'Structural hazards' presentation slideshows

Pipelining: Basic and Intermediate Concepts

Pipelining: Basic and Intermediate Concepts. Appendix A mainly with some support from Chapter 3. A. B. C. D. Pipelining: Its Natural!. Laundry Example Ann, Brian, Cathy, Dave each have one load of clothes to wash, dry, and fold Washer takes 30 minutes Dryer takes 40 minutes

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Pipelining: Basic and Intermediate Concepts

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The Big Picture

f1. f2. f5. f3. f4. i. p. s. q. j. fp. f3. The Big Picture. SPEC. Requirements. Problem Focus. Algorithms. f2() { f3(s2, &j, &i); *s2->p = 10; i = *s2->q + i; }. Prog. Lang./OS. i1: ld r1, b <p1> i2: ld r2, c <p1> i3: ld r5, z <p3>

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The Big Picture

f1. f2. f5. f3. f4. i. p. s. q. j. fp. f3. The Big Picture. SPEC. Requirements. Problem Focus. Algorithms. f2() { f3(s2, &j, &i); *s2->p = 10; i = *s2->q + i; }. Prog. Lang./OS. i1: ld r1, b <p1> i2: ld r2, c <p1> i3: ld r5, z <p3>

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Computer Architecture

Computer Architecture. Appendix A Pipelining Prof. Jerry Breecher CSCI 240 Fall 2003. Introduction.

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Computer Architecture

Computer Architecture. Appendix A Pipelining Prof. Jerry Breecher CSCI 240 Fall 2003. Introduction.

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Computer Architecture

Computer Architecture. Lecture 4 Pipelining. Introduction. A.1 What is Pipelining? A.2 The Major Hurdle of Pipelining-Structural Hazards Data Hazards Control Hazards A.3 How is Pipelining Implemented A.4 What Makes Pipelining Hard to Implement?

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Lecture 7 Pipeline Hazards

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Chapter 3

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Advanced Pipelining and Instruction Level Parallelism (ILP)

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Lecture 20: Advanced pipelining techniques

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Pipelining: Basic and Intermediate Concepts

Pipelining: Basic and Intermediate Concepts. Computer Architecture: A Quantitative Approach by Hennessey and Patterson Appendix C. What Is A Pipeline?. Pipelining is used by virtually all modern microprocessors to enhance performance by overlapping the execution of instructions.

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Advanced Computer Architecture

Advanced Computer Architecture. Syed Ali Raza Lecturer GC University, Lahore. Pipelining. What is Pipelining?. A way of speeding up execution of instructions Key idea : overlap execution of multiple instructions. A. B. C. D. The Laundry Analogy.

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Pipeline Hazards

Pipeline Hazards. See: P&H Chapter 4.7. Broken Example. MEM. MEM. MEM. MEM. MEM. WB. WB. WB. WB. WB. ID. ID. ID. ID. ID. IF. IF. IF. IF. IF. Clock cycle 1 2 3 4 5 6 7 8 9. add r3, r1, r2. sub r5, r3, r4. lw r6, 4(r3). or r5, r3, r5. sw r6, 12(r3).

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PIPELINING AND VECTOR PROCESSING

PIPELINING AND VECTOR PROCESSING. Parallel Processing Pipelining Arithmetic Pipeline Instruction Pipeline RISC Pipeline Vector Processing Array Processors(refer book). Parallel Processing. PARALLEL PROCESSING. Execution of Concurrent Events in the computing

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Pipelining Part I

Pipelining Part I. CS448. F1. D1. E1. F2. D2. E2. F3. D3. E3. What is Pipelining?. Like an Automobile Assembly Line for Instructions Each step does a little job of processing the instruction Ideally each step operates in parallel Simple Model Instruction Fetch Instruction Decode

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CS 230: Computer Organization and Assembly Language

CS 230: Computer Organization and Assembly Language. Aviral Shrivastava. Department of Computer Science and Engineering School of Computing and Informatics Arizona State University. Slides courtesy: Prof. Yann Hang Lee, ASU, Prof. Mary Jane Irwin, PSU, Ande Carle, UCB. Announcements.

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CPU Pipelining Issues

CPU Pipelining Issues. What have you been beating your head against?. This pipe stuff makes my head hurt!. Finishing up 4.5-4.8. Pipelining. Improve performance by increasing instruction throughput Ideal speedup is number of stages in the pipeline. Do we achieve this?. Pipelining.

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Lecture 7: Static ILP and branch prediction

Lecture 7: Static ILP and branch prediction. Topics: static speculation and branch prediction (Appendix G, Section 2.3). Support for Speculation. In general, when we re-order instructions, register renaming can ensure we do not violate register data dependences

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