本刊以七大战略性新兴产业——节能环保、新一代信息技术、生物、高端装备制造、新能源、新材料、新能源汽车为研究重点，关注国家高层和各部委的动态，剖析国家和地方的新兴产业政策。本刊设有政策导读、领导讲话、七大战略性新兴产业本周国内外行业动态和重点企业新闻、投资专题四大板块，能够实时监测新兴产业和重点企业动态，把握新兴产业发展方向，研究发展重点，寻求发展机遇。

关键词：节能环保；新一代信息技术；生物；高端装备制造；新能源；新材料；新能源汽车

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物联网产业是指涉及数据采集、传感器网络组网和协同信息处理、网络通信、智能处理、系统集成、信息安全等各种活动的集合，涵盖传感器芯片、微能源等核心基础产业，传感器、射频识别（RFID）为主的感知制造业，通信网络设备制造、传感器网络设备制造以及机器到机器（M2M）网络设备制造等为主的基础网络制造业，和提供网络传输、信息处理以及运营服务等的应用服务业等。

关键词：物联网；产业资讯；动态监测

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城镇化是当前经济转型中的热门话题。金融学家巴曙松指出，以城市群为载体，以人为核心的城镇化会为下一阶段房地产行业的发展提供平台。中国制造向中国品牌成功转型的关键是什么？里斯伙伴中国公司总经理张云认为，中国企业的经营模式能否实现从产品贸易向品牌经营的转变，对于定位理论的掌握和运用将是至关重要的。高成长性的互联网产业吸引着资本的眼球。不仅是互联网三大巨头，很多传统媒体公司也尝到了收购互联网企业的甜头。并购浪潮会更加剧烈，阿里巴巴、腾讯、百度三大巨头给创业者和VC创造了更多的机会。

关键词：城镇化；中国制造；互联网产业

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物联网产业是指涉及数据采集、传感器网络组网和协同信息处理、网络通信、智能处理、系统集成、信息安全等各种活动的集合，涵盖传感器芯片、微能源等核心基础产业，传感器、射频识别（RFID）为主的感知制造业，通信网络设备制造、传感器网络设备制造以及机器到机器（M2M）网络设备制造等为主的基础网络制造业，和提供网络传输、信息处理以及运营服务等的应用服务业等。

关键词：物联网；产业资讯；动态监测

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本刊以七大战略性新兴产业——节能环保、新一代信息技术、生物、高端装备制造、新能源、新材料、新能源汽车为研究重点，关注国家高层和各部委的动态，剖析国家和地方的新兴产业政策。本刊设有政策导读、领导讲话、七大战略性新兴产业本周国内外行业动态和重点企业新闻、投资专题四大板块，能够实时监测新兴产业和重点企业动态，把握新兴产业发展方向，研究发展重点，寻求发展机遇。

关键词：节能环保；新一代信息技术；生物；高端装备制造；新能源；新材料；新能源汽车

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Within the past few years, organizations in diverse indus- tries have adopted MapReduce-based systems for large-scale data processing. Along with these new users, important new workloads have emerged which feature many small, short,and increasingly interactive jobs in addition to the large, long-running batch jobs for which MapReduce was originally designed. As interactive, large-scale query processing (e.g.,OLAP) is a strength of the RDBMS community, it is impor- tant that lessons from that eld be carried over and applied where possible in this new domain. However, these new workloads have not yet been described in the literature. We ll this gap with an empirical analysis of MapReduce traces from six separate business-critical deployments inside Face-book and at Cloudera customers in e-commerce, telecommu-nications, media, and retail. Our key contribution is a char- acterization of new MapReduce workloads which are driven in part by interactive analysis, and which make heavy use of SQL-like programming frameworks on top of MapReduce.These workloads display diverse behaviors which invalidate prior assumptions about MapReduce such as uniform data access, regular diurnal patterns, and prevalence of large jobs.A secondary contribution is a rst step towards creating a TPC-like data processing benchmark for MapReduce.

关键词：数据处理；工作负载；查询处理；昼夜模式

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In this note we obtain communication cost lower and upper bounds on the algo-rithms for LU and QR given in (Demmel, Dumitriu, and Holtz 2007). The algorithmsthere use fast, stable matrix multiplication as a subroutine and are shown to be asstable and as computationally effcient as the matrix multiplication subroutine. Weshow here that they are also as communication-effcient (in the sequential, two-level memory model) as the matrix multiplication algorithm. The analysis for LU and QRextends to all the algorithms in (Demmel, Dumitriu, and Holtz 2007). Further, weprove that in the case of using Strassen-like matrix multiplication, these algorithmsare communication optimal.

关键词：沟通成本；矩阵乘法；内存模型

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关键词：决策；参数分布；概率分布；不确定性

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Parallel matrix multiplication is one of the most studied fundamental problems in distributed and high performance computing.We obtain a new parallel algorithm that is based on Strassen's fast matrix multiplication and minimizes communication.The algorithm outperforms all known parallel matrix multiplication algorithms, classical and Strassen-based, both asymptotically and in practice.

关键词：并行矩阵乘法；Strassen；分布式和高性能计算问题

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We present a simple but accurate parser which exploits both large tree fragments and symbol refinement. We parse with all fragments of the training set, in contrast to much recent work on tree selection in data-oriented parsing and tree-substitution grammar learning. We require only simple, deterministic grammar symbol refinement, in contrast to recent work on latent symbol refinement. Moreover, our parser requires no explicit lexicon machinery, instead parsing input sentences as character streams. Despite its simplicity, our parser achieves accuracies of over 88% F1 on the standard English WSJ task, which is competitive with substantially more complicated state-of-the-art lexicalized and latent-variable parsers. Additional specific contributions center on making implicit all-fragments parsing efficient, including a coarse-to-fine inference scheme and a new graph encoding.

关键词：解析器；语法学习；隐式中心

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