What about branches? Branch outcomes are not known until EXE What are our options?

Size: px
Start display at page:

Download "What about branches? Branch outcomes are not known until EXE What are our options?"

Transcription

1 What about branches? Branch outcomes are not known until E What are our options? 1

2 Control Hazards 2

3 Today Quiz Control Hazards Midterm review Return your papers 3

4 Key Points: Control Hazards Control occur when we don t know what the next instruction is Mostly caused by branches Strategies for aling with them Stall Guess! Leads to speculation Flushing the pipeline Strategies for making better guesses Unrstand the difference between stall and flush 4

5 Control Hazards add $s1, $s3, $s2 Computing the new PC sub $s6, $s5, $s2 beq $s6, $s7, somewhere and $s2, $s3, $s1 Fetch Deco Mem Write back 5

6 Computing the PC Non-branch instruction PC = PC + 4 When is PC ready? 6

7 Computing the PC Branch instructions bne $s1, $s2, offset if ($s1!= $s2) { PC = PC + offset} else {PC = PC + 4;} When is the value ready? 7

8 Computing the PC Wait, when we do know? if (Instruction is branch) { if ($s1!= $s2) { PC = PC + offset; } else { PC = PC + 4; } } else { PC = PC + 4; } 8

9 There is a constant control hazard We don t even know what kind of instruction we have until co. Let s consir the non-branch case first. What do we do? 9

10 Option 1: Smart ISA sign Cycles Fetch Deco Mem Write back Fetch Deco Mem Write back Fetch Deco Mem Write back Fetch Deco Mem Write back Make it very easy to tell if the instruction is a branch -- maybe a single bit or just a couple. Deco is trivial Pre-co -- Do part of co when the instruction comes on chip. more on this later 10

11 Option 2: The compiler Use branch lay slots. The next N instructions after a branch are always executed Good Simple hardware Bad N cannot change. 11

12 Delay slots. Cycles Taken bne $t2, $s0, somewhere Fetch Deco Mem Write back Branch Delay add $t2, $s4, $t1 add $s0, $t0, $t1 Fetch Deco Mem Write back Fetch Deco Mem Wri bac... somewhere: sub $t2, $s0, $t3 Fetch Deco Me 12

13 Option 4: Stall Cycles add $s0, $t0, $t1 Fetch Deco Mem Write back bne $t2, $s0, somewhere Fetch Deco Mem Write back sub $t2, $s0, $t3 Stall Fetch Deco sub $t2, $s0, $t3 Fetch Deco What does this do to our CPI? Speedup? 13

14 Performance impact of stalling ET = I * CPI * CT Branches about about 1 in 5 instructions What s the CPI for branches? = 3 This is really the CPI for the instruction that follows the branch. Speedup = 1/(.2/(1/3) + (.8) = ET = 1 * (.2*3 +.8 * 1) * 1 =

15 Option 2: Simple Prediction Can a processor tell the future? For non-taken branches, the new PC is ready immediately. Let s just assume the branch is not taken Also called branch prediction or control speculation What if we are wrong? 15

16 Predict Not-taken Cycles Not-taken bne $t2, $s0, somewhere Fetch Deco Mem Write back Taken bne $t2, $s4, else Fetch Deco Mem Write back add $s0, $t0, $t1 Fetch Deco Mem Write back Squash... else: sub $t2, $s0, $t3 Fetch Deco We start the add, and then, when we discover the branch outcome, we squash it. We flush the pipeline. 16

17 Simple static Prediction static means before run time Many prediction schemes are possible Predict taken Pros? Predict not-taken Pros? Loops are commons Not all branches are for loops. Backward Taken/Forward not taken Best of both worlds. 17

18 Implementing Backward taken/forward not taken 01 2!"#$ %$$&"''.//!6+$';A?+'!"#$%&'()" *+,)%-!"#$+%$$& #$+%!"#$+%$$& (&)*"+%$$& (&)*"+,#*#!"#$ +,#*#+-!"#$ +,#*#+.?+'ABC+' :;5< 7+<=>.//.89 BC+'A*+, %$$&"'' *+,)%-!"#$,#*# *+,ADE :54" -/ BC$+"/ 0.

19 Implementing Backward taken/forward not Compute target taken Sign Extend Shi< le< 2 Add Insert bubble PC 4 Read Address Add Instruc(on Memory IFetch/Dec Read Addr 1 Register Read Addr 2 File Write Addr Write Data Read Data 1 Read Data 2 Dec/Exec Shi< le< 2 Add ALU Exec/Mem Address Write Data Data Memory Read Data Mem/WB Sign 16 Extend 32

20 Implementing Backward taken/forward not taken Changes in control New inputs to the control unit The sign of the offset The result of the branch New outputs from control The flush signal. Inserts noop bits in datapath and control 20

21 Performance Impact ET = I * CPI * CT Back taken, forward not taken is 80% accurate Branches are 20% of instructions Changing the front end increases the cycle time by 10% What is the speedup Bt/Fnt compared to just stalling on every branch? 21

22 Performance Impact ET = I * CPI * CT Back taken, forward not taken is 80% accurate Branches are 20% of instructions Changing the front end increases the cycle time by 10% What is the speedup Bt/Fnt compared to just stalling on every branch? Btfnt CPI = 0.2*0.2*(1 + 2) + (1-.2*.2)*1 = CT = 1.1 ET = Stall CPI =.2*3 +.8*1 = 1.4 CT = 1 ET = 1.4 Speed up = 1.4/1.188 =

23 The Importance of Pipeline pth There are two important parameters of the pipeline that termine the impact of branches on performance Branch co time -- how many cycles does it take to intify a branch (in our case, this is less than 1) Branch resolution time -- cycles until the real branch outcome is known (in our case, this is 2 cycles) 23

24 Pentium 4 pipeline 1.Branches take 19 cycles to resolve 2.Intifying a branch takes 4 cycles. 3.Stalling is not an option.

25 Performance Impact ET = I * CPI * CT Back taken, forward not taken is 80% accurate Branches are 20% of instructions Changing the front end increases the cycle time by 10% What is the speedup Bt/Fnt compared to just stalling on every branch? Btfnt What if this we 20? CPI =.2*.2*(1 + 2) +.9*1 CT = 1.1 ET = Stall CPI =.2*4 +.8*1 = 1.6 CT = 1 ET = 1.4 Speed up = 1.4/1.118 =

26 Performance Impact ET = I * CPI * CT Back taken, forward not taken is 80% accurate Branches are 20% of instructions Changing the front end increases the cycle time by 10% What is the speedup Bt/Fnt compared to just stalling on every branch? Btfnt CPI =.2*.2*(1 + 20) +.8*1 = 1.64 CT = 1.1 ET = Stall CPI =.2*(1 + 20) +.8*1 = 5 CT = 1 ET = 5 Speed up = 5/1.804=

27 Dynamic Branch Prediction Long pipes mand higher accuracy than static schemes can liver. Instead of making the the guess once, make it every time we see the branch. Predict future behavior based on past behavior 27

Quiz 5 Mini project #1 solution Mini project #2 assigned Stalling recap Branches!

Quiz 5 Mini project #1 solution Mini project #2 assigned Stalling recap Branches! Control Hazards 1 Today Quiz 5 Mini project #1 solution Mini project #2 assigned Stalling recap Branches! 2 Key Points: Control Hazards Control hazards occur when we don t know which instruction to execute

More information

What about branches? Branch outcomes are not known until EXE What are our options?

What about branches? Branch outcomes are not known until EXE What are our options? What about branches? Branch outcomes are not known until EXE What are our options? 1 Control Hazards 2 Today Quiz Control Hazards Midterm review Return your papers 3 Key Points: Control Hazards Control

More information

Quiz 5 Mini project #1 solution Mini project #2 assigned Stalling recap Branches!

Quiz 5 Mini project #1 solution Mini project #2 assigned Stalling recap Branches! Control Hazards 1 Today Quiz 5 Mini project #1 solution Mini project #2 assigned Stalling recap Branches! 2 Key Points: Control Hazards Control hazards occur when we don t know which instruction to execute

More information

Implementing a MIPS Processor. Readings:

Implementing a MIPS Processor. Readings: Implementing a MIPS Processor Readings: 4.1-4.11 1 Goals for this Class Unrstand how CPUs run programs How do we express the computation the CPU? How does the CPU execute it? How does the CPU support other

More information

Implementing a MIPS Processor. Readings:

Implementing a MIPS Processor. Readings: Implementing a MIPS Processor Readings: 4.1-4.11 1 Goals for this Class Unrstand how CPUs run programs How do we express the computation the CPU? How does the CPU execute it? How does the CPU support other

More information

1 Hazards COMP2611 Fall 2015 Pipelined Processor

1 Hazards COMP2611 Fall 2015 Pipelined Processor 1 Hazards Dependences in Programs 2 Data dependence Example: lw $1, 200($2) add $3, $4, $1 add can t do ID (i.e., read register $1) until lw updates $1 Control dependence Example: bne $1, $2, target add

More information

Pipeline design. Mehran Rezaei

Pipeline design. Mehran Rezaei Pipeline design Mehran Rezaei How Can We Improve the Performance? Exec Time = IC * CPI * CCT Optimization IC CPI CCT Source Level * Compiler * * ISA * * Organization * * Technology * With Pipelining We

More information

Midnight Laundry. IC220 Set #19: Laundry, Co-dependency, and other Hazards of Modern (Architecture) Life. Return to Chapter 4

Midnight 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 information

ELE 655 Microprocessor System Design

ELE 655 Microprocessor System Design ELE 655 Microprocessor System Design Section 2 Instruction Level Parallelism Class 1 Basic Pipeline Notes: Reg shows up two places but actually is the same register file Writes occur on the second half

More information

Pipelining is Hazardous!

Pipelining is Hazardous! Pipelining is Hazardous! Hazards are situations where pipelining does not work as elegantly as we would like Three kinds Structural hazards -- we have run out of a hardware resource. Data hazards -- an

More information

Pipelining. Ideal speedup is number of stages in the pipeline. Do we achieve this? 2. Improve performance by increasing instruction throughput ...

Pipelining. Ideal speedup is number of stages in the pipeline. Do we achieve this? 2. Improve performance by increasing instruction throughput ... CHAPTER 6 1 Pipelining Instruction class Instruction memory ister read ALU Data memory ister write Total (in ps) Load word 200 100 200 200 100 800 Store word 200 100 200 200 700 R-format 200 100 200 100

More information

Orange Coast College. Business Division. Computer Science Department. CS 116- Computer Architecture. Pipelining

Orange Coast College. Business Division. Computer Science Department. CS 116- Computer Architecture. Pipelining Orange Coast College Business Division Computer Science Department CS 116- Computer Architecture Pipelining Recall Pipelining is parallelizing execution Key to speedups in processors Split instruction

More information

COMPUTER ORGANIZATION AND DESI

COMPUTER ORGANIZATION AND DESI COMPUTER ORGANIZATION AND DESIGN 5 Edition th The Hardware/Software Interface Chapter 4 The Processor 4.1 Introduction Introduction CPU performance factors Instruction count Determined by ISA and compiler

More information

14:332:331 Pipelined Datapath

14:332:331 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 information

Control Hazards - branching causes problems since the pipeline can be filled with the wrong instructions.

Control Hazards - branching causes problems since the pipeline can be filled with the wrong instructions. Control Hazards - branching causes problems since the pipeline can be filled with the wrong instructions Stage Instruction Fetch Instruction Decode Execution / Effective addr Memory access Write-back Abbreviation

More information

Pipelining. CSC Friday, November 6, 2015

Pipelining. 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 information

Chapter 4 The Processor 1. Chapter 4B. The Processor

Chapter 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 information

Advanced Parallel Architecture Lessons 5 and 6. Annalisa Massini /2017

Advanced 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 information

Pipelining - Part 2. CSE Computer Systems October 19, 2001

Pipelining - Part 2. CSE Computer Systems October 19, 2001 Pipelining - Part 2 CSE 410 - Computer Systems October 19, 2001 Readings and References Reading Sections 6.4 through 6.6, Patterson and Hennessy, Computer Organization & Design Other References 19-Oct-2001

More information

ECE473 Computer Architecture and Organization. Pipeline: Control Hazard

ECE473 Computer Architecture and Organization. Pipeline: Control Hazard Computer Architecture and Organization Pipeline: Control Hazard Lecturer: Prof. Yifeng Zhu Fall, 2015 Portions of these slides are derived from: Dave Patterson UCB Lec 15.1 Pipelining Outline Introduction

More information

Suggested Readings! Recap: Pipelining improves throughput! Processor comparison! Lecture 17" Short Pipelining Review! ! Readings!

Suggested Readings! Recap: Pipelining improves throughput! Processor comparison! Lecture 17 Short Pipelining Review! ! Readings! 1! 2! Suggested Readings!! Readings!! H&P: Chapter 4.5-4.7!! (Over the next 3-4 lectures)! Lecture 17" Short Pipelining Review! 3! Processor components! Multicore processors and programming! Recap: Pipelining

More information

Data 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 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 information

3/12/2014. Single Cycle (Review) CSE 2021: Computer Organization. Single Cycle with Jump. Multi-Cycle Implementation. Why Multi-Cycle?

3/12/2014. 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 information

Department of Computer and IT Engineering University of Kurdistan. Computer Architecture Pipelining. By: Dr. Alireza Abdollahpouri

Department of Computer and IT Engineering University of Kurdistan. Computer Architecture Pipelining. By: Dr. Alireza Abdollahpouri Department of Computer and IT Engineering University of Kurdistan Computer Architecture Pipelining By: Dr. Alireza Abdollahpouri Pipelined MIPS processor Any instruction set can be implemented in many

More information

Pipelining 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: 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 information

CPU Pipelining Issues

CPU Pipelining Issues CPU Pipelining Issues What have you been beating your head against? This pipe stuff makes my head hurt! L17 Pipeline Issues & Memory 1 Pipelining Improve performance by increasing instruction throughput

More information

COSC 6385 Computer Architecture - Pipelining

COSC 6385 Computer Architecture - Pipelining COSC 6385 Computer Architecture - Pipelining Fall 2006 Some of the slides are based on a lecture by David Culler, Instruction Set Architecture Relevant features for distinguishing ISA s Internal storage

More information

MIPS Pipelining. Computer Organization Architectures for Embedded Computing. Wednesday 8 October 14

MIPS 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 information

Full Datapath. Chapter 4 The Processor 2

Full Datapath. Chapter 4 The Processor 2 Pipelining Full Datapath Chapter 4 The Processor 2 Datapath With Control Chapter 4 The Processor 3 Performance Issues Longest delay determines clock period Critical path: load instruction Instruction memory

More information

ECE154A Introduction to Computer Architecture. Homework 4 solution

ECE154A 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 information

Chapter 4. The Processor

Chapter 4. The Processor Chapter 4 The Processor Introduction CPU performance factors Instruction count Determined by ISA and compiler CPI and Cycle time Determined by CPU hardware We will examine two MIPS implementations A simplified

More information

ECE260: Fundamentals of Computer Engineering

ECE260: 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 information

CS252 Prerequisite Quiz. Solutions Fall 2007

CS252 Prerequisite Quiz. Solutions Fall 2007 CS252 Prerequisite Quiz Krste Asanovic Solutions Fall 2007 Problem 1 (29 points) The followings are two code segments written in MIPS64 assembly language: Segment A: Loop: LD r5, 0(r1) # r5 Mem[r1+0] LD

More information

CSE Lecture 13/14 In Class Handout For all of these problems: HAS NOT CANNOT Add Add Add must wait until $5 written by previous add;

CSE Lecture 13/14 In Class Handout For all of these problems: HAS NOT CANNOT Add Add Add must wait until $5 written by previous add; CSE 30321 Lecture 13/14 In Class Handout For the sequence of instructions shown below, show how they would progress through the pipeline. For all of these problems: - Stalls are indicated by placing the

More information

Unresolved data hazards. CS2504, Spring'2007 Dimitris Nikolopoulos

Unresolved data hazards. CS2504, Spring'2007 Dimitris Nikolopoulos Unresolved data hazards 81 Unresolved data hazards Arithmetic instructions following a load, and reading the register updated by the load: if (ID/EX.MemRead and ((ID/EX.RegisterRt = IF/ID.RegisterRs) or

More information

Instr. execution impl. view

Instr. execution impl. view Pipelining Sangyeun Cho Computer Science Department Instr. execution impl. view Single (long) cycle implementation Multi-cycle implementation Pipelined implementation Processing an instruction Fetch instruction

More information

ECE232: Hardware Organization and Design

ECE232: 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 information

Processor (II) - pipelining. Hwansoo Han

Processor (II) - pipelining. Hwansoo Han Processor (II) - pipelining Hwansoo Han Pipelining Analogy Pipelined laundry: overlapping execution Parallelism improves performance Four loads: Speedup = 8/3.5 =2.3 Non-stop: 2n/0.5n + 1.5 4 = number

More information

Basic Instruction Timings. Pipelining 1. How long would it take to execute the following sequence of instructions?

Basic Instruction Timings. Pipelining 1. How long would it take to execute the following sequence of instructions? Basic Instruction Timings Pipelining 1 Making some assumptions regarding the operation times for some of the basic hardware units in our datapath, we have the following timings: Instruction class Instruction

More information

LECTURE 3: THE PROCESSOR

LECTURE 3: THE PROCESSOR LECTURE 3: THE PROCESSOR Abridged version of Patterson & Hennessy (2013):Ch.4 Introduction CPU performance factors Instruction count Determined by ISA and compiler CPI and Cycle time Determined by CPU

More information

What is Pipelining? Time per instruction on unpipelined machine Number of pipe stages

What is Pipelining? Time per instruction on unpipelined machine Number of pipe stages 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

CS 61C: Great Ideas in Computer Architecture Pipelining and Hazards

CS 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 information

Complex Pipelines and Branch Prediction

Complex Pipelines and Branch Prediction Complex Pipelines and Branch Prediction Daniel Sanchez Computer Science & Artificial Intelligence Lab M.I.T. L22-1 Processor Performance Time Program Instructions Program Cycles Instruction CPI Time Cycle

More information

Outline Marquette University

Outline 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 information

Static, multiple-issue (superscaler) pipelines

Static, multiple-issue (superscaler) pipelines Static, multiple-issue (superscaler) pipelines Start more than one instruction in the same cycle Instruction Register file EX + MEM + WB PC Instruction Register file EX + MEM + WB 79 A static two-issue

More information

Computer and Information Sciences College / Computer Science Department Enhancing Performance with Pipelining

Computer 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 information

Full Datapath. Chapter 4 The Processor 2

Full Datapath. Chapter 4 The Processor 2 Pipelining Full Datapath Chapter 4 The Processor 2 Datapath With Control Chapter 4 The Processor 3 Performance Issues Longest delay determines clock period Critical path: load instruction Instruction memory

More information

5008: Computer Architecture HW#2

5008: Computer Architecture HW#2 5008: Computer Architecture HW#2 1. We will now support for register-memory ALU operations to the classic five-stage RISC pipeline. To offset this increase in complexity, all memory addressing will be

More information

Chapter 4. The Processor

Chapter 4. The Processor Chapter 4 The Processor Introduction CPU performance factors Instruction count Determined by ISA and compiler CPI and Cycle time Determined by CPU hardware We will examine two MIPS implementations A simplified

More information

ECE331: Hardware Organization and Design

ECE331: 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 information

4. The Processor Computer Architecture COMP SCI 2GA3 / SFWR ENG 2GA3. Emil Sekerinski, McMaster University, Fall Term 2015/16

4. The Processor Computer Architecture COMP SCI 2GA3 / SFWR ENG 2GA3. Emil Sekerinski, McMaster University, Fall Term 2015/16 4. The Processor Computer Architecture COMP SCI 2GA3 / SFWR ENG 2GA3 Emil Sekerinski, McMaster University, Fall Term 2015/16 Instruction Execution Consider simplified MIPS: lw/sw rt, offset(rs) add/sub/and/or/slt

More information

The Processor: Improving the performance - Control Hazards

The Processor: Improving the performance - Control Hazards The Processor: Improving the performance - Control Hazards Wednesday 14 October 15 Many slides adapted from: and Design, Patterson & Hennessy 5th Edition, 2014, MK and from Prof. Mary Jane Irwin, PSU Summary

More information

Advanced Instruction-Level Parallelism

Advanced Instruction-Level Parallelism Advanced Instruction-Level Parallelism Jinkyu Jeong (jinkyu@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu EEE3050: Theory on Computer Architectures, Spring 2017, Jinkyu

More information

Computer Architecture CS372 Exam 3

Computer Architecture CS372 Exam 3 Name: Computer Architecture CS372 Exam 3 This exam has 7 pages. Please make sure you have all of them. Write your name on this page and initials on every other page now. You may only use the green card

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

Outline. A pipelined datapath Pipelined control Data hazards and forwarding Data hazards and stalls Branch (control) hazards Exception

Outline. A pipelined datapath Pipelined control Data hazards and forwarding Data hazards and stalls Branch (control) hazards Exception Outline A pipelined datapath Pipelined control Data hazards and forwarding Data hazards and stalls Branch (control) hazards Exception 1 4 Which stage is the branch decision made? Case 1: 0 M u x 1 Add

More information

Pipeline Hazards. Jin-Soo Kim Computer Systems Laboratory Sungkyunkwan University

Pipeline Hazards. Jin-Soo Kim Computer Systems Laboratory Sungkyunkwan University Pipeline Hazards Jin-Soo Kim (jinsookim@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu Hazards What are hazards? Situations that prevent starting the next instruction

More information

The Processor (3) Jinkyu Jeong Computer Systems Laboratory Sungkyunkwan University

The Processor (3) Jinkyu Jeong Computer Systems Laboratory Sungkyunkwan University The Processor (3) Jinkyu Jeong (jinkyu@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu EEE3050: Theory on Computer Architectures, Spring 2017, Jinkyu Jeong (jinkyu@skku.edu)

More information

CSSE232 Computer Architecture I. Datapath

CSSE232 Computer Architecture I. Datapath CSSE232 Computer Architecture I Datapath Class Status Reading Sec;ons 4.1-3 Project Project group milestone assigned Indicate who you want to work with Indicate who you don t want to work with Due next

More information

Computer Architecture Computer Science & Engineering. Chapter 4. The Processor BK TP.HCM

Computer Architecture Computer Science & Engineering. Chapter 4. The Processor BK TP.HCM Computer Architecture Computer Science & Engineering Chapter 4 The Processor Introduction CPU performance factors Instruction count Determined by ISA and compiler CPI and Cycle time Determined by CPU hardware

More information

Chapter 4 The Processor 1. Chapter 4A. The Processor

Chapter 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 information

Determined by ISA and compiler. We will examine two MIPS implementations. A simplified version A more realistic pipelined version

Determined by ISA and compiler. We will examine two MIPS implementations. A simplified version A more realistic pipelined version MIPS Processor Introduction CPU performance factors Instruction count Determined by ISA and compiler CPI and Cycle time Determined by CPU hardware We will examine two MIPS implementations A simplified

More information

Processor (IV) - advanced ILP. Hwansoo Han

Processor (IV) - advanced ILP. Hwansoo Han Processor (IV) - advanced ILP Hwansoo Han Instruction-Level Parallelism (ILP) Pipelining: executing multiple instructions in parallel To increase ILP Deeper pipeline Less work per stage shorter clock cycle

More information

Chapter 4. The Processor

Chapter 4. The Processor Chapter 4 The Processor Introduction CPU performance factors Instruction count Determined by ISA and compiler CPI and Cycle time Determined by CPU hardware We will examine two MIPS implementations A simplified

More information

Instruction word R0 R1 R2 R3 R4 R5 R6 R8 R12 R31

Instruction 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 information

CENG 3531 Computer Architecture Spring a. T / F A processor can have different CPIs for different programs.

CENG 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 information

Chapter 4. The Processor

Chapter 4. The Processor Chapter 4 The Processor 4.1 Introduction Introduction CPU performance factors Instruction count CPI and Cycle time Determined by CPU hardware We will examine two MIPS implementations Determined by ISA

More information

COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. 5 th. Edition. Chapter 4. The Processor

COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. 5 th. Edition. 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 information

Thomas Polzer Institut für Technische Informatik

Thomas Polzer Institut für Technische Informatik Thomas Polzer tpolzer@ecs.tuwien.ac.at Institut für Technische Informatik Pipelined laundry: overlapping execution Parallelism improves performance Four loads: Speedup = 8/3.5 = 2.3 Non-stop: Speedup =

More information

SI232 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. 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 information

CS 61C: Great Ideas in Computer Architecture (Machine Structures) Lecture 32: Pipeline Parallelism 3

CS 61C: Great Ideas in Computer Architecture (Machine Structures) Lecture 32: Pipeline Parallelism 3 CS 61C: Great Ideas in Computer Architecture (Machine Structures) Lecture 32: Pipeline Parallelism 3 Instructor: Dan Garcia inst.eecs.berkeley.edu/~cs61c! Compu@ng in the News At a laboratory in São Paulo,

More information

EIE/ENE 334 Microprocessors

EIE/ENE 334 Microprocessors EIE/ENE 334 Microprocessors Lecture 6: The Processor Week #06/07 : Dejwoot KHAWPARISUTH Adapted from Computer Organization and Design, 4 th Edition, Patterson & Hennessy, 2009, Elsevier (MK) http://webstaff.kmutt.ac.th/~dejwoot.kha/

More information

ECE 331 Hardware Organization and Design. UMass ECE Discussion 10 4/5/2018

ECE 331 Hardware Organization and Design. UMass ECE Discussion 10 4/5/2018 ECE 331 Hardware Organization and Design UMass ECE Discussion 10 4/5/2018 Today s Discussion Topics Direct and Set Associative Cache Midterm Review Hazards Code reordering and forwarding Direct Mapped

More information

ECE331: Hardware Organization and Design

ECE331: 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 information

Advanced d Instruction Level Parallelism. Computer Systems Laboratory Sungkyunkwan University

Advanced d Instruction Level Parallelism. Computer Systems Laboratory Sungkyunkwan University Advanced d Instruction ti Level Parallelism Jin-Soo Kim (jinsookim@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu ILP Instruction-Level Parallelism (ILP) Pipelining:

More information

COMPUTER ORGANIZATION AND DESIGN

COMPUTER ORGANIZATION AND DESIGN COMPUTER ORGANIZATION AND DESIGN 5 Edition th The Hardware/Software Interface Chapter 4 The Processor 4.1 Introduction Introduction CPU performance factors Instruction count CPI and Cycle time Determined

More information

CISC 662 Graduate Computer Architecture Lecture 6 - Hazards

CISC 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 information

CIS 662: Midterm. 16 cycles, 6 stalls

CIS 662: Midterm. 16 cycles, 6 stalls CIS 662: Midterm Name: Points: /100 First read all the questions carefully and note how many points each question carries and how difficult it is. You have 1 hour 15 minutes. Plan your time accordingly.

More information

CSEE 3827: Fundamentals of Computer Systems

CSEE 3827: Fundamentals of Computer Systems CSEE 3827: Fundamentals of Computer Systems Lecture 21 and 22 April 22 and 27, 2009 martha@cs.columbia.edu Amdahl s Law Be aware when optimizing... T = improved Taffected improvement factor + T unaffected

More information

CS311 Lecture: Pipelining and Superscalar Architectures

CS311 Lecture: Pipelining and Superscalar Architectures Objectives: CS311 Lecture: Pipelining and Superscalar Architectures Last revised July 10, 2013 1. To introduce the basic concept of CPU speedup 2. To explain how data and branch hazards arise as a result

More information

COMPUTER ORGANIZATION AND DESIGN

COMPUTER ORGANIZATION AND DESIGN 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 information

Hakim Weatherspoon CS 3410 Computer Science Cornell University

Hakim Weatherspoon CS 3410 Computer Science Cornell University Hakim Weatherspoon CS 3410 Computer Science Cornell University The slides are the product of many rounds of teaching CS 3410 by Professors Weatherspoon, Bala, Bracy, McKee, and Sirer. memory inst register

More information

Processor Design Pipelined Processor. Hung-Wei Tseng

Processor Design Pipelined Processor. Hung-Wei Tseng Processor Design Pipelined Processor Hung-Wei Tseng Pipelining 7 Pipelining Break up the logic with isters into pipeline stages Each stage can act on different instruction/data States/Control signals of

More information

Pipeline Control Hazards and Instruction Variations

Pipeline Control Hazards and Instruction Variations Pipeline Control Hazards and Instruction Variations Hakim Weatherspoon CS 3410, Spring 2012 Computer Science Cornell University See P&H Appendix 4.8 Goals for Today Recap: Data Hazards Control Hazards

More information

The Processor: Instruction-Level Parallelism

The Processor: Instruction-Level Parallelism The Processor: Instruction-Level Parallelism Computer Organization Architectures for Embedded Computing Tuesday 21 October 14 Many slides adapted from: Computer Organization and Design, Patterson & Hennessy

More information

Computer Architecture Spring 2016

Computer Architecture Spring 2016 Computer Architecture Spring 2016 Lecture 02: Introduction II Shuai Wang Department of Computer Science and Technology Nanjing University Pipeline Hazards Major hurdle to pipelining: hazards prevent the

More information

Chapter Six. Dataı access. Reg. Instructionı. fetch. Dataı. Reg. access. Dataı. Reg. access. Dataı. Instructionı fetch. 2 ns 2 ns 2 ns 2 ns 2 ns

Chapter Six. Dataı access. Reg. Instructionı. fetch. Dataı. Reg. access. Dataı. Reg. access. Dataı. Instructionı fetch. 2 ns 2 ns 2 ns 2 ns 2 ns Chapter Si Pipelining Improve perfomance by increasing instruction throughput eecutionı Time lw $, ($) 2 6 8 2 6 8 access lw $2, 2($) 8 ns access lw $3, 3($) eecutionı Time lw $, ($) lw $2, 2($) 2 ns 8

More information

COMPUTER ORGANIZATION AND DESIGN. 5 th Edition. The Hardware/Software Interface. Chapter 4. The Processor

COMPUTER 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 information

Computer Architecture Computer Science & Engineering. Chapter 4. The Processor BK TP.HCM

Computer Architecture Computer Science & Engineering. Chapter 4. The Processor BK TP.HCM Computer Architecture Computer Science & Engineering Chapter 4 The Processor Introduction CPU performance factors Instruction count Determined by ISA and compiler CPI and Cycle time Determined by CPU hardware

More information

Chapter 4. Instruction Execution. Introduction. CPU Overview. Multiplexers. Chapter 4 The Processor 1. The Processor.

Chapter 4. Instruction Execution. Introduction. CPU Overview. Multiplexers. Chapter 4 The Processor 1. The Processor. COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface 5 th Edition COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface 5 th Edition Chapter 4 The Processor The Processor - Introduction

More information

COMPUTER ORGANIZATION AND DESIGN. 5 th Edition. The Hardware/Software Interface. Chapter 4. The Processor

COMPUTER 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 COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface 5 th Edition The Processor - Introduction

More information

Processor Design Pipelined Processor (II) Hung-Wei Tseng

Processor Design Pipelined Processor (II) Hung-Wei Tseng Processor Design Pipelined Processor (II) Hung-Wei Tseng Recap: Pipelining Break up the logic with pipeline registers into pipeline stages Each pipeline registers is clocked Each pipeline stage takes one

More information

Pipelined Processor Design

Pipelined Processor Design Pipelined Processor Design Pipelined Implementation: MIPS Virendra Singh Indian Institute of Science Bangalore virendra@computer.org Lecture 20 SE-273: Processor Design Courtesy: Prof. Vishwani Agrawal

More information

EITF20: Computer Architecture Part2.2.1: Pipeline-1

EITF20: 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 information

Branch Prediction & Speculative Execution. Branch Penalties in Modern Pipelines

Branch Prediction & Speculative Execution. Branch Penalties in Modern Pipelines 6.823, L15--1 Branch Prediction & Speculative Execution Asanovic Laboratory for Computer Science M.I.T. http://www.csg.lcs.mit.edu/6.823 6.823, L15--2 Branch Penalties in Modern Pipelines UltraSPARC-III

More information

Chapter 4. The Processor

Chapter 4. The Processor Chapter 4 The Processor 1 Introduction CPU performance factors Instruction count Determined by ISA and compiler CPI and Cycle time Determined by CPU hardware We will examine two MIPS implementations A

More information

Lecture 9. Pipeline Hazards. Christos Kozyrakis Stanford University

Lecture 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 information

Lecture 9 Pipeline and Cache

Lecture 9 Pipeline and Cache Lecture 9 Pipeline and Cache Peng Liu liupeng@zju.edu.cn 1 What makes it easy Pipelining Review all instructions are the same length just a few instruction formats memory operands appear only in loads

More information

Pipelining: Overview. CPSC 252 Computer Organization Ellen Walker, Hiram College

Pipelining: 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 information

Lecture 3: The Processor (Chapter 4 of textbook) Chapter 4.1

Lecture 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 information