Computer Architecture

Size: px
Start display at page:

Download "Computer Architecture"

Transcription

1 Computer Architecture Pipelined and Parallel Processor Design Michael J. Flynn Stanford University Technische Universrtat Darmstadt FACHBEREICH INFORMATIK BIBLIOTHEK lnventar-nr.: Sachgebiete: Standort: Jones and Bartlett Publishers Sudbury, Massachusetts Boston London Singapore

2 Preface Acknowledgments xv xvii 1 Architecture and Machines Some Definitions and Terms Interpretation and Microprogramming The Instruction Set Basic Data Types Instructions Classes of Operations Instruction Mnemonics General Machine Conventions Branches Register Sets and Addressing Modes Instruction Code Examples Other Instruction Set Issues Program Size Addressing and Memory Process Addressing System Addresses and Segmentation ' Memory Space Virtual to Real Mapping Basic Instruction Timing Examples of Well-mapped Machine Instruction Timing Overlapped and Pipelined Processors Conclusions Historical Development of Computers Annotated Bibliography Problem Set 58

3 vi 2 Time, Area, and Instruction Sets Introduction Time The Nature of a Cycle Partitioning Instruction Execution into Cycles Clocking Overhead and Reliable Clocking Pipelined Processors Optimum Pipelining Cycle Quantization Wave Pipelining Cost-Area Area Data Storage Technology State of the Art The Economics of a Processor Project: A Study Phase 1: Development Phase 2: Early Manufacturing Phase 3: Production Phase 4: All Good Things Must Come to an End Instruction Sets: Processor Evaluation Metrics Program Execution Instruction Set Comparisons Invariant Effects Code Density Role of Registers, Evaluation Stacks, and Data Buffers Conclusions Some Areas for Further Research Data Notes J Annotated Bibliography Problem Set Data: How Programs Behave Introduction Instruction Usage Data Categories Format Distribution Operation Set Distribution Process Management Procedure Calls: User State Calls to the System 153

4 vii 3.4 Breaks in Machine Execution Instruction Run Length Branches Branch Target Distribution Condition Code Testing Move and Arithmetic Class Operations Register-Based Addressing Decimal and Character Operand Length Conclusions Some Areas for Further Research Data Notes Annotated Bibliography Problem Set Pipelined Processor Design Introduction Evolution of a Computer Processor Family Processor Design Organization of the Chapter Approaching Pipelined Processors Examples of Pipeline Implementations Evaluating Pipelined Processor Performance Design of a Pipelined Processor Cache Access Controller Accounting for the Effect of Buffers in a Pipelined System Buffer Design Designing a Buffer for a Mean Request Rate I-Buffers Designed for Maximum Request Rates Branches Branch Elimination Branch Speedup Branch Prediction Strategies Branch Target Capture: Branch Target Buffers Interlocks Decoder and Interlocks Bypassing Address Generation Interlocks Execution Interlocks and Interlock Tables Run-On Delay 250

5 viii 4.8 Miscellaneous Effects Store in Instruction Stream Delay Conclusions Some Areas for Further Research Data Notes Annotated Bibliography Problem Set Cache Memory Introduction Basic Notions Cache Organization Cache Data Adjusting the Data for Cache Organization Write Policies Strategies for line Replacement at Miss Time Fetching a Line Line Replacement Cache Environment Other Types of Cache Split I- and D-Caches I-and D-Caches Code Density Effects On-Chip Caches Two-Level Caches Logical Inclusion Write Assembly Cache Cache References per Instruction Instruction Traffic Data Traffic Technology-Dependent Cache Considerations Virtual-to-Real Translation Translation Lookaside Buffer (TLB) Overlapping the T cycle in V R Translation Set Associative Caches Virtual Caches Real Caches Using Colored Pages Studies Actual Reference Traffic Design Summary 336

6 ix Cache Evaluation Design Rules Cache/TLB Excess CPI Design Rules Conclusions Some Areas for Further Research Data Notes Bibliography Problem Set Memory System Design Introduction The Physical Memory The Memory Module Error Detection and Correction Memory Buffers Partitioning of the Address Space Models of Simple Processor-Memory Interaction Memory Systems Design Multiple Simple Processors Hellerman's Model Strecker's Model Rau's Model Processor-Memory Modeling Using Queueing Theory Performance Models of Processor Memory Interactions Arrival Distribution Service Distribution Terminology Queue Properties Open-, Closed-, and Mixed-Queue Models The Open-Queue (Flores) Memory Model Closed Queues Mixed Queues^ Waiting Time, Performance, and Buffer Size Pipelined Processors Designing a M/M/1 Buffer Given a Mean Queue Size Comparison of Memory Models Review and Selection of Queueing Models Processors with Cache Fully and Partially Blocking Caches Accessing a Line dime access) Contention Time d bu sy) ma Copyback Caches 400

7 6.8.4 I/O Effects Performance Effects Copyback Cache Study Simple Write-Through Caches Write-Through Cache Example Shared Bus Nonblocking Caches Interleaved Caches Conclusions Some Areas for Further Research Data Notes Annotated Bibliography Problem Set 420 Concurrent Processors Introduction Vector Processors Vector Functional Units Vector Instructions/Operations Vector Processor Implementation A Generic Vector Processor Vector Memory The Special Case of Vector Memory Modeling Vector Memory Performance Gamma (y)-binomial Model Bypassing between Vector Instructions Vector Processor Speedup Basic Issues Measures Multiple-Issue Machines Out-of-Order and Multiple-Instruction Execution Data Dependencies Representing Data Dependencies Other Types of Dependencies When and How to Detect Instruction Concurrency Two Scheduling Implementations An Improved Scoreboard Dealing with Out-of-Order Execution Interleaved Caches Branches and Speculative Execution 492

8 xi Adaptive Speculation Results Comparing Vector and Multiple-Issue Processors Cost Comparison Performance Comparison Alternative Organizations Conclusions Some Areas for Further Research Data Notes Annotated Bibliography.' Problem Set Shared Memory Multiprocessors Basic Issues Partitioning Scheduling Run-Time Scheduling Techniques Synchronization and Coherency The Effects of Partitioning and Scheduling Overhead Grain Size and Overhead Types of Shared Memory Multiprocessors Multithreaded or Shared Resource Multiprocessing Memory Coherence in Shared Memory Multiprocessors Shared-Bus Multiprocessors Snoopy Protocols Bus-Based Models Scalable Multiprocessors Directory-Based Protocols Directory Structure Invalidate Protocols Update Protocols Evaluating Some Systems Alternatives Interconnections Static Networks Links and Nodes Dynamic Networks Evaluating Interconnect Networks Direct Static vs. Indirect Dynamic Network Dimensionality and Link-Limited Network Hotspots and Combining 588

9 xii 8.18 Other Characterizations of Multiprocessors Conclusions Some Areas for Further Research Annotated Bibliography Problem Set I/O and the Storage Hierarchy The Role of I/O Evolution of I/O Systems Organization I/O Processors/Channels I/O System Support for Multiprocessors Design of Storage Systems Disk Technology The Disk Device Simple I/O Transactions Multiple Servers Single-Server Low Population (n) Disk Modeling Multiprogramming Models and Inverted Servers Improving I/O Response and Capacity I/O Traffic and Virtual Memory Effects Basic I/O Request Rate Virtual Memory I/O Traffic Disk Cache Buffers Concurrent Disks Clusters of Independent Disks Striping Disk Arrays Composite Configurations Some Practical Considerations Redundancy in Disk Arrays Conclusions Some Areas for Further Research Data Notes Annotated Bibliography Problem Set Processor Studies The Baseline Mark II Design Assumptions 664

10 xiii Design Alternatives Pipeline Timing Analysis Pipeline Penalty Analysis Cache and Memory Analysis Cost-Performance Analysis Area Performance Analysis of Processors The Problem Specifications Assumptions The Design Analysis Study Results Conclusions 718 Appendix A DTMR Cache Miss Rates 719 A.1 Basic DTMR 719 A.2 Associativity Adjustments 719 A3 User + System 721 A.4 Transaction-Based Systems 722 A.5 Multiprogrammed (Warm Cache) Environment 728 Appendix B SPECmark vs. DTMR Cache Performance 741 Appendix C Modeling System Effects in Caches 743 C.I Cold Start Cache 743 C.2 Cache Misses in Multiprogramming Environment 744 Appendix D New DRAM Technologies 747 D.I Typical Performance Enhancements 747 D.2 Enhanced DRAM 748 D.3 Synchronous DRAM 748 D.4 Cache DRAM 748 D.5 Rambus DRAM 748 D.6 RamlinkDRAM 749 D.7 Chip Level Summary 749 AppendixE M/G/l Queues 751 Appendix F Some Details on Bus-Based Protocols 755 Bibliography 765 Index 782

Computer Architecture A Quantitative Approach

Computer Architecture A Quantitative Approach Computer Architecture A Quantitative Approach Third Edition John L. Hennessy Stanford University David A. Patterson University of California at Berkeley With Contributions by David Goldberg Xerox Palo

More information

Main Points of the Computer Organization and System Software Module

Main Points of the Computer Organization and System Software Module Main Points of the Computer Organization and System Software Module You can find below the topics we have covered during the COSS module. Reading the relevant parts of the textbooks is essential for a

More information

UNIT I (Two Marks Questions & Answers)

UNIT I (Two Marks Questions & Answers) UNIT I (Two Marks Questions & Answers) Discuss the different ways how instruction set architecture can be classified? Stack Architecture,Accumulator Architecture, Register-Memory Architecture,Register-

More information

Computer Organization and Microprocessors SYLLABUS CHAPTER - 1 : BASIC STRUCTURE OF COMPUTERS CHAPTER - 3 : THE MEMORY SYSTEM

Computer Organization and Microprocessors SYLLABUS CHAPTER - 1 : BASIC STRUCTURE OF COMPUTERS CHAPTER - 3 : THE MEMORY SYSTEM i SYLLABUS UNIT - 1 CHAPTER - 1 : BASIC STRUCTURE OF COMPUTERS Computer Types, Functional Units, Basic Operational Concepts, Bus Structures, Software, Performance, Multiprocessors and Multicomputers, Historical

More information

Contents. Preface xvii Acknowledgments. CHAPTER 1 Introduction to Parallel Computing 1. CHAPTER 2 Parallel Programming Platforms 11

Contents. Preface xvii Acknowledgments. CHAPTER 1 Introduction to Parallel Computing 1. CHAPTER 2 Parallel Programming Platforms 11 Preface xvii Acknowledgments xix CHAPTER 1 Introduction to Parallel Computing 1 1.1 Motivating Parallelism 2 1.1.1 The Computational Power Argument from Transistors to FLOPS 2 1.1.2 The Memory/Disk Speed

More information

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING UNIT-1

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING UNIT-1 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING Year & Semester : III/VI Section : CSE-1 & CSE-2 Subject Code : CS2354 Subject Name : Advanced Computer Architecture Degree & Branch : B.E C.S.E. UNIT-1 1.

More information

Integrated Approach. Operating Systems COMPUTER SYSTEMS. LEAHY, Jr. Georgia Institute of Technology. Umakishore RAMACHANDRAN. William D.

Integrated Approach. Operating Systems COMPUTER SYSTEMS. LEAHY, Jr. Georgia Institute of Technology. Umakishore RAMACHANDRAN. William D. COMPUTER SYSTEMS An and Integrated Approach f Architecture Operating Systems Umakishore RAMACHANDRAN Georgia Institute of Technology William D. LEAHY, Jr. Georgia Institute of Technology PEARSON Boston

More information

ECE/CS 757: Homework 1

ECE/CS 757: Homework 1 ECE/CS 757: Homework 1 Cores and Multithreading 1. A CPU designer has to decide whether or not to add a new micoarchitecture enhancement to improve performance (ignoring power costs) of a block (coarse-grain)

More information

Chapter 5. Topics in Memory Hierachy. Computer Architectures. Tien-Fu Chen. National Chung Cheng Univ.

Chapter 5. Topics in Memory Hierachy. Computer Architectures. Tien-Fu Chen. National Chung Cheng Univ. Computer Architectures Chapter 5 Tien-Fu Chen National Chung Cheng Univ. Chap5-0 Topics in Memory Hierachy! Memory Hierachy Features: temporal & spatial locality Common: Faster -> more expensive -> smaller!

More information

Chapter 5 Memory Hierarchy Design. In-Cheol Park Dept. of EE, KAIST

Chapter 5 Memory Hierarchy Design. In-Cheol Park Dept. of EE, KAIST Chapter 5 Memory Hierarchy Design In-Cheol Park Dept. of EE, KAIST Why cache? Microprocessor performance increment: 55% per year Memory performance increment: 7% per year Principles of locality Spatial

More information

system on chip architecture CONTENTS Processor : An Architectural View Simple Sequential Processor

system on chip architecture CONTENTS Processor : An Architectural View Simple Sequential Processor Contents i system on chip architecture FOR m.tech (jntu - h&k) i year Ii semester (COMMON TO EMBEDDED SYSTEMS, VLSI AND VLSI DESIGN) CONTENTS UNIT - I [CH. H. - 1] ] [INTRODUCTION TO THE SYSTEM APPROACH]...

More information

Performance of Computer Systems. CSE 586 Computer Architecture. Review. ISA s (RISC, CISC, EPIC) Basic Pipeline Model.

Performance of Computer Systems. CSE 586 Computer Architecture. Review. ISA s (RISC, CISC, EPIC) Basic Pipeline Model. Performance of Computer Systems CSE 586 Computer Architecture Review Jean-Loup Baer http://www.cs.washington.edu/education/courses/586/00sp Performance metrics Use (weighted) arithmetic means for execution

More information

Kaisen Lin and Michael Conley

Kaisen Lin and Michael Conley Kaisen Lin and Michael Conley Simultaneous Multithreading Instructions from multiple threads run simultaneously on superscalar processor More instruction fetching and register state Commercialized! DEC

More information

EE382 Processor Design. Processor Issues for MP

EE382 Processor Design. Processor Issues for MP EE382 Processor Design Winter 1998 Chapter 8 Lectures Multiprocessors, Part I EE 382 Processor Design Winter 98/99 Michael Flynn 1 Processor Issues for MP Initialization Interrupts Virtual Memory TLB Coherency

More information

Reader's Guide Outline of the Book A Roadmap For Readers and Instructors Why Study Computer Organization and Architecture Internet and Web Resources

Reader's Guide Outline of the Book A Roadmap For Readers and Instructors Why Study Computer Organization and Architecture Internet and Web Resources Reader's Guide Outline of the Book A Roadmap For Readers and Instructors Why Study Computer Organization and Architecture Internet and Web Resources Overview Introduction Organization and Architecture

More information

Structure of Computer Systems

Structure of Computer Systems Structure of Computer Systems Structure of Computer Systems Baruch Zoltan Francisc Technical University of Cluj-Napoca Computer Science Department U. T. PRES Cluj-Napoca, 2002 CONTENTS PREFACE... xiii

More information

anced computer architecture CONTENTS AND THE TASK OF THE COMPUTER DESIGNER The Task of the Computer Designer

anced computer architecture CONTENTS AND THE TASK OF THE COMPUTER DESIGNER The Task of the Computer Designer Contents advanced anced computer architecture i FOR m.tech (jntu - hyderabad & kakinada) i year i semester (COMMON TO ECE, DECE, DECS, VLSI & EMBEDDED SYSTEMS) CONTENTS UNIT - I [CH. H. - 1] ] [FUNDAMENTALS

More information

Keywords and Review Questions

Keywords and Review Questions Keywords and Review Questions lec1: Keywords: ISA, Moore s Law Q1. Who are the people credited for inventing transistor? Q2. In which year IC was invented and who was the inventor? Q3. What is ISA? Explain

More information

Computer Architecture Spring 2016

Computer Architecture Spring 2016 Computer Architecture Spring 2016 Final Review Shuai Wang Department of Computer Science and Technology Nanjing University Computer Architecture Computer architecture, like other architecture, is the art

More information

Computers as Components Principles of Embedded Computing System Design

Computers as Components Principles of Embedded Computing System Design Computers as Components Principles of Embedded Computing System Design Third Edition Marilyn Wolf ELSEVIER AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD PARIS SAN DIEGO SAN FRANCISCO SINGAPORE SYDNEY

More information

CS 654 Computer Architecture Summary. Peter Kemper

CS 654 Computer Architecture Summary. Peter Kemper CS 654 Computer Architecture Summary Peter Kemper Chapters in Hennessy & Patterson Ch 1: Fundamentals Ch 2: Instruction Level Parallelism Ch 3: Limits on ILP Ch 4: Multiprocessors & TLP Ap A: Pipelining

More information

Structured Parallel Programming

Structured Parallel Programming Structured Parallel Programming Patterns for Efficient Computation Michael McCool Arch D. Robison James Reinders ELSEVIER AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD PARIS SAN DIEGO SAN FRANCISCO

More information

Honorary Professor Supercomputer Education and Research Centre Indian Institute of Science, Bangalore

Honorary Professor Supercomputer Education and Research Centre Indian Institute of Science, Bangalore COMPUTER ORGANIZATION AND ARCHITECTURE V. Rajaraman Honorary Professor Supercomputer Education and Research Centre Indian Institute of Science, Bangalore T. Radhakrishnan Professor of Computer Science

More information

Structured Parallel Programming Patterns for Efficient Computation

Structured Parallel Programming Patterns for Efficient Computation Structured Parallel Programming Patterns for Efficient Computation Michael McCool Arch D. Robison James Reinders ELSEVIER AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD PARIS SAN DIEGO SAN FRANCISCO

More information

To Everyone... iii To Educators... v To Students... vi Acknowledgments... vii Final Words... ix References... x. 1 ADialogueontheBook 1

To Everyone... iii To Educators... v To Students... vi Acknowledgments... vii Final Words... ix References... x. 1 ADialogueontheBook 1 Contents To Everyone.............................. iii To Educators.............................. v To Students............................... vi Acknowledgments........................... vii Final Words..............................

More information

Programming with POSIX Threads

Programming with POSIX Threads Programming with POSIX Threads David R. Butenhof :vaddison-wesley Boston San Francisco New York Toronto Montreal London Munich Paris Madrid Capetown Sidney Tokyo Singapore Mexico City Contents List of

More information

Processors. Young W. Lim. May 12, 2016

Processors. Young W. Lim. May 12, 2016 Processors Young W. Lim May 12, 2016 Copyright (c) 2016 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version

More information

CPS104 Computer Organization and Programming Lecture 20: Superscalar processors, Multiprocessors. Robert Wagner

CPS104 Computer Organization and Programming Lecture 20: Superscalar processors, Multiprocessors. Robert Wagner CS104 Computer Organization and rogramming Lecture 20: Superscalar processors, Multiprocessors Robert Wagner Faster and faster rocessors So much to do, so little time... How can we make computers that

More information

Cache Organizations for Multi-cores

Cache Organizations for Multi-cores Lecture 26: Recap Announcements: Assgn 9 (and earlier assignments) will be ready for pick-up from the CS front office later this week Office hours: all day next Tuesday Final exam: Wednesday 13 th, 7:50-10am,

More information

Multiprocessors and Thread-Level Parallelism. Department of Electrical & Electronics Engineering, Amrita School of Engineering

Multiprocessors and Thread-Level Parallelism. Department of Electrical & Electronics Engineering, Amrita School of Engineering Multiprocessors and Thread-Level Parallelism Multithreading Increasing performance by ILP has the great advantage that it is reasonable transparent to the programmer, ILP can be quite limited or hard to

More information

Data Speculation Support for a Chip Multiprocessor Lance Hammond, Mark Willey, and Kunle Olukotun

Data Speculation Support for a Chip Multiprocessor Lance Hammond, Mark Willey, and Kunle Olukotun Data Speculation Support for a Chip Multiprocessor Lance Hammond, Mark Willey, and Kunle Olukotun Computer Systems Laboratory Stanford University http://www-hydra.stanford.edu A Chip Multiprocessor Implementation

More information

ELE 375 Final Exam Fall, 2000 Prof. Martonosi

ELE 375 Final Exam Fall, 2000 Prof. Martonosi ELE 375 Final Exam Fall, 2000 Prof. Martonosi Question Score 1 /10 2 /20 3 /15 4 /15 5 /10 6 /20 7 /20 8 /25 9 /30 10 /30 11 /30 12 /15 13 /10 Total / 250 Please write your answers clearly in the space

More information

4.1 Introduction 4.3 Datapath 4.4 Control 4.5 Pipeline overview 4.6 Pipeline control * 4.7 Data hazard & forwarding * 4.

4.1 Introduction 4.3 Datapath 4.4 Control 4.5 Pipeline overview 4.6 Pipeline control * 4.7 Data hazard & forwarding * 4. Chapter 4: CPU 4.1 Introduction 4.3 Datapath 4.4 Control 4.5 Pipeline overview 4.6 Pipeline control * 4.7 Data hazard & forwarding * 4.8 Control hazard 4.14 Concluding Rem marks Hazards Situations that

More information

Module 5 Introduction to Parallel Processing Systems

Module 5 Introduction to Parallel Processing Systems Module 5 Introduction to Parallel Processing Systems 1. What is the difference between pipelining and parallelism? In general, parallelism is simply multiple operations being done at the same time.this

More information

Non-uniform memory access machine or (NUMA) is a system where the memory access time to any region of memory is not the same for all processors.

Non-uniform memory access machine or (NUMA) is a system where the memory access time to any region of memory is not the same for all processors. CS 320 Ch. 17 Parallel Processing Multiple Processor Organization The author makes the statement: "Processors execute programs by executing machine instructions in a sequence one at a time." He also says

More information

Computer Organization and Design

Computer Organization and Design Computer Organization and Design THE H A R D W A R E / S O F T W A R E I N T E R F A C E John L. Hennessy Stanford University David A. Patterson University of California at Berkeley With a contribution

More information

Chapter 2: Memory Hierarchy Design Part 2

Chapter 2: Memory Hierarchy Design Part 2 Chapter 2: Memory Hierarchy Design Part 2 Introduction (Section 2.1, Appendix B) Caches Review of basics (Section 2.1, Appendix B) Advanced methods (Section 2.3) Main Memory Virtual Memory Fundamental

More information

M (~ Computer Organization and Design ELSEVIER. David A. Patterson. John L. Hennessy. University of California, Berkeley. Stanford University

M (~ Computer Organization and Design ELSEVIER. David A. Patterson. John L. Hennessy. University of California, Berkeley. Stanford University T H I R D EDITION REVISED Computer Organization and Design THE HARDWARE/SOFTWARE INTERFACE David A. Patterson University of California, Berkeley John L. Hennessy Stanford University With contributions

More information

ROEVER ENGINEERING COLLEGE DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

ROEVER ENGINEERING COLLEGE DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING ROEVER ENGINEERING COLLEGE DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING 16 MARKS CS 2354 ADVANCE COMPUTER ARCHITECTURE 1. Explain the concepts and challenges of Instruction-Level Parallelism. Define

More information

Microprocessor Theory

Microprocessor Theory Microprocessor Theory and Applications with 68000/68020 and Pentium M. RAFIQUZZAMAN, Ph.D. Professor California State Polytechnic University Pomona, California and President Rafi Systems, Inc. WILEY A

More information

Lecture notes for CS Chapter 2, part 1 10/23/18

Lecture notes for CS Chapter 2, part 1 10/23/18 Chapter 2: Memory Hierarchy Design Part 2 Introduction (Section 2.1, Appendix B) Caches Review of basics (Section 2.1, Appendix B) Advanced methods (Section 2.3) Main Memory Virtual Memory Fundamental

More information

Lecture 29 Review" CPU time: the best metric" Be sure you understand CC, clock period" Common (and good) performance metrics"

Lecture 29 Review CPU time: the best metric Be sure you understand CC, clock period Common (and good) performance metrics Be sure you understand CC, clock period Lecture 29 Review Suggested reading: Everything Q1: D[8] = D[8] + RF[1] + RF[4] I[15]: Add R2, R1, R4 RF[1] = 4 I[16]: MOV R3, 8 RF[4] = 5 I[17]: Add R2, R2, R3

More information

6x86 PROCESSOR Superscalar, Superpipelined, Sixth-generation, x86 Compatible CPU

6x86 PROCESSOR Superscalar, Superpipelined, Sixth-generation, x86 Compatible CPU 1-6x86 PROCESSOR Superscalar, Superpipelined, Sixth-generation, x86 Compatible CPU Product Overview Introduction 1. ARCHITECTURE OVERVIEW The Cyrix 6x86 CPU is a leader in the sixth generation of high

More information

Processor Performance and Parallelism Y. K. Malaiya

Processor Performance and Parallelism Y. K. Malaiya Processor Performance and Parallelism Y. K. Malaiya Processor Execution time The time taken by a program to execute is the product of n Number of machine instructions executed n Number of clock cycles

More information

Chapter 2. Parallel Hardware and Parallel Software. An Introduction to Parallel Programming. The Von Neuman Architecture

Chapter 2. Parallel Hardware and Parallel Software. An Introduction to Parallel Programming. The Von Neuman Architecture An Introduction to Parallel Programming Peter Pacheco Chapter 2 Parallel Hardware and Parallel Software 1 The Von Neuman Architecture Control unit: responsible for deciding which instruction in a program

More information

Instruction Level Parallelism. Appendix C and Chapter 3, HP5e

Instruction Level Parallelism. Appendix C and Chapter 3, HP5e Instruction Level Parallelism Appendix C and Chapter 3, HP5e Outline Pipelining, Hazards Branch prediction Static and Dynamic Scheduling Speculation Compiler techniques, VLIW Limits of ILP. Implementation

More information

Exploring different level of parallelism Instruction-level parallelism (ILP): how many of the operations/instructions in a computer program can be performed simultaneously 1. e = a + b 2. f = c + d 3.

More information

EE382 Processor Design. Illinois

EE382 Processor Design. Illinois EE382 Processor Design Winter 1998 Chapter 8 Lectures Multiprocessors Part II EE 382 Processor Design Winter 98/99 Michael Flynn 1 Illinois EE 382 Processor Design Winter 98/99 Michael Flynn 2 1 Write-invalidate

More information

DEPARTMENT OF ELECTRONICS & COMMUNICATION ENGINEERING QUESTION BANK

DEPARTMENT OF ELECTRONICS & COMMUNICATION ENGINEERING QUESTION BANK DEPARTMENT OF ELECTRONICS & COMMUNICATION ENGINEERING QUESTION BANK SUBJECT : CS6303 / COMPUTER ARCHITECTURE SEM / YEAR : VI / III year B.E. Unit I OVERVIEW AND INSTRUCTIONS Part A Q.No Questions BT Level

More information

COSC 6385 Computer Architecture - Thread Level Parallelism (I)

COSC 6385 Computer Architecture - Thread Level Parallelism (I) COSC 6385 Computer Architecture - Thread Level Parallelism (I) Edgar Gabriel Spring 2014 Long-term trend on the number of transistor per integrated circuit Number of transistors double every ~18 month

More information

Fundamentals of. Parallel Computing. Sanjay Razdan. Alpha Science International Ltd. Oxford, U.K.

Fundamentals of. Parallel Computing. Sanjay Razdan. Alpha Science International Ltd. Oxford, U.K. Fundamentals of Parallel Computing Sanjay Razdan Alpha Science International Ltd. Oxford, U.K. CONTENTS Preface Acknowledgements vii ix 1. Introduction to Parallel Computing 1.1-1.37 1.1 Parallel Computing

More information

East Tennessee State University Department of Computer and Information Sciences CSCI 4717 Computer Architecture TEST 3 for Fall Semester, 2005

East Tennessee State University Department of Computer and Information Sciences CSCI 4717 Computer Architecture TEST 3 for Fall Semester, 2005 Points missed: Student's Name: Total score: /100 points East Tennessee State University Department of Computer and Information Sciences CSCI 4717 Computer Architecture TEST 3 for Fall Semester, 2005 Section

More information

INTELLIGENCE PLUS CHARACTER - THAT IS THE GOAL OF TRUE EDUCATION UNIT-I

INTELLIGENCE PLUS CHARACTER - THAT IS THE GOAL OF TRUE EDUCATION UNIT-I UNIT-I 1. List and explain the functional units of a computer with a neat diagram 2. Explain the computer levels of programming languages 3. a) Explain about instruction formats b) Evaluate the arithmetic

More information

Copyright 2012, Elsevier Inc. All rights reserved.

Copyright 2012, Elsevier Inc. All rights reserved. Computer Architecture A Quantitative Approach, Fifth Edition Chapter 2 Memory Hierarchy Design 1 Introduction Introduction Programmers want unlimited amounts of memory with low latency Fast memory technology

More information

Computer Architecture. A Quantitative Approach, Fifth Edition. Chapter 2. Memory Hierarchy Design. Copyright 2012, Elsevier Inc. All rights reserved.

Computer Architecture. A Quantitative Approach, Fifth Edition. Chapter 2. Memory Hierarchy Design. Copyright 2012, Elsevier Inc. All rights reserved. Computer Architecture A Quantitative Approach, Fifth Edition Chapter 2 Memory Hierarchy Design 1 Programmers want unlimited amounts of memory with low latency Fast memory technology is more expensive per

More information

Wenisch Final Review. Fall 2007 Prof. Thomas Wenisch EECS 470. Slide 1

Wenisch Final Review. Fall 2007 Prof. Thomas Wenisch  EECS 470. Slide 1 Final Review Fall 2007 Prof. Thomas Wenisch http://www.eecs.umich.edu/courses/eecs470 Slide 1 Announcements Wenisch 2007 Exam is Monday, 12/17 4 6 in this room I recommend bringing a scientific calculator

More information

MULTIPROCESSORS AND THREAD-LEVEL. B649 Parallel Architectures and Programming

MULTIPROCESSORS AND THREAD-LEVEL. B649 Parallel Architectures and Programming MULTIPROCESSORS AND THREAD-LEVEL PARALLELISM B649 Parallel Architectures and Programming Motivation behind Multiprocessors Limitations of ILP (as already discussed) Growing interest in servers and server-performance

More information

MULTIPROCESSORS AND THREAD-LEVEL PARALLELISM. B649 Parallel Architectures and Programming

MULTIPROCESSORS AND THREAD-LEVEL PARALLELISM. B649 Parallel Architectures and Programming MULTIPROCESSORS AND THREAD-LEVEL PARALLELISM B649 Parallel Architectures and Programming Motivation behind Multiprocessors Limitations of ILP (as already discussed) Growing interest in servers and server-performance

More information

A Cache Hierarchy in a Computer System

A Cache Hierarchy in a Computer System A Cache Hierarchy in a Computer System Ideally one would desire an indefinitely large memory capacity such that any particular... word would be immediately available... We are... forced to recognize the

More information

CHAPTER 8: CPU and Memory Design, Enhancement, and Implementation

CHAPTER 8: CPU and Memory Design, Enhancement, and Implementation CHAPTER 8: CPU and Memory Design, Enhancement, and Implementation The Architecture of Computer Hardware, Systems Software & Networking: An Information Technology Approach 5th Edition, Irv Englander John

More information

Computer Organization and Design, 5th Edition: The Hardware/Software Interface

Computer Organization and Design, 5th Edition: The Hardware/Software Interface Computer Organization and Design, 5th Edition: The Hardware/Software Interface 1 Computer Abstractions and Technology 1.1 Introduction 1.2 Eight Great Ideas in Computer Architecture 1.3 Below Your Program

More information

What is Pipelining? RISC remainder (our assumptions)

What is Pipelining? RISC remainder (our assumptions) What is Pipelining? Is a key implementation techniques used to make fast CPUs Is an implementation techniques whereby multiple instructions are overlapped in execution It takes advantage of parallelism

More information

Application Programming

Application Programming Multicore Application Programming For Windows, Linux, and Oracle Solaris Darryl Gove AAddison-Wesley Upper Saddle River, NJ Boston Indianapolis San Francisco New York Toronto Montreal London Munich Paris

More information

Copyright 2012, Elsevier Inc. All rights reserved.

Copyright 2012, Elsevier Inc. All rights reserved. Computer Architecture A Quantitative Approach, Fifth Edition Chapter 2 Memory Hierarchy Design 1 Introduction Programmers want unlimited amounts of memory with low latency Fast memory technology is more

More information

CS 1013 Advance Computer Architecture UNIT I

CS 1013 Advance Computer Architecture UNIT I CS 1013 Advance Computer Architecture UNIT I 1. What are embedded computers? List their characteristics. Embedded computers are computers that are lodged into other devices where the presence of the computer

More information

Module 18: "TLP on Chip: HT/SMT and CMP" Lecture 39: "Simultaneous Multithreading and Chip-multiprocessing" TLP on Chip: HT/SMT and CMP SMT

Module 18: TLP on Chip: HT/SMT and CMP Lecture 39: Simultaneous Multithreading and Chip-multiprocessing TLP on Chip: HT/SMT and CMP SMT TLP on Chip: HT/SMT and CMP SMT Multi-threading Problems of SMT CMP Why CMP? Moore s law Power consumption? Clustered arch. ABCs of CMP Shared cache design Hierarchical MP file:///e /parallel_com_arch/lecture39/39_1.htm[6/13/2012

More information

Portland State University ECE 588/688. Cray-1 and Cray T3E

Portland State University ECE 588/688. Cray-1 and Cray T3E Portland State University ECE 588/688 Cray-1 and Cray T3E Copyright by Alaa Alameldeen 2014 Cray-1 A successful Vector processor from the 1970s Vector instructions are examples of SIMD Contains vector

More information

Portland State University ECE 588/688. Graphics Processors

Portland State University ECE 588/688. Graphics Processors Portland State University ECE 588/688 Graphics Processors Copyright by Alaa Alameldeen 2018 Why Graphics Processors? Graphics programs have different characteristics from general purpose programs Highly

More information

A Multiprocessor system generally means that more than one instruction stream is being executed in parallel.

A Multiprocessor system generally means that more than one instruction stream is being executed in parallel. Multiprocessor Systems A Multiprocessor system generally means that more than one instruction stream is being executed in parallel. However, Flynn s SIMD machine classification, also called an array processor,

More information

2 MARKS Q&A 1 KNREDDY UNIT-I

2 MARKS Q&A 1 KNREDDY UNIT-I 2 MARKS Q&A 1 KNREDDY UNIT-I 1. What is bus; list the different types of buses with its function. A group of lines that serves as a connecting path for several devices is called a bus; TYPES: ADDRESS BUS,

More information

CSC 631: High-Performance Computer Architecture

CSC 631: High-Performance Computer Architecture CSC 631: High-Performance Computer Architecture Spring 2017 Lecture 10: Memory Part II CSC 631: High-Performance Computer Architecture 1 Two predictable properties of memory references: Temporal Locality:

More information

Pipeline and Vector Processing 1. Parallel Processing SISD SIMD MISD & MIMD

Pipeline and Vector Processing 1. Parallel Processing SISD SIMD MISD & MIMD Pipeline and Vector Processing 1. Parallel Processing Parallel processing is a term used to denote a large class of techniques that are used to provide simultaneous data-processing tasks for the purpose

More information

Serial. Parallel. CIT 668: System Architecture 2/14/2011. Topics. Serial and Parallel Computation. Parallel Computing

Serial. Parallel. CIT 668: System Architecture 2/14/2011. Topics. Serial and Parallel Computation. Parallel Computing CIT 668: System Architecture Parallel Computing Topics 1. What is Parallel Computing? 2. Why use Parallel Computing? 3. Types of Parallelism 4. Amdahl s Law 5. Flynn s Taxonomy of Parallel Computers 6.

More information

Memory Hierarchy Computing Systems & Performance MSc Informatics Eng. Memory Hierarchy (most slides are borrowed)

Memory Hierarchy Computing Systems & Performance MSc Informatics Eng. Memory Hierarchy (most slides are borrowed) Computing Systems & Performance Memory Hierarchy MSc Informatics Eng. 2012/13 A.J.Proença Memory Hierarchy (most slides are borrowed) AJProença, Computer Systems & Performance, MEI, UMinho, 2012/13 1 2

More information

CSCI 4717 Computer Architecture

CSCI 4717 Computer Architecture CSCI 4717/5717 Computer Architecture Topic: Symmetric Multiprocessors & Clusters Reading: Stallings, Sections 18.1 through 18.4 Classifications of Parallel Processing M. Flynn classified types of parallel

More information

Portland State University ECE 587/687. Caches and Memory-Level Parallelism

Portland State University ECE 587/687. Caches and Memory-Level Parallelism Portland State University ECE 587/687 Caches and Memory-Level Parallelism Revisiting Processor Performance Program Execution Time = (CPU clock cycles + Memory stall cycles) x clock cycle time For each

More information

Computer Systems Architecture I. CSE 560M Lecture 18 Guest Lecturer: Shakir James

Computer Systems Architecture I. CSE 560M Lecture 18 Guest Lecturer: Shakir James Computer Systems Architecture I CSE 560M Lecture 18 Guest Lecturer: Shakir James Plan for Today Announcements No class meeting on Monday, meet in project groups Project demos < 2 weeks, Nov 23 rd Questions

More information

EI338: Computer Systems and Engineering (Computer Architecture & Operating Systems)

EI338: Computer Systems and Engineering (Computer Architecture & Operating Systems) EI338: Computer Systems and Engineering (Computer Architecture & Operating Systems) Chentao Wu 吴晨涛 Associate Professor Dept. of Computer Science and Engineering Shanghai Jiao Tong University SEIEE Building

More information

Computer Architecture A Quantitative Approach, Fifth Edition. Chapter 2. Memory Hierarchy Design. Copyright 2012, Elsevier Inc. All rights reserved.

Computer Architecture A Quantitative Approach, Fifth Edition. Chapter 2. Memory Hierarchy Design. Copyright 2012, Elsevier Inc. All rights reserved. Computer Architecture A Quantitative Approach, Fifth Edition Chapter 2 Memory Hierarchy Design 1 Introduction Programmers want unlimited amounts of memory with low latency Fast memory technology is more

More information

Introduction to parallel computers and parallel programming. Introduction to parallel computersand parallel programming p. 1

Introduction to parallel computers and parallel programming. Introduction to parallel computersand parallel programming p. 1 Introduction to parallel computers and parallel programming Introduction to parallel computersand parallel programming p. 1 Content A quick overview of morden parallel hardware Parallelism within a chip

More information

CPU Structure and Function

CPU Structure and Function Computer Architecture Computer Architecture Prof. Dr. Nizamettin AYDIN naydin@yildiz.edu.tr nizamettinaydin@gmail.com http://www.yildiz.edu.tr/~naydin CPU Structure and Function 1 2 CPU Structure Registers

More information

CS433 Final Exam. Prof Josep Torrellas. December 12, Time: 2 hours

CS433 Final Exam. Prof Josep Torrellas. December 12, Time: 2 hours CS433 Final Exam Prof Josep Torrellas December 12, 2006 Time: 2 hours Name: Instructions: 1. This is a closed-book, closed-notes examination. 2. The Exam has 6 Questions. Please budget your time. 3. Calculators

More information

TDT Coarse-Grained Multithreading. Review on ILP. Multi-threaded execution. Contents. Fine-Grained Multithreading

TDT Coarse-Grained Multithreading. Review on ILP. Multi-threaded execution. Contents. Fine-Grained Multithreading Review on ILP TDT 4260 Chap 5 TLP & Hierarchy What is ILP? Let the compiler find the ILP Advantages? Disadvantages? Let the HW find the ILP Advantages? Disadvantages? Contents Multi-threading Chap 3.5

More information

University of Toronto Faculty of Applied Science and Engineering

University of Toronto Faculty of Applied Science and Engineering Print: First Name:............ Solutions............ Last Name:............................. Student Number:............................................... University of Toronto Faculty of Applied Science

More information

Superscalar Processors

Superscalar Processors Superscalar Processors Superscalar Processor Multiple Independent Instruction Pipelines; each with multiple stages Instruction-Level Parallelism determine dependencies between nearby instructions o input

More information

Portland State University ECE 588/688. IBM Power4 System Microarchitecture

Portland State University ECE 588/688. IBM Power4 System Microarchitecture Portland State University ECE 588/688 IBM Power4 System Microarchitecture Copyright by Alaa Alameldeen 2018 IBM Power4 Design Principles SMP optimization Designed for high-throughput multi-tasking environments

More information

EECC551 Exam Review 4 questions out of 6 questions

EECC551 Exam Review 4 questions out of 6 questions EECC551 Exam Review 4 questions out of 6 questions (Must answer first 2 questions and 2 from remaining 4) Instruction Dependencies and graphs In-order Floating Point/Multicycle Pipelining (quiz 2) Improving

More information

CS Computer Architecture

CS Computer Architecture CS 35101 Computer Architecture Section 600 Dr. Angela Guercio Fall 2010 An Example Implementation In principle, we could describe the control store in binary, 36 bits per word. We will use a simple symbolic

More information

Algorithmic Graph Theory and Perfect Graphs

Algorithmic Graph Theory and Perfect Graphs Algorithmic Graph Theory and Perfect Graphs Second Edition Martin Charles Golumbic Caesarea Rothschild Institute University of Haifa Haifa, Israel 2004 ELSEVIER.. Amsterdam - Boston - Heidelberg - London

More information

CSE502 Graduate Computer Architecture. Lec 22 Goodbye to Computer Architecture and Review

CSE502 Graduate Computer Architecture. Lec 22 Goodbye to Computer Architecture and Review CSE502 Graduate Computer Architecture Lec 22 Goodbye to Computer Architecture and Review Larry Wittie Computer Science, StonyBrook University http://www.cs.sunysb.edu/~cse502 and ~lw Slides adapted from

More information

EITF20: Computer Architecture Part 5.2.1: IO and MultiProcessor

EITF20: Computer Architecture Part 5.2.1: IO and MultiProcessor EITF20: Computer Architecture Part 5.2.1: IO and MultiProcessor Liang Liu liang.liu@eit.lth.se 1 Outline Reiteration I/O MultiProcessor Summary 2 Virtual memory benifits Using physical memory efficiently

More information

Improving Cache Performance and Memory Management: From Absolute Addresses to Demand Paging. Highly-Associative Caches

Improving Cache Performance and Memory Management: From Absolute Addresses to Demand Paging. Highly-Associative Caches Improving Cache Performance and Memory Management: From Absolute Addresses to Demand Paging 6.823, L8--1 Asanovic Laboratory for Computer Science M.I.T. http://www.csg.lcs.mit.edu/6.823 Highly-Associative

More information

EUROPEAN PATENT OFFICE U.S. PATENT AND TRADEMARK OFFICE CPC NOTICE OF CHANGES 266 DATE: AUGUST 1, 2016 PROJECT RP0311

EUROPEAN PATENT OFFICE U.S. PATENT AND TRADEMARK OFFICE CPC NOTICE OF CHANGES 266 DATE: AUGUST 1, 2016 PROJECT RP0311 EUROPEAN PATENT OFFICE U.S. PATENT AND TRADEMARK OFFICE The following classification changes will be effected by this Notice of Changes: Action Subclass Group(s) Title wording change: G06F 12/00 G06F 12/0802

More information

PIPELINE AND VECTOR PROCESSING

PIPELINE AND VECTOR PROCESSING PIPELINE AND VECTOR PROCESSING PIPELINING: Pipelining is a technique of decomposing a sequential process into sub operations, with each sub process being executed in a special dedicated segment that operates

More information

CS6303 Computer Architecture Regulation 2013 BE-Computer Science and Engineering III semester 2 MARKS

CS6303 Computer Architecture Regulation 2013 BE-Computer Science and Engineering III semester 2 MARKS CS6303 Computer Architecture Regulation 2013 BE-Computer Science and Engineering III semester 2 MARKS UNIT-I OVERVIEW & INSTRUCTIONS 1. What are the eight great ideas in computer architecture? The eight

More information

LRU. Pseudo LRU A B C D E F G H A B C D E F G H H H C. Copyright 2012, Elsevier Inc. All rights reserved.

LRU. Pseudo LRU A B C D E F G H A B C D E F G H H H C. Copyright 2012, Elsevier Inc. All rights reserved. LRU A list to keep track of the order of access to every block in the set. The least recently used block is replaced (if needed). How many bits we need for that? 27 Pseudo LRU A B C D E F G H A B C D E

More information

Pipelining, Branch Prediction, Trends

Pipelining, Branch Prediction, Trends Pipelining, Branch Prediction, Trends 10.1-10.4 Topics 10.1 Quantitative Analyses of Program Execution 10.2 From CISC to RISC 10.3 Pipelining the Datapath Branch Prediction, Delay Slots 10.4 Overlapping

More information

Three basic multiprocessing issues

Three basic multiprocessing issues Three basic multiprocessing issues 1. artitioning. The sequential program must be partitioned into subprogram units or tasks. This is done either by the programmer or by the compiler. 2. Scheduling. Associated

More information

SPECULATIVE MULTITHREADED ARCHITECTURES

SPECULATIVE MULTITHREADED ARCHITECTURES 2 SPECULATIVE MULTITHREADED ARCHITECTURES In this Chapter, the execution model of the speculative multithreading paradigm is presented. This execution model is based on the identification of pairs of instructions

More information

Multiprocessors and Locking

Multiprocessors and Locking Types of Multiprocessors (MPs) Uniform memory-access (UMA) MP Access to all memory occurs at the same speed for all processors. Multiprocessors and Locking COMP9242 2008/S2 Week 12 Part 1 Non-uniform memory-access

More information