'Loop iterations' presentation slideshows

Comp 110 Loops

Comp 110 Loops. Instructor: Jason Carter. Loops. More loops Off-by-one errors Infinite loops Nested Loops Animations Concurrency Synchronized methods Property changes. Multiplying Numbers. int product = 1; int nextNum = Console.readInt (); while ( nextNum >= 0) {

969 views • 76 slides

Flow of Control: Loops

Flow of Control: Loops. Chapter 4. Objectives. Design a loop Use while , do , and for in a program Use the for-each with enumerations Use assertion checks Use repetition in a graphics program Use drawString to display text in a graphics program. Java Loop Statements: Outline.

528 views • 52 slides

Flow of Control: Loops

Flow of Control: Loops. Chapter 4. Objectives. Design a loop Use while , do , and for in a program Use the for-each with enumerations Use assertion checks Use repetition in a graphics program Use drawString to display text in a graphics program. Java Loop Statements: Outline.

526 views • 52 slides

Jeopardy

544 views • 44 slides

Flow of Control: Loops

Flow of Control: Loops. Chapter 4. Objectives. Design a loop Use while , do , and for in a program Use the for-each with enumerations Use assertion checks. Java Loop Statements: Outline. The while statement The do-while statement The for Statement. Java Loop Statements.

428 views • 42 slides

Flow of Control: Loops

Flow of Control: Loops. Chapter 4. Java Loop Statements. A portion of a program that repeats a statement or a group of statements is called a loop . The statement or group of statements to be repeated is called the body of the loop.

505 views • 38 slides

Direct proof technique

Direct proof technique. The goal is to explain why some assertion is true. Formal proof: Sequence of statements Starts with some axiom (universally agreed-upon premise).

611 views • 36 slides

March 24, 2004 Prof. Andreas Savvides Spring 2004 eng.yale/courses/eeng449bG

470 views • 31 slides

Toward a More Accurate Understanding of the Limits of the TLS Execution Paradigm

Toward a More Accurate Understanding of the Limits of the TLS Execution Paradigm. University of Edinburgh http://homepages.inf.ed.ac.uk/mc/Projects/VESPA. University of Manchester http://intranet.cs.man.ac.uk/apt/projects/iTLS.

381 views • 30 slides

Toward a More Accurate Understanding of the Limits of the TLS Execution Paradigm

Toward a More Accurate Understanding of the Limits of the TLS Execution Paradigm. University of Edinburgh http://homepages.inf.ed.ac.uk/mc/Projects/VESPA. University of Manchester http://apt.cs.man.ac.uk/projects/iTLS.

387 views • 30 slides

Toward a More Accurate Understanding of the Limits of the TLS Execution Paradigm

Toward a More Accurate Understanding of the Limits of the TLS Execution Paradigm. University of Edinburgh http://homepages.inf.ed.ac.uk/mc/Projects/VESPA. University of Manchester http://apt.cs.man.ac.uk/projects/iTLS.

304 views • 30 slides

Interval Heaps

Interval Heaps. Complete binary tree. Each node (except possibly last one) has 2 elements. Last node has 1 or 2 elements. Let a and b be the elements in a node P , a <= b . [a, b] is the interval represented by P .

569 views • 28 slides

Static Compiler Optimization Techniques

Static Compiler Optimization Techniques. We examined the following static ISA/compiler techniques aimed at improving pipelined CPU performance: Static pipeline scheduling (in ch 4.1). Loop unrolling (ch 4.1). Static branch prediction (in ch 4.2).

438 views • 26 slides

GPU-Qin: A Methodology For Evaluating Error Resilience of GPGPU Applications

GPU-Qin: A Methodology For Evaluating Error Resilience of GPGPU Applications. Bo Fang , Karthik Pattabiraman , Matei Ripeanu , The University of British Columbia Sudhanva Gurumurthi AMD Research. Graphic Processing Unit.

443 views • 21 slides

CS 378 Programming for Performance Single-Thread Performance: Compiler Scheduling for Pipelines

CS 378 Programming for Performance Single-Thread Performance: Compiler Scheduling for Pipelines. Siddhartha Chatterjee Spring 2008. Review of Pipelining. Pipelining reduces throughput of an instruction sequence, not the latency of an individual instruction

214 views • 21 slides

Static Compiler Optimization Techniques

Static Compiler Optimization Techniques. We already examined the following static compiler techniques aimed at improving pipelined CPU performance: Static pipeline scheduling (in ch 4.1). Loop unrolling (ch 4.1). Static branch prediction (in ch 4.2).

154 views • 12 slides

Algorithm Efficiency

262 views • 10 slides

Static Compiler Optimization Techniques

Static Compiler Optimization Techniques. We already examined the following static compiler techniques aimed at improving pipelined CPU performance: Static pipeline scheduling (in ch 4.1). Loop unrolling (ch 4.1). Static branch prediction (in ch 4.2).

312 views • 10 slides

Static Compiler Optimization Techniques

Static Compiler Optimization Techniques. We already examined the following static compiler techniques aimed at improving pipelined CPU performance: Static pipeline scheduling (in ch 4.1). Loop unrolling (ch 4.1). Static branch prediction (in ch 4.2).

102 views • 10 slides

Algorithm Efficiency

356 views • 9 slides