Read e-book online Embedded Systems and Computer Architecture PDF

By G.R. Wilson (Auth.)

ISBN-10: 0750650648

ISBN-13: 9780750650649

Content material:

, Pages xi-xii
Notation utilized in the text

, Page xiii
1 - Binary numbers

, Pages 3-11
2 - good judgment expressions

, Pages 12-32
3 - digital common sense circuits

, Pages 33-51
4 - desktop arithmetic

, Pages 52-67
5 - computing device design

, Pages 71-85
6 - guide set and code assembly

, Pages 86-99
7 - software structures

, Pages 100-124
8 - easy machine circuits

, Pages 125-137
9 - enter and output ports

, Pages 138-147
10 - enter and output methods

, Pages 148-171
11 - extra devices

, Pages 172-184
12 - Assembler and linker tools

, Pages 185-195
13 - The keep an eye on unit

, Pages 196-211
14 - better computers

, Pages 215-224
15 - Cache memory

, Pages 225-234
16 - reminiscence management

, Pages 235-244
Appendix A - G80 guideline set

, Pages 245-260
Appendix B - ASCII personality codes

, Page 261
Appendix C - the enter and output devices

, Pages 262-283
Appendix D - The GDS assembler and linker

, Pages 284-290

, Pages 291-294

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Extra resources for Embedded Systems and Computer Architecture

Sample text

11111111111111111111111 x 2-126 - (l ~. 00000000000000000000001 x 2-126 (2 -23) -- X 2 -126 = 2-149 If the result of floating-point arithmetic is a number smaller than this, the number is said to underflow and the result should be set to E = 255, F > 0, I Overflow 2 728- 2 TM Largest normalized (D _Q E Normalized c- @ 2 12~ Smallest normalized > . i 4i . 14 Number range for single precision floating-point numbers 64 Embedded Systems and Computer Architecture which indicates that the result is not a number, NaN.

The decimal numbers indicate the binary number . 4 Computer arithmetic A result of our choosing to represent numbers in binary notation is that we can devise logic circuits to process the numbers. In this chapter, we design a simple adder circuit and develop it into a more useful ALU (arithmetic and logic unit). We see how the simple adder can be made to operate faster by using the carry-look-ahead technique. Finally, we look at how floating-point numbers are represented and how arithmetic is performed on them.

25). All these numbers are called fixed point numbers, because the binary point is always at the same, fixed, position in every number. 000 000 000 000 432 196. 000 000 000 000 432 196, a number must be represented by a very large number of bits. Usually this amount of precision is not required and some approximation of the number is acceptable. In such cases, we can use floating-point numbers. 32 196 x 10 -13. This number representation actually uses two numbers, the mantissa 4, and the exponent.

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Embedded Systems and Computer Architecture by G.R. Wilson (Auth.)

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