What Does The Cpu Do When Processing Data

Last year in the investigation of a lot of java applications, see some of the phenomenon is the programmer to run on their own environment to read the program rarely lead to troubleshooting problems will be more frustrating, so think of writing this series of articles, procedures To provide functionality to end-users, the code is only one part of it, and it needs to be relied on for jvm, os, server hardware, networking, load balancing, etc. In this series of articles, Several parts, more is only a science role, because os I use are linux, this series ...

About the hardware and software who is leading this topic, apply a proverb is 30 years Hedong 30 years of Hexi, the wind turbine flow. Software and hardware must be mutually reinforcing, mutually reinforcing and mutually reinforcing. Some of the top-tier structures that were previously criticized may be found to be the most appropriate option in a few years ' time, and will become inappropriate in a few years. Software definition or hardware definition, the same is true, the result of the hardware definition is strong but not flexible, the software definition will begin to brew a comeback, but everything has inertia, software "excessive" definition, will find a lot of things can not be ...

"Tenkine Office channel November 19 News" The glorious era of the Intel 32 nanometer process processor has led many people to daydream about the application of the CPU in the big Data age, Huang, 32 nm first Daicouri processor and second-generation core processor to introduce core graphics and hyper-Threading technology, Core-frequency technology and so on for Intel in the CPU manufacturing industry has laid a solid foundation. At present, a few 22 nm processors in the market want to make a breakthrough in the process architecture, who will be the market leader in the next era? 　　"Xeon" or "Core I Series"? First, the author ...

Enterprise users ' demand for high-performance security products is increasing.     The root cause of this phenomenon is that with the continuous development of http://www.aliyun.com/zixun/aggregation/12311.html > Network technology, the network speed is increasing, the daily business operation of enterprise users is becoming more and more dependent on the network. At the same time, information security technology is gradually changing-from simple network exchange security technology to more complex network should ...

In recent years, with the emergence of new forms of information, represented by social networking sites, location-based services, and the rapid development of cloud computing, mobile and IoT technologies, ubiquitous mobile, wireless sensors and other devices are generating data at all times, Hundreds of millions of users of Internet services are always generating data interaction, the big Data era has come. In the present, large data is hot, whether it is business or individuals are talking about or engaged in large data-related topics and business, we create large data is also surrounded by the big data age. Although the market prospect of big data makes people ...

MapReduce: Simple data processing on large cluster

More and more enterprises are using Hadoop to process large data, but the overall performance of the Hadoop cluster depends on the performance balance between CPU, memory, network and storage. 　　In this article, we will explore how to build a high-performance network for the Hadoop cluster, which is the key to processing analysis of large data. As for Hadoop "Big Data" is a loose set of data, the growing volume of data is forcing companies to manage in a new way. Large data is a large set of structured or unstructured data types ...

This article will explain why thread based programming is not the best way to implement application parallelism in a multi-core era. Moore's Law (Moore 1965 predicts that the number of components per integrated circuit doubles every 18-24 months) is still applicable, and its applicability is expected to continue into 2015-2020 years. Before 2005, the CPU clock rate also increased synchronously, which was enough to improve the performance of all applications executing on those CPUs. Http://www.aliyun.co ...

MapReduce has adopted a solution that is almost entirely different from the traditional http://www.aliyun.com/zixun/aggregation/14345.html "> Data processing Mode" in dealing with large data problems. It completes by running the tasks that need to be handled in parallel on multiple commercial computer nodes in the cluster. MapReduce has a number of basic theoretical ideas in the realization of large data processing, although these basic theories and even implementation methods are not necessarily map ...

For large data, the serial processing method is difficult to meet people's requirements, and now mainly uses parallel computing. The existing parallel computing can be divided into two kinds: fine-grained parallel computation. Here the fine granularity is mainly the instruction or process level, because the GPU has more parallel processing power than the CPU, people put some tasks to the GPU parallel processing, some GPU manufacturers also introduced a user-friendly programming model, such as Nvidia launched the Cuda and so on. • Parallel computation of coarse granularity. Here the coarse granularity refers to the term ...