ECE331: Hardware Organization and Design
|
|
- Bethany Dean
- 5 years ago
- Views:
Transcription
1 ECE331: Hadwae Oganization and Design Lectue 16: Pipelining Adapted fom Compute Oganization and Design, Patteson & Hennessy, UCB
2 Last time: single cycle data path op System clock affects pimaily the Pogam Counte ECE331: Pipelining 2
3 Oveview Single-cycle MIPs datapath pesented so fa Not ovely efficient. Components of the datapath can be used moe efficiently Idea! Put egistes between stages of the datapath Clock used to update egiste values All stages pefom an opeation on evey clock cycle Pipelined datapath: the basis fo almost all moden micopocessos! ECE331: Pipelining 3
4 Speeding up though pipelining Ann, Bian, Cathy, Dave each have one load of clothes to wash, dy, and fold Washe takes 30 minutes Dye takes 30 minutes Folde takes 30 minutes Stashe takes 30 minutes to put clothes into dawes A B C D ECE331: Pipelining 4
5 T a s k O d e Sequential Laundy A B C D 6 PM AM Sequential laundy takes 8 hous fo 4 loads If they leaned pipelining, how long would laundy take? ECE331: Pipelining Time
6 Pipelined Laundy: Stat wok ASAP T a s k O d e 12 2 AM 6 PM A B C D Time Pipelined laundy takes 3.5 hous fo 4 loads! ECE331: Pipelining 6
7 Pipelining Lessons T a s k O d e A B C D 6 PM Time Pipelining doesn t help latency of single task, it helps thoughput of entie wokload Multiple tasks opeating simultaneously using diffeent esouces Potential speedup = Numbe pipe stages Pipeline ate limited by slowest pipeline stage Unbalanced lengths of pipe stages educes speedup Time to fill pipeline and time to dain it educes speedup ECE331: Pipelining 7
8 MIPs Datapath Datapath contains 5 stages Instuction fetch (IF), Decode (ID), Execute (EX), Memoy (Mem), Witeback (W) PC Instuction Memoy Registes A L U Data Memoy Stage 1 (IF) Stage 2 (ID) Stage 3 (EX) Stage 4 (Mem) Stage 5 (W) Can I pipeline the MIPs stages? ECE331: Pipelining 8
9 Pipelining Instuctions Time (in cycles) Instuction IF ID EX M W IF ID EX M W IF ID EX M W IF ID EX M W Fetch = 200 ps Decode = 100 ps Execute = 200 ps Memoy = 200 ps Wite back = 100 ps IF ID EX M W IF ID EX M W What is the latency fo this pipeline? ECE331: Pipelining 9
10 Pipeline Pefomance Single-cycle (T c = 800ps) Pipelined (T c = 200ps) ECE331: Pipelining 10
11 Why Pipeline? Because the esouces ae thee! Time (clock cycles) I n s t. O d e Inst 1 Inst 2 Inst 3 Inst 4 Inst 5 Im Reg Dm Reg Im Reg Dm Reg Im Reg Dm Reg Im Reg Dm Reg Im Reg Dm Reg ECE331: Pipelining 11
12 MIPS Pipelined Datapath State egistes between pipeline stages to isolate them IF:IFetch ID:Dec EX:Execute MEM: MemAccess WB: WiteBack Inst 5 Inst 4 Inst 3 Inst 2 Inst 1 Add PC 4 Instuction Memoy Read Addess IFetch/Dec Read Add 1 Registe Read Read Add Data 2 1 File Wite Add Wite Data Read Data 2 Dec/Exec Shift left 2 Add Exec/Mem Addess Wite Data Data Memoy Read Data Mem/WB Sign 16 Extend 32 System Clock ECE331: Pipelining 12
13 Pipeline Hazads Data hazads: an instuction uses the esult of a pevious instuction (RAW) ADD R1, R2, R3 o SW R1, 4(R2) SUB R4, R1, R5 LW R3, 4(R2) Contol hazads: the addess of the next instuction to be executed depends on a pevious instuction BEQ R1,R2,CONT SUB R6,R7,R8 CONT: ADD R3,R4,R5 Stuctual hazads: two instuctions need access to the same esouce e.g., single memoy shaed fo instuction fetch and load/stoe ECE331: Pipelining 13
14 Stuctual Hazad Time (clock cycles) I n s t. lw Inst 1 Mem Reg Mem Reg Mem Reg Mem Reg Reading data fom memoy O d e Inst 2 Inst 3 Mem Reg Mem Reg Mem Reg Mem Reg Inst 4 Reading instuction fom memoy Mem Reg Mem Reg Fix with sepaate instuction and data memoies (I$ and D$) ECE331: Pipelining 14
15 Data Hazads Time (in cycles) IF ID EX M W Instuction IF ID EX M W Get data fom R1 Hee Wite Data to R1 Hee ADD R1, R2, R3 SUB R4, R1, R5 ECE331: Pipelining 15
16 One Way to handle a Data Hazad I n s t. add $1, stall By waiting intoducing stalls but impacts pefomace O d e stall stall sub $4,$1,$5 ECE331: Pipelining 16
17 I n s t. Additional Way to Fix a Data Hazad Time add $1, sub $4,$1,$5 by fowading O d e and $6,$1,$7 o $8,$1,$9 xo $4,$1,$5 ECE331: Pipelining 17
18 I n s t. Intenal data fowading Time add $1, sub $4,$1,$5 Fix data hazads by fowading esults to whee they ae needed O d e and $6,$1,$7 o $8,$1,$9 xo $4,$1,$5 ECE331: Pipelining 18 -to- fowading vs. full fowading
19 Fowading with Load-use Data Hazads Time I n s t. lw $1,4($2) sub $4,$1,$5 O d e and $6,$1,$7 o $8,$1,$9 xo $4,$1,$5 sub needs to stall Will still need one stall cycle even with fowading ECE331: Pipelining 19
20 Contol Hazad Time (in cycles) IF ID EX M W Instuction Destination Available Hee IF ID EX M W Need Destination Hee JR R25... XX: ADD... Simple solution: Flush Instuction fetch until banch esolved ECE331: Pipelining 20
21 Summay Pipelined pocessos ae fundamental. Spend the time to undestand why pipelining is impotant The use of pipelining geatly impoves micopocesso pefomance The clock fo micopocessos is about 3 GHz today Hazads can be a difficult concept Convince youself with examples Next-Next time: Contol hazads! ECE331: Pipelining 21
Introduction To Pipelining. Chapter Pipelining1 1
Intoduction To Pipelining Chapte 6.1 - Pipelining1 1 Mooe s Law Mooe s Law says that the numbe of pocessos on a chip doubles about evey 18 months. Given the data on the following two slides, is this tue?
More informationComputer Science 141 Computing Hardware
Compute Science 141 Computing Hadwae Fall 2006 Havad Univesity Instucto: Pof. David Books dbooks@eecs.havad.edu [MIPS Pipeline Slides adapted fom Dave Patteson s UCB CS152 slides and May Jane Iwin s CSE331/431
More informationLecture 8 Introduction to Pipelines Adapated from slides by David Patterson
Lectue 8 Intoduction to Pipelines Adapated fom slides by David Patteson http://www-inst.eecs.bekeley.edu/~cs61c/ * 1 Review (1/3) Datapath is the hadwae that pefoms opeations necessay to execute pogams.
More informationUCB CS61C : Machine Structures
inst.eecs.bekeley.edu/~cs61c UCB CS61C : Machine Stuctues Lectue SOE Dan Gacia Lectue 28 CPU Design : Pipelining to Impove Pefomance 2010-04-05 Stanfod Reseaches have invented a monitoing technique called
More informationThe Processor: Improving Performance Data Hazards
The Pocesso: Impoving Pefomance Data Hazads Monday 12 Octobe 15 Many slides adapted fom: and Design, Patteson & Hennessy 5th Edition, 2014, MK and fom Pof. May Jane Iwin, PSU Summay Pevious Class Pipeline
More informationCMCS Mohamed Younis CMCS 611, Advanced Computer Architecture 1
CMCS 611-101 Advanced Compute Achitectue Lectue 6 Intoduction to Pipelining Septembe 23, 2009 www.csee.umbc.edu/~younis/cmsc611/cmsc611.htm Mohamed Younis CMCS 611, Advanced Compute Achitectue 1 Pevious
More informationCOSC 6385 Computer Architecture. - Pipelining
COSC 6385 Compute Achitectue - Pipelining Sping 2012 Some of the slides ae based on a lectue by David Culle, Pipelining Pipelining is an implementation technique wheeby multiple instuctions ae ovelapped
More informationCS 61C: Great Ideas in Computer Architecture. Pipelining Hazards. Instructor: Senior Lecturer SOE Dan Garcia
CS 61C: Geat Ideas in Compute Achitectue Pipelining Hazads Instucto: Senio Lectue SOE Dan Gacia 1 Geat Idea #4: Paallelism So9wae Paallel Requests Assigned to compute e.g. seach Gacia Paallel Theads Assigned
More informationLecture Topics ECE 341. Lecture # 12. Control Signals. Control Signals for Datapath. Basic Processing Unit. Pipelining
EE 341 Lectue # 12 Instucto: Zeshan hishti zeshan@ece.pdx.edu Novembe 10, 2014 Potland State Univesity asic Pocessing Unit ontol Signals Hadwied ontol Datapath contol signals Dealing with memoy delay Pipelining
More informationChapter 4 (Part III) The Processor: Datapath and Control (Pipeline Hazards)
Chapte 4 (Pat III) The Pocesso: Datapath and Contol (Pipeline Hazads) 陳瑞奇 (J.C. Chen) 亞洲大學資訊工程學系 Adapted fom class notes by Pof. M.J. Iwin, PSU and Pof. D. Patteson, UCB 1 吃感冒藥副作用怎麼辦? http://big5.sznews.com/health/images/attachement/jpg/site3/20120319/001558d90b3310d0c1683e.jpg
More informationCISC 662 Graduate Computer Architecture Lecture 6 - Hazards
CISC 662 Gaduate Compute Achitectue Lectue 6 - Hazads Michela Taufe http://www.cis.udel.edu/~taufe/teaching/cis662f07 Powepoint Lectue Notes fom John Hennessy and David Patteson s: Compute Achitectue,
More informationCENG 3420 Computer Organization and Design. Lecture 07: MIPS Processor - II. Bei Yu
CENG 3420 Compute Oganization and Design Lectue 07: MIPS Pocesso - II Bei Yu CEG3420 L07.1 Sping 2016 Review: Instuction Citical Paths q Calculate cycle time assuming negligible delays (fo muxes, contol
More informationComputer Architecture. Pipelining and Instruction Level Parallelism An Introduction. Outline of This Lecture
Compute Achitectue Pipelining and nstuction Level Paallelism An ntoduction Adapted fom COD2e by Hennessy & Patteson Slide 1 Outline of This Lectue ntoduction to the Concept of Pipelined Pocesso Pipelined
More informationECE331: Hardware Organization and Design
ECE331: Hardware Organization and Design Lecture 35: Final Exam Review Adapted from Computer Organization and Design, Patterson & Hennessy, UCB Material from Earlier in the Semester Throughput and latency
More informationCENG 3420 Lecture 07: Pipeline
CENG 3420 Lectue 07: Pipeline Bei Yu byu@cse.cuhk.edu.hk CENG3420 L07.1 Sping 2017 Outline q Review: Flip-Flop Contol Signals q Pipeline Motivations q Pipeline Hazads q Exceptions CENG3420 L07.2 Sping
More informationUser Visible Registers. CPU Structure and Function Ch 11. General CPU Organization (4) Control and Status Registers (5) Register Organisation (4)
PU Stuctue and Function h Geneal Oganisation Registes Instuction ycle Pipelining anch Pediction Inteupts Use Visible Registes Vaies fom one achitectue to anothe Geneal pupose egiste (GPR) ata, addess,
More informationAdministrivia. CMSC 411 Computer Systems Architecture Lecture 5. Data Hazard Even with Forwarding Figure A.9, Page A-20
Administivia CMSC 411 Compute Systems Achitectue Lectue 5 Basic Pipelining (cont.) Alan Sussman als@cs.umd.edu as@csu dedu Homewok poblems fo Unit 1 due today Homewok poblems fo Unit 3 posted soon CMSC
More informationCOEN-4730 Computer Architecture Lecture 2 Review of Instruction Sets and Pipelines
1 COEN-4730 Compute Achitectue Lectue 2 Review of nstuction Sets and Pipelines Cistinel Ababei Dept. of Electical and Compute Engineeing Maquette Univesity Cedits: Slides adapted fom pesentations of Sudeep
More informationComputer Architecture. Lecture 6.1: Fundamentals of
CS3350B Computer Architecture Winter 2015 Lecture 6.1: Fundamentals of Instructional Level Parallelism Marc Moreno Maza www.csd.uwo.ca/courses/cs3350b [Adapted from lectures on Computer Organization and
More informationCS 61C: Great Ideas in Computer Architecture (Machine Structures) Instruc>on Level Parallelism
Agenda CS 61C: Geat Ideas in Compute Achitectue (Machine Stuctues) Instuc>on Level Paallelism Instuctos: Randy H. Katz David A. PaJeson hjp://inst.eecs.bekeley.edu/~cs61c/fa10 Review Instuc>on Set Design
More informationYou Are Here! Review: Hazards. Agenda. Agenda. Review: Load / Branch Delay Slots 7/28/2011
CS 61C: Geat Ideas in Compute Achitectue (Machine Stuctues) Instuction Level Paallelism: Multiple Instuction Issue Guest Lectue: Justin Hsia Softwae Paallel Requests Assigned to compute e.g., Seach Katz
More informationCS 2461: Computer Architecture 1 Program performance and High Performance Processors
Couse Objectives: Whee ae we. CS 2461: Pogam pefomance and High Pefomance Pocessos Instucto: Pof. Bhagi Naahai Bits&bytes: Logic devices HW building blocks Pocesso: ISA, datapath Using building blocks
More informationLecture #22 Pipelining II, Cache I
inst.eecs.bekeley.edu/~cs61c CS61C : Machine Stuctues Lectue #22 Pipelining II, Cache I Wiewold cicuits 2008-7-29 http://www.maa.og/editoial/mathgames/mathgames_05_24_04.html http://www.quinapalus.com/wi-index.html
More informationCS 61C: Great Ideas in Computer Architecture Instruc(on Level Parallelism: Mul(ple Instruc(on Issue
CS 61C: Geat Ideas in Compute Achitectue Instuc(on Level Paallelism: Mul(ple Instuc(on Issue Instuctos: Kste Asanovic, Randy H. Katz hbp://inst.eecs.bekeley.edu/~cs61c/fa12 1 Paallel Requests Assigned
More informationCPE 335 Computer Organization. Basic MIPS Pipelining Part I
CPE 335 Computer Organization Basic MIPS Pipelining Part I Dr. Iyad Jafar Adapted from Dr. Gheith Abandah slides http://www.abandah.com/gheith/courses/cpe335_s08/index.html CPE232 Basic MIPS Pipelining
More informationChapter 4 The Processor 1. Chapter 4A. The Processor
Chapter 4 The Processor 1 Chapter 4A The Processor Chapter 4 The Processor 2 Introduction CPU performance factors Instruction count Determined by ISA and compiler CPI and Cycle time Determined by CPU hardware
More informationLecture 7 Pipelining. Peng Liu.
Lecture 7 Pipelining Peng Liu liupeng@zju.edu.cn 1 Review: The Single Cycle Processor 2 Review: Given Datapath,RTL -> Control Instruction Inst Memory Adr Op Fun Rt
More informationPipeline: Introduction
Pipeline: Introduction These slides are derived from: CSCE430/830 Computer Architecture course by Prof. Hong Jiang and Dave Patterson UCB Some figures and tables have been derived from : Computer System
More informationCSE4201. Computer Architecture
CSE 4201 Compute Achitectue Pof. Mokhta Aboelaze Pats of these slides ae taken fom Notes by Pof. David Patteson at UCB Outline MIPS and instuction set Simple pipeline in MIPS Stuctual and data hazads Fowading
More informationELCT 501: Digital System Design
ELCT 501: Digital System Lecture 8: Pipelining Dr. Mohamed Abd El Ghany, Pipelining: Its Natural! Laundry Example Ann, brian, cathy, Dave each have one load of clothes to wash, dry, and fold Washer takes
More informationReview from last lecture
CSE820 Gaduate Compute Achitectue Week 3 Pefomance + Pipeline Review Based on slides by David Patteson Review fom last lectue Tacking and extapolating technology pat of achitect s esponsibility Expect
More informationThe Processor. Z. Jerry Shi Department of Computer Science and Engineering University of Connecticut. CSE3666: Introduction to Computer Architecture
The Processor Z. Jerry Shi Department of Computer Science and Engineering University of Connecticut CSE3666: Introduction to Computer Architecture Introduction CPU performance factors Instruction count
More informationOutline Marquette University
COEN-4710 Computer Hardware Lecture 4 Processor Part 2: Pipelining (Ch.4) Cristinel Ababei Department of Electrical and Computer Engineering Credits: Slides adapted primarily from presentations from Mike
More informationECE232: Hardware Organization and Design
ECE232: Hardware Organization and Design Lecture 17: Pipelining Wrapup Adapted from Computer Organization and Design, Patterson & Hennessy, UCB Outline The textbook includes lots of information Focus on
More informationCS 110 Computer Architecture. Pipelining. Guest Lecture: Shu Yin. School of Information Science and Technology SIST
CS 110 Computer Architecture Pipelining Guest Lecture: Shu Yin http://shtech.org/courses/ca/ School of Information Science and Technology SIST ShanghaiTech University Slides based on UC Berkley's CS61C
More informationMIPS Pipelining. Computer Organization Architectures for Embedded Computing. Wednesday 8 October 14
MIPS Pipelining Computer Organization Architectures for Embedded Computing Wednesday 8 October 14 Many slides adapted from: Computer Organization and Design, Patterson & Hennessy 4th Edition, 2011, MK
More informationCPS104 Computer Organization and Programming Lecture 19: Pipelining. Robert Wagner
CPS104 Computer Organization and Programming Lecture 19: Pipelining Robert Wagner cps 104 Pipelining..1 RW Fall 2000 Lecture Overview A Pipelined Processor : Introduction to the concept of pipelined processor.
More informationComputer Systems Architecture Spring 2016
Computer Systems Architecture Spring 2016 Lecture 01: Introduction Shuai Wang Department of Computer Science and Technology Nanjing University [Adapted from Computer Architecture: A Quantitative Approach,
More informationPage 1. Pipelining: Its Natural! Chapter 3. Pipelining. Pipelined Laundry Start work ASAP. Sequential Laundry A B C D. 6 PM Midnight
Pipelining: Its Natural! Chapter 3 Pipelining Laundry Example Ann, Brian, Cathy, Dave each have one load of clothes to wash, dry, and fold Washer takes 30 minutes A B C D Dryer takes 40 minutes Folder
More informationPipelining. Maurizio Palesi
* Pipelining * Adapted from David A. Patterson s CS252 lecture slides, http://www.cs.berkeley/~pattrsn/252s98/index.html Copyright 1998 UCB 1 References John L. Hennessy and David A. Patterson, Computer
More informationLecture 3. Pipelining. Dr. Soner Onder CS 4431 Michigan Technological University 9/23/2009 1
Lecture 3 Pipelining Dr. Soner Onder CS 4431 Michigan Technological University 9/23/2009 1 A "Typical" RISC ISA 32-bit fixed format instruction (3 formats) 32 32-bit GPR (R0 contains zero, DP take pair)
More informationLecture 3: The Processor (Chapter 4 of textbook) Chapter 4.1
Lecture 3: The Processor (Chapter 4 of textbook) Chapter 4.1 Introduction Chapter 4.1 Chapter 4.2 Review: MIPS (RISC) Design Principles Simplicity favors regularity fixed size instructions small number
More informationThe Processor Pipeline. Chapter 4, Patterson and Hennessy, 4ed. Section 5.3, 5.4: J P Hayes.
The Processor Pipeline Chapter 4, Patterson and Hennessy, 4ed. Section 5.3, 5.4: J P Hayes. Pipeline A Basic MIPS Implementation Memory-reference instructions Load Word (lw) and Store Word (sw) ALU instructions
More informationCOMP2611: Computer Organization. The Pipelined Processor
COMP2611: Computer Organization The 1 2 Background 2 High-Performance Processors 3 Two techniques for designing high-performance processors by exploiting parallelism: Multiprocessing: parallelism among
More informationPipelining: Overview. CPSC 252 Computer Organization Ellen Walker, Hiram College
Pipelining: Overview CPSC 252 Computer Organization Ellen Walker, Hiram College Pipelining the Wash Divide into 4 steps: Wash, Dry, Fold, Put Away Perform the steps in parallel Wash 1 Wash 2, Dry 1 Wash
More informationCS 61C: Great Ideas in Computer Architecture Control and Pipelining
CS 6C: Great Ideas in Computer Architecture Control and Pipelining Instructors: Vladimir Stojanovic and Nicholas Weaver http://inst.eecs.berkeley.edu/~cs6c/sp6 Datapath Control Signals ExtOp: zero, sign
More informationReview: Moore s Law. EECS 252 Graduate Computer Architecture Lecture 2. Review: Joy s Law in ManyCore world. Bell s Law new class per decade
EECS 252 Gaduate Compute Achitectue Lectue 2 ℵ 0 Review of Instuction Sets, Pipelines, and Caches Januay 26 th, 2009 Review Mooe s Law John Kubiatowicz Electical Engineeing and Compute Sciences Univesity
More informationModern Computer Architecture
Modern Computer Architecture Lecture2 Pipelining: Basic and Intermediate Concepts Hongbin Sun 国家集成电路人才培养基地 Xi an Jiaotong University Pipelining: Its Natural! Laundry Example Ann, Brian, Cathy, Dave each
More informationMidnight Laundry. IC220 Set #19: Laundry, Co-dependency, and other Hazards of Modern (Architecture) Life. Return to Chapter 4
IC220 Set #9: Laundry, Co-dependency, and other Hazards of Modern (Architecture) Life Return to Chapter 4 Midnight Laundry Task order A B C D 6 PM 7 8 9 0 2 2 AM 2 Smarty Laundry Task order A B C D 6 PM
More informationLecture 6: Pipelining
Lecture 6: Pipelining i CSCE 26 Computer Organization Instructor: Saraju P. ohanty, Ph. D. NOTE: The figures, text etc included in slides are borrowed from various books, websites, authors pages, and other
More informationECE260: Fundamentals of Computer Engineering
Pipelining James Moscola Dept. of Engineering & Computer Science York College of Pennsylvania Based on Computer Organization and Design, 5th Edition by Patterson & Hennessy What is Pipelining? Pipelining
More informationWorking on the Pipeline
Computer Science 6C Spring 27 Working on the Pipeline Datapath Control Signals Computer Science 6C Spring 27 MemWr: write memory MemtoReg: ALU; Mem RegDst: rt ; rd RegWr: write register 4 PC Ext Imm6 Adder
More informationIntroduction to Pipelined Datapath
14:332:331 Computer Architecture and Assembly Language Week 12 Introduction to Pipelined Datapath [Adapted from Dave Patterson s UCB CS152 slides and Mary Jane Irwin s PSU CSE331 slides] 331 W12.1 Review:
More informationData Hazards Compiler Scheduling Pipeline scheduling or instruction scheduling: Compiler generates code to eliminate hazard
Data Hazards Compiler Scheduling Pipeline scheduling or instruction scheduling: Compiler generates code to eliminate hazard Consider: a = b + c; d = e - f; Assume loads have a latency of one clock cycle:
More information14:332:331 Pipelined Datapath
14:332:331 Pipelined Datapath I n s t r. O r d e r Inst 0 Inst 1 Inst 2 Inst 3 Inst 4 Single Cycle Disadvantages & Advantages Uses the clock cycle inefficiently the clock cycle must be timed to accommodate
More informationPre-requisites. This is a textbook-based course. Chapter 1. Pipelines, Performance, Caches, and Virtual Memory. January 2009 Paul H J Kelly
332 Advanced Compute Achitectue Chapte 1 Intoduction and eview of Pipelines, Pefomance, Caches, and Vitual Januay 2009 Paul H J Kelly These lectue notes ae patly based on the couse text, Hennessy and Patteson
More informationCSE 141 Computer Architecture Spring Lectures 11 Exceptions and Introduction to Pipelining. Announcements
CSE 4 Computer Architecture Spring 25 Lectures Exceptions and Introduction to Pipelining May 4, 25 Announcements Reading Assignment Sections 5.6, 5.9 The Processor Datapath and Control Section 6., Enhancing
More informationOverview. Appendix A. Pipelining: Its Natural! Sequential Laundry 6 PM Midnight. Pipelined Laundry: Start work ASAP
Overview Appendix A Pipelining: Basic and Intermediate Concepts Basics of Pipelining Pipeline Hazards Pipeline Implementation Pipelining + Exceptions Pipeline to handle Multicycle Operations 1 2 Unpipelined
More information3/12/2014. Single Cycle (Review) CSE 2021: Computer Organization. Single Cycle with Jump. Multi-Cycle Implementation. Why Multi-Cycle?
CSE 2021: Computer Organization Single Cycle (Review) Lecture-10b CPU Design : Pipelining-1 Overview, Datapath and control Shakil M. Khan 2 Single Cycle with Jump Multi-Cycle Implementation Instruction:
More informationLecture 05: Pipelining: Basic/ Intermediate Concepts and Implementation
Lecture 05: Pipelining: Basic/ Intermediate Concepts and Implementation CSE 564 Computer Architecture Summer 2017 Department of Computer Science and Engineering Yonghong Yan yan@oakland.edu www.secs.oakland.edu/~yan
More informationAppendix A. Overview
Appendix A Pipelining: Basic and Intermediate Concepts 1 Overview Basics of Pipelining Pipeline Hazards Pipeline Implementation Pipelining + Exceptions Pipeline to handle Multicycle Operations 2 1 Unpipelined
More informationCENG 3531 Computer Architecture Spring a. T / F A processor can have different CPIs for different programs.
Exam 2 April 12, 2012 You have 80 minutes to complete the exam. Please write your answers clearly and legibly on this exam paper. GRADE: Name. Class ID. 1. (22 pts) Circle the selected answer for T/F and
More informationOverview of Control. CS 152 Computer Architecture and Engineering Lecture 11. Multicycle Controller Design
S 152 ompute chitectue and Engineeing Lectue 11 Multicycle ontolle Design Oveview of ontol ontol may be designed using one of seveal initial epesentations. The choice of sequence contol, and how logic
More informationChapter 5 (a) Overview
Chapter 5 (a) Overview (a) The principles of pipelining (a) A pipelined design of SRC (b) Pipeline hazards (b) Instruction-level parallelism (ILP) Superscalar processors Very Long Instruction Word (VLIW)
More informationChapter 3 & Appendix C Pipelining Part A: Basic and Intermediate Concepts
CS359: Computer Architecture Chapter 3 & Appendix C Pipelining Part A: Basic and Intermediate Concepts Yanyan Shen Department of Computer Science and Engineering Shanghai Jiao Tong University Parallel
More informationChapter 8. Pipelining
Chapter 8. Pipelining Overview Pipelining is widely used in modern processors. Pipelining improves system performance in terms of throughput. Pipelined organization requires sophisticated compilation techniques.
More informationCPE Computer Architecture. Appendix A: Pipelining: Basic and Intermediate Concepts
CPE 110408443 Computer Architecture Appendix A: Pipelining: Basic and Intermediate Concepts Sa ed R. Abed [Computer Engineering Department, Hashemite University] Outline Basic concept of Pipelining The
More informationECS 154B Computer Architecture II Spring 2009
ECS 154B Computer Architecture II Spring 2009 Pipelining Datapath and Control 6.2-6.3 Partially adapted from slides by Mary Jane Irwin, Penn State And Kurtis Kredo, UCD Pipelined CPU Break execution into
More informationECE260: Fundamentals of Computer Engineering
ECE260: Fundamentals of Computer Engineering Pipelined Datapath and Control James Moscola Dept. of Engineering & Computer Science York College of Pennsylvania ECE260: Fundamentals of Computer Engineering
More informationPipelining. CSC Friday, November 6, 2015
Pipelining CSC 211.01 Friday, November 6, 2015 Performance Issues Longest delay determines clock period Critical path: load instruction Instruction memory register file ALU data memory register file Not
More informationChapter 4 The Processor 1. Chapter 4B. The Processor
Chapter 4 The Processor 1 Chapter 4B The Processor Chapter 4 The Processor 2 Control Hazards Branch determines flow of control Fetching next instruction depends on branch outcome Pipeline can t always
More informationLecture 6 Datapath and Controller
Lecture 6 Datapath and Controller Peng Liu liupeng@zju.edu.cn Windows Editor and Word Processing UltraEdit, EditPlus Gvim Linux or Mac IOS Emacs vi or vim Word Processing(Windows, Linux, and Mac IOS) LaTex
More informationEITF20: Computer Architecture Part2.2.1: Pipeline-1
EITF20: Computer Architecture Part2.2.1: Pipeline-1 Liang Liu liang.liu@eit.lth.se 1 Outline Reiteration Pipelining Harzards Structural hazards Data hazards Control hazards Implementation issues Multi-cycle
More informationCS 61C: Great Ideas in Computer Architecture Pipelining and Hazards
CS 61C: Great Ideas in Computer Architecture Pipelining and Hazards Instructors: Vladimir Stojanovic and Nicholas Weaver http://inst.eecs.berkeley.edu/~cs61c/sp16 1 Pipelined Execution Representation Time
More informationDesign a MIPS Processor (2/2)
93-2Digital System Design Design a MIPS Processor (2/2) Lecturer: Chihhao Chao Advisor: Prof. An-Yeu Wu 2005/5/13 Friday ACCESS IC LABORTORY Outline v 6.1 An Overview of Pipelining v 6.2 A Pipelined Datapath
More informationTopics. Lecture 12: Pipelining. Introduction to pipelining. Pipelined datapath. Hazards in pipeline. Performance. Design issues.
Lecture 2: Pipelining Topics Introduction to pipelining Performance Pipelined datapath Design issues Hazards in pipeline Types Solutions Pipelining is Natural! Laundry Example Use case scenario Ann, Brian,
More informationEITF20: Computer Architecture Part2.2.1: Pipeline-1
EITF20: Computer Architecture Part2.2.1: Pipeline-1 Liang Liu liang.liu@eit.lth.se 1 Outline Reiteration Pipelining Harzards Structural hazards Data hazards Control hazards Implementation issues Multi-cycle
More informationProcessor Architecture. Jin-Soo Kim Computer Systems Laboratory Sungkyunkwan University
Processor Architecture Jin-Soo Kim (jinsookim@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu Moore s Law Gordon Moore @ Intel (1965) 2 Computer Architecture Trends (1)
More informationPipelining: Basic and Intermediate Concepts
Appendix A Pipelining: Basic and Intermediate Concepts 1 Overview Basics of fpipelining i Pipeline Hazards Pipeline Implementation Pipelining + Exceptions Pipeline to handle Multicycle Operations 2 Unpipelined
More informationCENG 3420 Lecture 06: Pipeline
CENG 3420 Lecture 06: Pipeline Bei Yu byu@cse.cuhk.edu.hk CENG3420 L06.1 Spring 2019 Outline q Pipeline Motivations q Pipeline Hazards q Exceptions q Background: Flip-Flop Control Signals CENG3420 L06.2
More informationPipelining concepts The DLX architecture A simple DLX pipeline Pipeline Hazards and Solution to overcome
Pipeline Thoai Nam Outline Pipelining concepts The DLX architecture A simple DLX pipeline Pipeline Hazards and Solution to overcome Reference: Computer Architecture: A Quantitative Approach, John L Hennessy
More informationComputer and Information Sciences College / Computer Science Department Enhancing Performance with Pipelining
Computer and Information Sciences College / Computer Science Department Enhancing Performance with Pipelining Single-Cycle Design Problems Assuming fixed-period clock every instruction datapath uses one
More informationCSCI 402: Computer Architectures. Fengguang Song Department of Computer & Information Science IUPUI. Today s Content
3/6/8 CSCI 42: Computer Architectures The Processor (2) Fengguang Song Department of Computer & Information Science IUPUI Today s Content We have looked at how to design a Data Path. 4.4, 4.5 We will design
More informationSI232 Set #20: Laundry, Co-dependency, and other Hazards of Modern (Architecture) Life. Chapter 6 ADMIN. Reading for Chapter 6: 6.1,
SI232 Set #20: Laundry, Co-dependency, and other Hazards of Modern (Architecture) Life Chapter 6 ADMIN ing for Chapter 6: 6., 6.9-6.2 2 Midnight Laundry Task order A 6 PM 7 8 9 0 2 2 AM B C D 3 Smarty
More informationProcessor Architecture
Processor Architecture Jinkyu Jeong (jinkyu@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu SSE2030: Introduction to Computer Systems, Spring 2018, Jinkyu Jeong (jinkyu@skku.edu)
More informationECE154A Introduction to Computer Architecture. Homework 4 solution
ECE154A Introduction to Computer Architecture Homework 4 solution 4.16.1 According to Figure 4.65 on the textbook, each register located between two pipeline stages keeps data shown below. Register IF/ID
More informationPipeline Overview. Dr. Jiang Li. Adapted from the slides provided by the authors. Jiang Li, Ph.D. Department of Computer Science
Pipeline Overview Dr. Jiang Li Adapted from the slides provided by the authors Outline MIPS An ISA for Pipelining 5 stage pipelining Structural and Data Hazards Forwarding Branch Schemes Exceptions and
More informationLecture 9. Pipeline Hazards. Christos Kozyrakis Stanford University
Lecture 9 Pipeline Hazards Christos Kozyrakis Stanford University http://eeclass.stanford.edu/ee18b 1 Announcements PA-1 is due today Electronic submission Lab2 is due on Tuesday 2/13 th Quiz1 grades will
More informationCISC 662 Graduate Computer Architecture Lecture 6 - Hazards
CISC 662 Graduate Computer Architecture Lecture 6 - Hazards Michela Taufer http://www.cis.udel.edu/~taufer/teaching/cis662f07 Powerpoint Lecture Notes from John Hennessy and David Patterson s: Computer
More informationFull Datapath. CSCI 402: Computer Architectures. The Processor (2) 3/21/19. Fengguang Song Department of Computer & Information Science IUPUI
CSCI 42: Computer Architectures The Processor (2) Fengguang Song Department of Computer & Information Science IUPUI Full Datapath Branch Target Instruction Fetch Immediate 4 Today s Contents We have looked
More informationCS 230 Practice Final Exam & Actual Take-home Question. Part I: Assembly and Machine Languages (22 pts)
Part I: Assembly and Machine Languages (22 pts) 1. Assume that assembly code for the following variable definitions has already been generated (and initialization of A and length). int powerof2; /* powerof2
More informationECE331: Hardware Organization and Design
ECE331: Hardware Organization and Design Lecture 27: Midterm2 review Adapted from Computer Organization and Design, Patterson & Hennessy, UCB Midterm 2 Review Midterm will cover Section 1.6: Processor
More informationAdvanced Parallel Architecture Lessons 5 and 6. Annalisa Massini /2017
Advanced Parallel Architecture Lessons 5 and 6 Annalisa Massini - Pipelining Hennessy, Patterson Computer architecture A quantitive approach Appendix C Sections C.1, C.2 Pipelining Pipelining is an implementation
More informationPipelining concepts The DLX architecture A simple DLX pipeline Pipeline Hazards and Solution to overcome
Thoai Nam Pipelining concepts The DLX architecture A simple DLX pipeline Pipeline Hazards and Solution to overcome Reference: Computer Architecture: A Quantitative Approach, John L Hennessy & David a Patterson,
More informationPipelining Analogy. Pipelined laundry: overlapping execution. Parallelism improves performance. Four loads: Non-stop: Speedup = 8/3.5 = 2.3.
Pipelining Analogy Pipelined laundry: overlapping execution Parallelism improves performance Four loads: Speedup = 8/3.5 = 2.3 Non-stop: Speedup =2n/05n+15 2n/0.5n 1.5 4 = number of stages 4.5 An Overview
More informationCOMPUTER ORGANIZATION AND DESIGN. 5 th Edition. The Hardware/Software Interface. Chapter 4. The Processor
COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface 5 th Edition Chapter 4 The Processor Introduction CPU performance factors Instruction count Determined by ISA and compiler CPI and Cycle
More informationEITF20: Computer Architecture Part2.2.1: Pipeline-1
EITF20: Computer Architecture Part2.2.1: Pipeline-1 Liang Liu liang.liu@eit.lth.se 1 Outline Reiteration Pipelining Harzards Structural hazards Data hazards Control hazards Implementation issues Multi-cycle
More informationECEC 355: Pipelining
ECEC 355: Pipelining November 8, 2007 What is Pipelining Pipelining is an implementation technique whereby multiple instructions are overlapped in execution. A pipeline is similar in concept to an assembly
More informationInstruction word R0 R1 R2 R3 R4 R5 R6 R8 R12 R31
4.16 Exercises 419 Exercise 4.11 In this exercise we examine in detail how an instruction is executed in a single-cycle datapath. Problems in this exercise refer to a clock cycle in which the processor
More informationComputer Architecture
Lecture 3: Pipelining Iakovos Mavroidis Computer Science Department University of Crete 1 Previous Lecture Measurements and metrics : Performance, Cost, Dependability, Power Guidelines and principles in
More information