ...research and health care, have ... See full document
13
Big Data in High Performance Scientific Computing
... Jun Zhang et all, in [10], found that increasing the number of applications for large data, as web search engines, shall have a high full time tracking availability, storage and analysis of a large number of ... See full document
10
IGCM4: a fast, parallel and flexible intermediate climate model
... deals with the direct ef- fect, and not the different indirect effects such as cloud lifetime and particle size that are also present in ...tropospheric and strato- spheric aerosols have been ... See full document
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