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Tanenbaum, Structured Computer Organization, Fifth Edition, (c) 2006 Pearson Education, Inc. All rights reserved. 0-13-148521-0 Floating-point Numbers Appendix B

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Tanenbaum, Structured Computer Organization, Fifth Edition, (c) 2006 Pearson Education, Inc. All rights reserved. 0-13-148521-0 Principles of Floating Point (1) Must separate range from precision Use scientific notation n = f × 10 e f is the fraction or mantissa e is the exponent (a positive or negative integer) Examples 3.14 = 0.314 × 10 1 = 3.14 × 10 0 0.000001 = 0.1 × 10 −5 = 1.0 × 10 −6 1941 = 0.1941 × 10 4 = 1.941 × 10 3

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Tanenbaum, Structured Computer Organization, Fifth Edition, (c) 2006 Pearson Education, Inc. All rights reserved. 0-13-148521-0 Principles of Floating Point (2) Seven Regions of Real Number Line Large negative numbers less than −0.999 × 10 99. Negative numbers between −0.999 × 1099 and −0.100 × 10 −99. Small negative numbers, magnitudes less than 0.100 × 10− 99. Zero. Small positive numbers, magnitudes less than 0.100 × 10 −99. Positive numbers between 0.100 × 10 −99 and 0.999 × 1099. Large positive numbers greater than 0.999 × 10 99.

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Tanenbaum, Structured Computer Organization, Fifth Edition, (c) 2006 Pearson Education, Inc. All rights reserved. 0-13-148521-0 Principles of Floating Point (3) The real number line can be divided into seven regions.

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Tanenbaum, Structured Computer Organization, Fifth Edition, (c) 2006 Pearson Education, Inc. All rights reserved. 0-13-148521-0 Principles of Floating Point (4) The approximate lower and upper bounds of expressible (unnormalized) floating-point decimal numbers.

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Tanenbaum, Structured Computer Organization, Fifth Edition, (c) 2006 Pearson Education, Inc. All rights reserved. 0-13-148521-0 IEEE Floating-point Standard 754 (1) Examples of normalized floating-point numbers.

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Tanenbaum, Structured Computer Organization, Fifth Edition, (c) 2006 Pearson Education, Inc. All rights reserved. 0-13-148521-0 IEEE Floating-point Standard 754 (2) Examples of normalized floating-point numbers.

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Tanenbaum, Structured Computer Organization, Fifth Edition, (c) 2006 Pearson Education, Inc. All rights reserved. 0-13-148521-0 IEEE Floating-point Standard 754 (3) IEEE floating-point formats. (a) Single precision. (b) Double precision.

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Tanenbaum, Structured Computer Organization, Fifth Edition, (c) 2006 Pearson Education, Inc. All rights reserved. 0-13-148521-0 IEEE Floating-point Standard 754 (4) Characteristics of IEEE floating-point numbers.

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Tanenbaum, Structured Computer Organization, Fifth Edition, (c) 2006 Pearson Education, Inc. All rights reserved. 0-13-148521-0 IEEE Floating-point Standard 754 (5) IEEE numerical types.

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CSPP58001 Floating Point Numbers. CSPP58001 Floating vs. fixed point Floating point refers to a binary decimal representation where there is not a fixed.

CSPP58001 Floating Point Numbers. CSPP58001 Floating vs. fixed point Floating point refers to a binary decimal representation where there is not a fixed.

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