COMPUTER ORGANIZATION AND ARCHITECTURE DESIGNING FOR PERFORMANCE NINTH EDITION

In this section, we look at some of the general characteristics of and the motivation
for a reduced instruction set architecture. Specific examples will be seen later in
this chapter. We begin with a discussion of motivations for contemporary complex
instruction set architectures.

Why CISC
We have noted the trend to richer instruction sets, which include a larger number
of instructions and more complex instructions. Two principal reasons have moti-
vated this trend: a desire to simplify compilers and a desire to improve performance.
Underlying both of these reasons was the shift to HLLs on the part of programmers;
architects attempted to design machines that provided better support for HLLs.

It is not the intent of this chapter to say that the CISC designers took the
wrong direction. Indeed, because technology continues to evolve and because archi-
tectures exist along a spectrum rather than in two neat categories, a black-and-white
assessment is unlikely ever to emerge. Thus, the comments that follow are simply
meant to point out some of the potential pitfalls in the CISC approach and to pro-
vide some understanding of the motivation of the RISC adherents.

The first of the reasons cited, compiler simplification, seems obvious, but it
is not. The task of the compiler writer is to build a compiler that generates good
(fast, small, fast and small) sequences of machine instructions for HLL programs
(i.e., the compiler views individual HLL statements in the context of surrounding
HLL statements). If there are machine instructions that resemble HLL statements,
this task is simplified. This reasoning has been disputed by the RISC researchers
([HENN82], [RADI83], [PATT82b]). They have found that complex machine
instructions are often hard to exploit because the compiler must find those cases
that exactly fit the construct. The task of optimizing the generated code to mini-
mize code size, reduce instruction execution count, and enhance pipelining is much
more difficult with a complex instruction set. As evidence of this, studies cited
earlier in this chapter indicate that most of the instructions in a compiled program
are the relatively simple ones.

The other major reason cited is the expectation that a CISC will yield smaller,
faster programs. Let us examine both aspects of this assertion: that programs will be
smaller and that they will execute faster.
There are two advantages to smaller programs. First, because the program
takes up less memory, there is a savings in that resource. With memory today being
so inexpensive, this potential advantage is no longer compelling. More important,
smaller programs should improve performance, and this will happen in three ways.
First, fewer instructions means fewer instruction bytes to be fetched. Second, in a
paging environment, smaller programs occupy fewer pages, reducing page faults.
Third, more instructions fit in cache(s).

https://www.kancloud.cn/wintry/python3/742475

CPU体系架构

 

RISC与CISC

Reduced Instruction Set Computer
Complex Instruction Set Computer

RISC(精简指令集计算机)和CISC(复杂指令集计算机)是当前CPU的两种架构。
它们的区别在于不同的CPU设计理念和方法。

早期的CPU全部是CISC架构,它的设计目的是要用最少的机器语言指令来完成所需的计算任务。
比如对于乘法运算,在CISC架构的CPU上,您可能需要这样一条指令:
MUL ADDRA, ADDRB
就可以将ADDRA和ADDRB中的数相乘并将结果储存在ADDRA中。
将ADDRA, ADDRB中的数据读入寄存器,
相乘和将结果写回内存的操作全部依赖于CPU中设计的逻辑来实现。
这种架构会增加CPU结构的复杂性和对CPU工艺的要求,但对于编译器的开发十分有利。
比如上面的例子,C程序中的a*=b就可以直接编译为一条乘法指令。
今天只有Intel及其兼容CPU还在使用CISC架构。


RISC架构要求软件来指定各个操作步骤。
上面的例子如果要在RISC架构上实现,将ADDRA, ADDRB中的数据读入寄存器,相乘和将结果写回内存的操作都必须由软件来实现,
比如:

MOV A, ADDRA;
MOV B, ADDRB;
MUL A, B;
STR ADDRA, A

这种架构可以降低CPU的复杂性以及允许在同样的工艺水平下生产出功能更强大的CPU,但对于编译器的设计有更高的要求。

smaller programs should improve performance RISC(精简指令集计算机)和CISC(复杂指令集计算机)是当前CPU的两种架构 区别示例的更多相关文章

  1. smaller programs should improve performance

    COMPUTER ORGANIZATION AND ARCHITECTURE DESIGNING FOR PERFORMANCE NINTH EDITION In this section, we l ...

  2. RISC精简指令集系统计算机

    特点: 选用使用频率高的简单指令,复杂指令由简单指令组合完成 固定指令长度 只有Load/Store指令访存,其他指令都在寄存器中进行 CPU中寄存器数量多 一定采用指令流水,大部分指令在一个时钟周期 ...

  3. (转) Ensemble Methods for Deep Learning Neural Networks to Reduce Variance and Improve Performance

    Ensemble Methods for Deep Learning Neural Networks to Reduce Variance and Improve Performance 2018-1 ...

  4. ARM 精简指令集与复杂指令集

    什么是ARM,CISC RISC 又是什么   最近苹果公司召开了最新发布会,苹果PC将采用自研的ARM芯片,这将使苹果PC.移动端.平板成为同一个硬件下的系统.而ARM使用的就是CISC精简指令集, ...

  5. improve performance whilemaintaining the functionality of a simpler and more abstract model design of processor hardware

    Computer Systems A Programmer's Perspective Second Edition In this chapter, we take a brief look at ...

  6. 微信小程序——Now you can provide attr "wx:key" for a "wx:for" to improve performance.

    在官方的swiper(滑块视图容器)中demo代码,运行时会出现Now you can provide attr "wx:key" for a "wx:for" ...

  7. Now you can provide attr "wx:key" for a "wx:for" to improve performance. 微信小程序警告

    Now you can provide attr "wx:key" for a "wx:for" to improve performance为警告,不处理不影 ...

  8. 小程序开发-Now you can provide attr "wx:key" for a "wx:for" to improve performance

    Now you can provide attr "wx:key" for a "wx:for" to improve performance 是一个关于性能优 ...

  9. 微信小程序开发warning: Now you can provide attr "wx:key" for a "wx:for" to improve performance

    用微信官方的模板发现突然报了这个warning,检查原因: 官方解释: wx:key 如果列表中项目的位置会动态改变或者有新的项目添加到列表中,并且希望列表中的项目保持自己的特征和状态(如 <i ...

随机推荐

  1. 如何提高后台服务应用问题的排查效率?日志 VS 远程调试

    转眼间,距离Jerry最近一篇文章推送已经过去了一个多月的时间了. 公众号更新的频率降低,不是因为Jerry偷懒,而是由于从春节过后,我所在的SAP成都研究院数字创新空间整个团队,一直在忙一个5月份需 ...

  2. SSISDB7:当前正在运行的Package及其Executable

    PM问:“Vic,现在ETL Job跑到哪一个Package了,正在执行哪个Task?”,第一次遇到这个问题时,一下就懵逼了,只能硬着头皮说:“我看看”. 在做项目开发时,这个问题很常见,但是,被很多 ...

  3. C#编程 LINQ查询

    LINQ查询表达式 约束 LINQ查询表达式必须以from子句开头,以select或group子句结束 关键字 from...in...:指定要查找的数据以及范围变量,多个from子句则表示从多个数据 ...

  4. java——springmvc——注册中央调度器

    在WEB-INF下的web.xml中配置 <?xml version="1.0" encoding="UTF-8"?> <web-app xm ...

  5. Caffe---Pycaffe转换均值文件:xxx_mean.binaryproto成为xxx_mean.npy

    Pycaffe转换均值文件:xxx_mean.binaryproto成为xxx_mean.npy 为什么需要mean.binaryproto转mean.npy? 使用Caffe的C++接口进行操作时, ...

  6. E - GCD HDU - 2588

    The greatest common divisor GCD(a,b) of two positive integers a and b,sometimes written (a,b),is the ...

  7. mongo批量写入es

    import pymongo import math from elasticsearch import Elasticsearch from elasticsearch import helpers ...

  8. Codeforces 1175F The Number of Subpermutations

    做法①:RMQ(预处理NLOGN+后续跳跃蜜汁复杂度) 满足题意的区间的条件转换: 1.长度为R-L+1则最大值也为R-L+1 2.区间内的数不重复 当RMQ(L,R)!=R-L+1时 因为已经保证了 ...

  9. 【Java 关键字this 的使用】还阔以调用重载的构造方法

    笔记: /** this 关键字的使用除了调用方法和变量外, * 还可以用来显示 调用当前类的重载的指定的构造方法! * 同时也应该必须放到该方法内部的首行! */ 测试: import java.l ...

  10. rac 关于RACScheduler的一点学习

    RACScheduler  信号调度器,是一个线性执行队列,rac中的信号可以在RACScheduler上执行任务.发送结果,底层用GCD封装的. rac中提供生成线程的几个方法: 1:schedul ...