Abstract CUDA is a parallel computing architecture introduced by NVIDIA, it mainly used for large scale data-intensive computing.
摘要CUDA是一种由NVIDIA推出的并行计算架构，非常适合大规模数据密集型计算。
Traditional Support Vector Machine (SVM), which based on batch training, can't satisfy the real-time requirement of environmental pollution prediction with large scale data.
传统支持向量机基于批量训练方法，无法适应环境污染预测中的海量数据与实时性要求。
To efficiently resolve outlier detection problem in large scale data sets, an efficient outlier detection algorithm based on Support Vector Data Description (SVDD) was proposed.
为了解决大规模数据中的异常检测问题，提出了基于支持向量数据描述（SVDD）的高效离群数据检测算法。
The problem of data sorting is still the research focus since computers have been used to process the large scale data information.
自从计算机被用来进行大规模的数据处理，数据序列的排序问题便一直成为研究的热点。
Collection of biological data points require simple to complex analysis of small, medium and large scale data describing cell structures and events.
生物学数据点的收集需要描述细胞结构和事件的小、中、大规模数据的从简单到复杂的分析。
The results showed that our algorithm has a great superiority in both computing time and space, and consequently a stronger adaptability and operability for large scale data sets.
实验结果表明：本文算法在计算时间和空间上具有一定的比较优势，对大规模数据集具有较强的可扩展性。
The best-known is Hadoop, a large-scale data storage approach being used by a growing number of businesses.
最为著名的是Hadoop，被数目不断增长的商业机构使用的一种大型数据储存方式。
Precision Medicine relies on advent medical imaging technique, fusion of multi-modality medical imaging and information, and large-scale data mining on medical cases.
医学成像新技术、多模态医学成像的图像与信息融合、大数据病例的挖掘，是实现临床精准医疗的重要工程基础。
The geostationary meteorological satellite ground application system is a main system with high speed communication, large-scale data processing, product service giving, and mass data storage.
静止气象卫星地面应用系统是一个具有高速通信、大规模数据处理、高时效产品服务、海量数据存储功能的大型业务应用系统。
This algorithm does not have to standardize the data, uses a kind of global criterion function based on the statistical histogram to depict clusters, specially is suitable for the large-scale data.
该算法不需标准化数据，应用一种基于统计直方图的全局准则函数进行聚类，特别适用于大规模数据。
One way to think about R is that it's an efficient, flexible tool for managing, summarizing, and exploiting large-scale data.
应该认识到 R是一个可以管理、总结和利用大规模数据的有效而灵活的工具。
The answer, according to PwC, is Semantic Web techniques. PwC believes that the Semantic Web offers a practical way to address the problem of large-scale data integration.
根据普华永道的报告，问题的答案是语义网技术，普华永道相信，语义网为解决大规模的数据整合问题提供了一种实际可行的方法。
High performance computer technology is the base of the modern scientific and technological researches, engineering development and large-scale data processing.
高性能计算机技术是现代科学技术研究、工程技术开发和大规模数据处理的基础。
Advances in mass spectrometry-driven proteomics rely on robust bioinformatics tools that enable large-scale data analysis.
质谱驱动的蛋白质组学的进展依赖于使得大规模数据分析成为可能的鲁棒的生物信息学工具。
Since its introduction in 1984, GAUSS has been a standard for serious number crunching and complex modeling of large-scale data.
从1984年推广使用以来，Gauss也成为大规模数据处理和复杂建模的标准。
Cluster storage is an important solution to large-scale data storage systems.
集群存储是解决大规模数据存储的重要方法。
Based on the major problems of FCM, the modification methods are put forward, and the large-scale data experiments test and analyze the improvement effects of different modification methods.
针对FCM的主要问题，从不同的角度提出了改进的方法，并通过大规模的实验数据测试分析了不同方法的改进效果。
It's a challenging problem to improve the scalability, adaptability and performance of replica location service in large-scale data grids.
如何提高副本定位服务的可扩展性和自适应性，是大规模数据网格系统面临的重要难题。
Finally, a network-oriented large-scale data volume rendering system framework is introduced to resolve large-scale data storage, network transmission and high-quality fast rendering.
最后，针对大规模数据存储、网络传输和高质量快速绘制等问题，给出了一个面向网络传输的大规模数据体绘制系统框架。
Data Grid is the distributed management of large-scale data and the infrastructure analysis; it has implemented uniform storage, management, access and transmission of distributed, heterogeneous data.
数据网格是海量数据分布式管理和分析的基础设施，它实现了分布、异构空间数据的统一存储、管理、访问和传输。
Support for Dryad (large scale, data-intensive parallel programming) (soon).
支持Dryad(大伸缩量，数据密集型的并行计算)(即将提供)。
Large-scale data acquisition may bring the danger of congestion in the condition of limited hardware limits, cause large consumptions of nodes or even network paralysis.
在有限的硬件条件下，大规模数据采集易使网络产生拥塞现象，并造成节点能耗大幅度增加，严重时会造成网络的瘫痪。
2013-2016, Privacy Protection Model and Its Core Techniques for Sharing Large-scale Data, China 973 Program, Co-PI.
大规模数据共享的隐私保护模型与关键技术研究，973前期研究专项， 2013-2016，参与。
2013-2016, Privacy Protection Model and Its Core Techniques for Sharing Large-scale Data, China 973 Program, Co-PI.
大规模数据共享的隐私保护模型与关键技术研究，973前期研究专项， 2013-2016，参与。
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