multi-CPU, multi-core and hyper-thread--转
原文地址:http://stackoverflow.com/questions/680684/multi-cpu-multi-core-and-hyper-thread
Multi-CPU was the first version: You'd have one or more mainboards with one or more CPU chips on them. The main problem here was that the CPUs would have to expose some of their internal data to the other CPU so they wouldn't get in their way.
The next step was hyper-threading. One chip on the mainboard but it had some parts twice internally so it could execute two instructions at the same time.
The current development is multi-core. It's basically the original idea (several complete CPUs) but in a single chip. The advantage: Chip designers can easily put the additional wires for the sync signals into the chip (instead of having to route them out on a pin, then over the crowded mainboard and up into a second chip).
Super computers today are multi-cpu, multi-core: They have lots of mainboards with usually 2-4 CPUs on them, each CPU is multi-core and each has its own RAM.
[EDIT] You got that pretty much right. Just a few minor points:
Hyper-threading duplicates internal resources to reduce context switch time. Resources can be: Registers, arithmetic unit (so you can do several integer or even floating point calculations simultanously; or you can do an add and a multiply at the same time but not add and subtract), cache.
The main problem with multi-CPU is that code running on them will eventually access the RAM. There are N CPUs but only one bus to access the RAM. So you must have some hardware which makes sure that a) each CPU gets a fair amount of RAM access, b) that accesses to the same part of the RAM don't cause problems and c) most importantly, that CPU 2 will be notified when CPU 1 writes to some memory address which CPU 2 has in its internal cache. If that doesn't happen, CPU 2 will happily use the cached value, oblivious to the fact that it is outdated
Just imagine you have tasks in a list and you want to spread them to all available CPUs. So CPU 1 will fetch the first element from the list and update the pointers. CPU 2 will do the same. For efficiency reasons, both CPUs will not only copy the few bytes into the cache but a whole "cache line" (whatever that may be). The assumption is that, when you read byte X, you'll soon read X+1, too.
Now both CPUs have a copy of the memory in their cache. CPU 1 will then fetch the next item from the list. Without cache sync, it won't have noticed that CPU 2 has changed the list, too, and it will start to work on the same item as CPU 2.
This is what effectively makes multi-CPU so complicated. Side effects of this can lead to a performance which is worse than what you'd get if the whole code ran only on a single CPU. The solution was multi-core: You can easily add as many wires as you need to synchronize the caches; you could even copy data from one cache to another (updating parts of a cache line without having to flush and reload it), etc. Or the cache logic could make sure that all CPUs get the same cache line when they access the same part of real RAM, simply blocking CPU 2 for a few nanoseconds until CPU 1 has made its changes.
[EDIT2] The main reason why multi-core is simpler than multi-cpu is that on a mainboard, you simply can't run all wires between the two chips which you'd need to make sync effective. Plus a signal only travels 30cm/ns tops (speed of light; in a wire, you usually have much less). And don't forget that, on a multi-layer mainboard, signals start to influence each other (crosstalk). We like to think that 0 is 0V and 1 is 5V but in reality, "0" is something between -0.5V (overdrive when dropping a line from 1->0) and .5V and "1" is anything above 0.8V.
If you have everything inside of a single chip, signals run much faster and you can have as many as you like (well, almost :). Also, signal crosstalk is much easier to control.
multi-CPU, multi-core and hyper-thread--转的更多相关文章
- physical CPU vs logical CPU vs Core vs Thread vs Socket(翻译)
原文地址: http://www.daniloaz.com/en/differences-between-physical-cpu-vs-logical-cpu-vs-core-vs-thread-v ...
- python multi process multi thread
muti thread: python threading: https://docs.python.org/2/library/threading.html#thread-objects https ...
- How to set an Apache Kafka multi node – multi broker cluster【z】
Set a multi node Apache ZooKeeper cluster On every node of the cluster add the following lines to th ...
- POJ 3469 Dual Core CPU Dual Core CPU
Time Limit: 15000MS Memory Limit: 131072K Total Submissions: 23780 Accepted: 10338 Case Time Lim ...
- am335x using brctl iptables dhcpcd make multi wan & multi lan network(十五)
构建多LAN口多WAN口动态网络 [目的] 在AM335X定制动态网络功能,如下所示,在系统当中有两个以太网口,有4G模块,有wifi芯片8188eu支持AP+STA功能. [实验环境] 1. Ub ...
- intel 82599网卡(ixgbe系列)术语表
Intel® 82599 10 GbE Controller Datasheet 15.0 Glossary and Acronyms 术语表 缩写 英文解释 中文解释 1 KB A value of ...
- Thread.Sleep(0)的意义 操作系统中CPU的竞争策略
在线程的学习中遇到的 不太明白就搜了一下 有一篇觉得写得很好的分享一下 转载:http://www.360doc.com/content/12/1220/07/1054746_255212714.s ...
- OpenRisc-37-OpenRISC的CPU&core的整体架构分析
引言 前面我们分析了ORPSoC的整体架构,并对其子系统进行了深入的分析和了解.但对于ORPSoC的核心模块or1200_top及其内部的core--or1200_cpu模块却鲜有涉及,算是ORPSo ...
- redis multi exec
multi(),返回一个redis对象,并进入multi-mode模式,一旦进入multi-mode模式,以后调用的所有方法都会返回相同的对象,直到exec()方法被调用. phpredis是php的 ...
- CPU:chip、core 和 processor 的关系
# 查看物理CPU个数 (chip) 物理cpu数:主板上实际插入的cpu数量,可以数不重复的 physical id 有几个(physical id)cat /proc/cpuinfo| gr ...
随机推荐
- SQL Server 内存中OLTP内部机制概述(四)
----------------------------我是分割线------------------------------- 本文翻译自微软白皮书<SQL Server In-Memory ...
- Javacript和AngularJS中的Promises
promise是Javascript异步编程很好的解决方案.对于一个异步方法,执行一个回调函数. 比如页面调用google地图的api时就使用到了promise. function success(p ...
- 如何向Openstack社区提交一个新项目
前几天有个朋友问我:自己有一个idea不错的项目,也把基本的框架写好了,想贡献到Openstack社区,却不知道应该怎么做.正好之前我有过类似的经历,那么来分享一下我是如何向Openstack社区提交 ...
- Android 图片的裁剪与相机调用
有时候我们需要的图片并不适合我们想要的大小, 那么我们就可以用到系统自带的图片裁剪功能, 把规定范围的图像给剪出来. 贴上部分代码: //调用图库 Intent intent = new Intent ...
- [AY技术分享]WPF AYUI的高大上日历代码
看到这里,也谢谢大家关注了AYUI 这次讲的是AY最近没事开发的AyDatePicker,先看效果图 SelectMode=DateTime模式 SelectMode=OnlySelectDate模式 ...
- 参数传递的四种形式----- URL,超链接,js,form表单
什么时候用GET, 查,删, 什么时候用POST,增,改 (特列:登陆用Post,因为不能让用户名和密码显示在URL上) 4种get传参方式 <html xmlns="http:/ ...
- 好老板VS坏老板
以下是漫画图解: 现在大家应该都能做出正确的判断了吧? 那90后的员工碰上70后的老板又会如何呢? 过去30多年来,基于资源禀赋.行政区划及产业政策等,形成了不同城市发展格局,接下来十年中国经济结构调 ...
- likwid工具尝鲜
likwid: like I knew what I am doing. 是一系列工具的集合,用于针对多线程程序的指标分析,方便程序员进行性能调优工作.可以深入到控制cpu等硬件的频率. 主要包括以下 ...
- R语言之中文分词:实例
一.说明 网上提供的一个例子,做了修改与订正. 二.程序 #调入分词的库 library("rJava") library("Rwordseg") #调入绘制词 ...
- 【Cocos2d-Js基础教学(5)资源打包工具的使用及资源的异步加载处理】
TexturePacker是纹理资源打包工具,支持Cocos2dx的游戏资源打包. 如果用过的同学可以直接看下面的资源的异步加载处理 首先为什么用TexturePacker? 1,节省图片资源实际大小 ...