'Same operation' diaporamas de présentation

Intel SIMD architecture

Intel SIMD architecture. Computer Organization and Assembly Languages Yung-Yu Chuang 2008/1/5. Overview. SIMD MMX architectures MMX instructions examples SSE/SSE2

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Introduction (3)

Introduction (3). Chapter 1 (3) Object-Oriented Modeling and Design Byung-Hyun Ha bhha@pusan.ac.kr. Lecture Outline. Introduction (rev.) Polymorphism Polymorphism examples Object-oriented development Object-oriented methodology Tree models of OMT Object-oriented themes.

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CORONARY ARTERY BYPASS

CORONARY ARTERY BYPASS. Paul J. Corso, M.D., FACS, FACC Chief Cardiovascular Surgery, Washington Hospital Center. Coronary Revascularization - Surgical. Historical Review: 1946 Vineberg IMA implant into cardiac muscle 1954 Murray Experimental anastomosis (IMA/SVG)

1.18k views • 42 slides

Chapter 5, Analysis: Object Modeling

Chapter 5, Analysis: Object Modeling. Outline. From use cases to objects Object modeling Class vs instance diagrams Attributes Operations and methods Links and associations Examples of associations Two special associations Aggregation Inheritance. From Use Cases to Objects.

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Subroutines

Subroutines. Thorne : Chapter 8 (Irvine Edition IV : Section 5.5). Subroutines - A sequence of instructions that can be called from various places in the program - Allows the same operation to be performed with different parameters

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Networking

Networking. Kevin, Ray, Kelvin, Stephan, Norman, Phil . History. - ARPANET (Advanced Research Projects Agency Network) - World's first operational packet-switching network - Became the core network of what composes the global Internet

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Web Based Programming Section 11

Web Based Programming Section 11. James King 12 August 2003. Mass storage - Arrays, Strings and Vectors. Arrays. Mass Storage. Arrays. Arrays allow large numbers of simple data types such as int or instances of classes to be easily accessed. int array[]=new int[10]; array[0]=4;

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The OO Solution

The OO Solution. The OO model closely resembles the problem domain Base your model on the objects in the problem domain Iteratively refine the high-level model until you have an implementation Attempt to avoid big conceptual jumps during the development process. Objects. State of Michigan.

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High-Performance Computing 12.1: Concurrent Processing

High-Performance Computing 12.1: Concurrent Processing. High-Performance Computing. A fancy term for computers significantly faster than your average desktop machine (Dell, Mac)

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IEEE802.16d Simulator WirelessMAN-OFDM-PHY layer

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Math 6

Math 6. Patterns, Functions & Algebra. Using the representations below, which correctly represents the following number sentence if each scale is balanced ? 5 + x = 7. A B C D. A. D. B. C. Look at the equation mat . What is the value of x ?. 11 7 3 2.

406 views • 22 slides

Parallel Programming

Parallel Programming. Yang Xianchun Department of Computer Science and Technology Nanjing University. Introduction. Agenda. About the Course Evolution of Computing Technology Grand Challenge Problem Examples Motivations for Parallelism Parallel Computation A Road Map of Topics

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Objective - To solve simple, one-step variable equations

Objective - To solve simple, one-step variable equations. What is an equation?. Equation - a balanced statement of equality between two quantities. 4 + 3 = 7. 4 + 3. 7. =. fulcrum. 4 + 3. 7. =. - 3. fulcrum. 4. 7. =. fulcrum. 4. =. 7. fulcrum. 4. =. 7. fulcrum.

382 views • 18 slides

Objective - To solve simple, one-step variable equations

Objective - To solve simple, one-step variable equations. What is an equation?. Equation - a balanced statement of equality between two quantities. 4 + 3 = 7. 4 + 3. 7. =. fulcrum. 4 + 3. 7. =. - 3. fulcrum. 4. 7. =. fulcrum. 4. =. 7. fulcrum. 4. =. 7. fulcrum.

362 views • 18 slides

Some Alternative Approaches

Some Alternative Approaches. Two Samples. Outline. Scales of measurement may narrow down our options, but the choice of final analysis is up to the researcher The following are examples of how one might approach a simple situation involving two samples of data

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Measure, Then Improve

Measure, Then Improve. Andrew B. Kahng April 9, 1999. What do we want to improve?. Profits = Design success (TT$) ? = Design capability (design technology + mfg technology) ? = Design process ? = Designer productivity ? = CAD tools ?

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Solving Fraction Equations by Multiplying

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Proportions

Proportions. Lesson 6-3:. Vocabulary. A proportion is an equation stating that two ratios or rates are equal.

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Solving Fraction Equations by Multiplying

226 views • 9 slides