PDF4PRO ⚡AMP

Modern search engine that looking for books and documents around the web

Example: confidence

This Unit: Floating Point Arithmetic

CIS371 (Roth/Martin): Floating Point1 CIS 371 Computer Organization and DesignUnit 7: Floating PointCIS371 (Roth/Martin): Floating Point2 This Unit: Floating Point Arithmetic Formats Precision and range IEEE 754 standard Operations Addition and subtraction Multiplication and division Error analysis Error and bias Rounding and truncationCPUMemI/OSystem softwareAppAppAppCIS371 (Roth/Martin): Floating Point3 Readings P+H Chapter and (Roth/Martin): Floating Point4 Floating Point (FP) Numbers Floating Point numbers: numbers in scientific notation Two uses Use I: real numbers (numbers with non-zero fractions) * 10 34 Use II: really big numbers * 108 * 1023 Aside: best not used for currency valuesCIS371 (Roth/Martin): Floating Point5 The Land Before Floating Point Early computers were built for scientific calculations ENIAC.

CIS371 (Roth/Martin): Floating Point 13 More About Normalization •What is –0.5 in normalized floating point? •Sign: 1 •0.5 = 1 * 2–1 •Significand: 1 = 1*20 = 100 0000 0000 0000 0000 0000 •Exponent: -1 = 1111 1111

Fullscreen Download
Loading..

Tags:

  Floating

Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Spam in document Broken preview Other abuse

Transcription of This Unit: Floating Point Arithmetic

Documents from same domain

Discrete Mathematics - University of Pennsylvania

www.cis.upenn.edu

The curriculum of most undergraduate programs in computer science includes a ... Concrete Mathematics, ... Undergraduate Texts in Mathematics.

  Texts, Mathematics, Undergraduate, Undergraduate texts in mathematics

Types and Programming Languages The Next …

www.cis.upenn.edu

Types and Programming Languages The Next Generation Benjamin C. Pierce University of Pennsylvania ... 1993 A Paradigmatic Object-Oriented Programming Language:

  Programming, Language, Types, Programming language, Types and programming languages

07 Introduction to Programming Embedded Systems

www.cis.upenn.edu

Introduction to Programming Embedded Systems Sebastian Fischmeister sfischme@seas.upenn.edu Department of Computer and Information Science ... Embedded Systems C Compilers Embedded systems developers need more control over the generated file than traditional C …

  Introduction, Programming, System, Embedded, Introduction to programming embedded systems

Model Portfolios FRONTS - University of Pennsylvania

www.cis.upenn.edu

understanding the intuition behind the Black-Litterman asset allocation model. To do this, we use examples to show the difference between the traditional mean variance optimization process and the Black-Litterman process.

  Model, Portfolio, Model portfolio, Intuition

Option Returns and the Cross-Sectional Predictability of ...

www.cis.upenn.edu

1 Introduction Volatility is central to the pricing of options as there is a one-to-one correspondence betweenthepriceof an option and thevolatilityof the underlyingasset.

  Introduction, Cross, Options, Sectional, Predictability, And the cross sectional predictability

How to write a great research paper Seven simple suggestions

www.cis.upenn.edu

How to write a great research paper Seven simple suggestions Simon Peyton Jones Microsoft Research, Cambridge #1 Don’t wait: write . Writing papers: model 1 Idea Do research Write paper . Writing papers: model 2 Idea Do research Write paper Idea Write paper Do research ! Forces us to be clear, focused ... Writing the paper is how you develop ...

  Research, Paper, Writing, Simple, Suggestions, Seven, Great, Great research paper seven simple suggestions

What is Computer Architecture? - University of Pennsylvania

www.cis.upenn.edu

• Design advances magnified over millions of chips • Boot-strapping effect • Better computers help design next generation CIS 501 (Martin): Introduction 6 Design Goals • ...

  Introduction, Design

Chapter 8 Input/Output - University of Pennsylvania

www.cis.upenn.edu

Chapter 8 Input/Output CSE 240 8-2 ... ¥Uses regular I/O register to interact with devices ... More information in Chapter 10 CSE 240 8-20 Role of the Operating System In real systems, only the operating system (OS) does I/O ¥ÒNrmalÓpograsaskhe OS toperform I/O on its behalf

  Devices, Chapter, Input, Output, Chapter 8 input output

The Algorithmic Foundations of ff Privacy

www.cis.upenn.edu

2 Finally, we note that this work is meant as a thorough introduc-tion to the problems and techniques of fftial privacy, but is not intended to be an exhaustive survey — there is by now a vast amount of

  Logarithmic

Chapter 16 Isometries, Local Isometries, Riemannian Coverings ...

www.cis.upenn.edu

Submersions, Killing Vector Fields 16.1 Isometries and Local Isometries Recall that a local isometry between two Riemannian manifolds M and N is a smooth map ': M ! N so that h(d') p(u),(d' p)(v)i '(p) = hu,vi p, for all p 2 M and all u,v 2 T pM.Anisometry is a local isometry and a di↵eomorphism. By the inverse function theorem, if ': M ! N ...

  Field, Killing

Related documents

IEEE Standard 754 for Binary Floating-Point Arithmetic

people.eecs.berkeley.edu

If a Single Precision floating-point number is converted to a decimal string with at least 9 sig. dec. and then converted back to Single, then the final number must match the original. Most microprocessors that support floating-point on-chip, and all …

  Floating

DESIGN OF SINGLE PRECISION FLOAT ADDER (32-BIT …

upcommons.upc.edu

Floating Point Arithmetic represent a very good compromise for most numerical applications. 1.1. Floating Point Numbers The floating point numbers representation is based on the scientific notation: the decimal point is not set in a fixed position in the bit sequence, but its position is indicated as a base power.

  Floating

IEEE Standard 754 Floating Point Numbers

www.hlam.ece.ufl.edu

Floating-point solves a number of representation problems. Fixed-point has a fixed window of representation, which limits it from representing very large or very small numbers. Also, fixed-point is prone to a loss of precision when two large numbers are divided. Floating-point, on the other hand, employs a sort of "sliding window" of precision

  Floating

MIPS Floating Point Instructions

people.cs.pitt.edu

11/9/2011 2 Single Precision Floating Point Format 0 •Sign: whether # is positive or negative •Exponent: makes value large or small •Fraction: the actual “number” •Value: -1sign∙ 1.fraction∙2(exponent-127) Special values exist for ±∞, NaN (not a number) There are some other exceptions/issues

  Floating

Circuit Analysis using the Node and Mesh Methods

ocw.mit.edu

The floating voltage source provides a constraint between v2 and v3, such that V2=v3−v2,and thus Equation (4.28) becomes V1 V2 v2 R1 R3 111 R1 R2 R3 − = ++ (4.29) And the node voltage v3 follows. V1 V2 v3 R1 R3 V2 111 R1 R2 R3 − = ++ + (4.30) Example 4.1 Nodal analysis with current sources Determine the node voltages v1, v2, and v3 of the ...

  Floating

Related search queries

Floating