空格 发表于 2025-3-21 19:01:48

书目名称Conquering Big Data with High Performance Computing影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0235648<br><br>        <br><br>书目名称Conquering Big Data with High Performance Computing影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0235648<br><br>        <br><br>书目名称Conquering Big Data with High Performance Computing网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0235648<br><br>        <br><br>书目名称Conquering Big Data with High Performance Computing网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0235648<br><br>        <br><br>书目名称Conquering Big Data with High Performance Computing被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0235648<br><br>        <br><br>书目名称Conquering Big Data with High Performance Computing被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0235648<br><br>        <br><br>书目名称Conquering Big Data with High Performance Computing年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0235648<br><br>        <br><br>书目名称Conquering Big Data with High Performance Computing年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0235648<br><br>        <br><br>书目名称Conquering Big Data with High Performance Computing读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0235648<br><br>        <br><br>书目名称Conquering Big Data with High Performance Computing读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0235648<br><br>        <br><br>

mitten 发表于 2025-3-21 23:06:42

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Muscularis 发表于 2025-3-22 00:32:00

Data Movement in Data-Intensive High Performance Computing,, two key metrics that determine the cost of moving data, have degraded significantly relative to processor cycle time and execution rate. Despite the limitation of sub-micron processor technology and the end of Dennard scaling, this trend will continue in the short-term making data movement a perfo

FLING 发表于 2025-3-22 07:39:48

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agnostic 发表于 2025-3-22 08:42:56

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BROTH 发表于 2025-3-22 13:23:28

Big Data Behind Big Data, large. In this chapter, we will examine two aspects of High Performance Computing (HPC) data that fall under the category of big data. The first is the collection of HPC environmental data and its analysis. The second is the collection of information on how large datasets are produced by scientific

BROTH 发表于 2025-3-22 20:20:52

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LAY 发表于 2025-3-22 22:01:18

Big Data Techniques as a Solution to Theory Problems,description of this approach as well as some examples. This approach is ideally suited for solving nonconvex optimization problems, multiobjective programming problems, models with a large degree of heterogeneity, rich policy structure, potential model uncertainty, and potential policy objective unc

傲慢人 发表于 2025-3-23 03:19:20

High-Frequency Financial Statistics Through High-Performance Computing,ion of securities and derivatives, and various business and economic analytics. Portfolio allocation is one of the most important problems in financial risk management. One most challenging part in portfolio allocation is the tremendous amount of data and the optimization procedures that require com

notice 发表于 2025-3-23 05:49:17

Large-Scale Multi-Modal Data Exploration with Human in the Loop,multi-modal data streams. In this chapter we present a research framework for analyzing and mining such data streams at large-scale; we exploit parallel sequential pattern mining and iterative MapReduce in particular to enable human-in-the-loop large-scale data exploration powered by High Performanc
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查看完整版本: Titlebook: Conquering Big Data with High Performance Computing; Ritu Arora Book 2016 Springer International Publishing Switzerland 2016 Big data.High