For resolving the problem of speed up, dynamic loaded balance and fault-tolerance for Large Scale Data Parallel computing in Grid that composed of Computer Clusters, a Data Parallel Computing Grid Model based dynamic redundancy was discussed.
在由多个普通计算机群构成的网格环境下,为了解决大规模数据并行型计算加速比问题、容错问题和动态负载均衡问题,提出了一个基于动态冗余机制的数据并行型网格模型(Data Parallel Computing Grid Model based dynamic redundancy)。
A study on a multi_point remote large scale data acquisition system
The new method is used to classify the complex XOR problem,Iris and Appendicitis data,and the experimental results show that the new method can obtain better recognition results for the complex pattern classification of large scale data,and the trainning time is shorter than that by using the support vector machine method only.
Secondly, we explain why telecom companies need to analyse so large scale data; then we describe the new large scale telecom data analysis operation mode based on P2P detailedly, and how to apply it to other unit through telecom companies.
Study the tablespace backup, take the comprehensive advantage of the physics backup and the logic backup, implement high-speed backup of large scale data.
This paper shows system of large scale data cofletion and monitor base on WEB which use AT89C51 and Ethernet cotroller RTL8019AS and show the collected data in every WEB browse through WEB server.
Experiments have been done on Okapi system using large scale data sets of TREC11, TREC10 and TREC9 web track collections, each of which is more than 10GB. Results show that by dynamic parameter learning, the system always gets or approaches the best retrieval performance.
Hierarchical parallel processing of large scale data clustering on a PC cluster with GPU co-processing
The proposed I-DG technique uses an appropriate IP multicasting protocol as the base and addresses the problems, such as key distribution and subscription, introduced by large scale data dissemination.
Computational Biology or Bioinformatics has been defined as the application of mathematical and Computer Science methods to solving problems in Molecular Biology that require large scale data, computation, and analysis [26].
Recent technological advances now allowing both large scale data generation and its in-depth analysis have opened new avenues to identify and target genes involved in neoplastic transformation and tumor progression.
The analysis, largely involving computation, appears applicable to large scale data-bank analysis and prediction of protein functions.
The design and sealization of data processing system in agroclimatic classification are presented.The problems of ensuring the correctness of data in large-scale data processing,controlling different report printing formats by parametric combination. and responding to probabilistic function request etc.are discussed.
An approach which improving data structure and optimizing software is presented, which combined with some advanced functions of FORTRAN77, based on the principle of block parallel processing in hardware FFT, In this way, the large scale data Fourier Transform can be implemented on the mini-or micro-computers.
In the paper, a survey of computer applications in the field of nuclear electronics arid nuclear detection technology are given.Brief discussions on the technical progress in nuclear spectum data acqu isition systems, computerized tomography and large scale data acquisition and processing systems are made. This paper also gives a review on the trends in computer application techniques.
large scale data
大规模数据
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