ECE473 Computer Architecture and Organization. Pipeline: Control Hazard
|
|
- Archibald Foster
- 5 years ago
- Views:
Transcription
1 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
2 Pipelining Outline Introduction Defining Pipelining Pipelining Instructions Hazards Structural hazards Data Hazards Control Hazards \ Performance Controller implementation Lec 15.2
3 Pipeline Hazards Where one instruction cannot immediately follow another Types of hazards Structural hazards - attempt to use same resource twice Control hazards - attempt to make decision before condition is evaluated Data hazards - attempt to use data before it is ready Can always resolve hazards by waiting Lec 15.3
4 Control Hazards A control hazard is when we need to find the destination of a branch, and can t fetch any new instructions until we know that destination. A branch is either Taken: PC <= PC Imm Not Taken: PC <= PC + 4 Lec 15.4
5 ALU ALU ALU ALU ALU Control Hazards Control Hazard on Branches Three Stage Stall 10: beq r1,r3,36 Ifetch DMem 14: and r2,r3,r5 Ifetch DMem 18: or r6,r1,r7 Ifetch DMem 22: add r8,r1,r9 Ifetch DMem 36: xor r10,r1,r11 Ifetch DMem The penalty when branch take is 3 cycles! Lec 15.5
6 Basic Pipelined Processor In our original Design, branches have a penalty of 3 cycles Lec 15.6
7 Reducing Branch Delay Move following to ID stage a) Branch-target address calculation b) Branch condition decision Reduced penalty (1 cycle) when branch take! Lec 15.7
8 Reducing Branch Delay: move branch logic to ID stage -> add $r4,$r5,$r6 IF ID EX MEM WB beq $r0,$r1,tgt IF ID EX MEM WB STALL BUBBLE BUBBLE BUBBLE BUBBLE BUBBLE sw $s4,200($t5) IF ID EX MEM WB beq writes PC here new PC used here Lec 15.8
9 Stall Control Hazard Solution #1 stop loading instructions until result is available Lec 15.9
10 Control Hazard Solution #2 Branch Prediction Just stalling for each branch is not practical Common assumption: branch not taken When assumption fails: flush three instructions Program execution order (in instructions) Time (in clock cycles) CC 1 CC 2 CC 3 CC 4 CC 5 CC 6 CC 7 CC 8 CC 9 40 beq $1, $3, 7 IM DM 44 and $12, $2, $5 IM DM 48 or $13, $6, $2 IM DM 52 add $14, $2, $2 IM DM 72 lw $4, 50($7) IM DM (Fig. 6.37) Lec 15.10
11 Static Branch Prediction For every branch, predict whether the branch will be taken or not taken. Predicting branch not taken: 1. Speculatively fetch and execute in-line instructions following the branch 2. If prediction incorrect flush pipeline of speculated instructions Convert these instructions to NOPs by clearing pipeline registers These have not updated memory or registers at time of flush Predicting branch taken: 1. Speculatively fetch and execute instructions at the branch target address 2. Useful only if target address known earlier than branch outcome May require stall cycles till target address known Flush pipeline if prediction is incorrect Must ensure that flushed instructions do not update memory/registers Lec 15.11
12 Flush instructions in Branch Hazard 36 sub $10, $4, $8 40 beq $1, $3, 7 # taget = *4 = and $12, $2, $5 48 or $13, $2, $ lw $4, 50($7) Lec 15.12
13 Control Hazard - Stall add $r4,$r5,$r6 IF ID EX MEM WB beq $r0,$r1,tgt IF ID EX MEM WB STALL BUBBLE BUBBLE BUBBLE BUBBLE BUBBLE sw $s4,200($t5) IF ID EX MEM WB beq writes PC here new PC used here Lec 15.13
14 Control Hazard - Correct Prediction add $r4,$r5,$r6 IF ID EX MEM WB beq $r0,$r1,tgt IF ID EX MEM WB tgt: sw $s4,200($t5) IF ID EX MEM WB Fetch assuming branch taken Lec 15.14
15 Control Hazard - Incorrect Prediction add $r4,$r5,$r6 IF ID EX MEM WB beq $r0,$r1,tgt IF ID EX MEM WB tgt: sw $s4,200($t5) (inco rrect - STALL) IF BUBBLE BUBBLE BUBBLE BUBBLE or $r8,$r8,$r9 IF ID EX MEM WB Squashed instruction Lec 15.15
16 Lec 15.16
17 Flush instructions at IF stage in Branch Hazard Turn the instructions at IF stage into nop. Lec 15.17
18 Flush instructions at IF stage in Branch Hazard zero control signals 2 Turn the instructions at IF stage into nop. Lec 15.18
19 Branch Behavior in Programs Based on SPEC benchmarks on DLX Branches occur with a frequency of 14% to 16% in integer programs and 3% to 12% in floating point programs. About 75% of the branches are forward branches 60% of forward branches are taken 80% of backward branches are taken 67% of all branches are taken Why are branches (especially backward branches) more likely to be taken than not taken? Lec 15.19
20 1-Bit Branch Prediction Branch History Table (BHT): Lower bits of PC address index table of 1-bit values Says whether or not branch taken last time No address check (saves HW, but may not be right branch) If prediction is wrong, invert prediction bit 1 = branch was last taken 0 = branch was last not taken 1 prediction bit 0 a 31 a 30 a 11 a 2 a 1 a 0 branch instruction 1K-entry BHT 10-bit index 1 Instruction memory Hypothesis: branch will do the same again. Lec 15.20
21 1-Bit Branch Prediction Example: Consider a loop branch that is taken 9 times in a row and then not taken once. What is the prediction accuracy of 1-bit predictor for this branch assuming only this branch ever changes its corresponding prediction bit? Answer: 80%. Because there are two mispredictions one on the first iteration and one on the last iteration. Why? Lec 15.21
22 Solution: 2-bit scheme where change prediction only if get misprediction twice Red: stop, not taken Green: go, taken Predict Taken 2-Bit Branch Prediction (Jim Smith, 1981) Predict Not Taken T T NT T NT T NT NT Predict Taken Predict Not Taken Lec 15.22
23 2-bit Predictor Statistics Prediction accuracy of 4K-entry 2-bit prediction buffer on SPEC89 benchmarks: accuracy is lower for integer programs (gcc, espresso, eqntott, li) than for FP Lec 15.23
24 2-bit Predictor Statistics Prediction accuracy of 4K-entry 2-bit prediction buffer vs. infinite 2-bit buffer: increasing buffer size from 4K does not significantly improve performance Lec 15.24
25 Control Hazard Solution #3 Delay Branches Delayed branches code rearranged by compiler to place independent instruction after every branch (in delay slot). add $R4,$R5,$R6 beq $R1,$R2,20 lw $R3,400($R0) beq $R1,$R2,20 add $R4,$R5,$R6 lw $R3,400($R0) Lec 15.25
26 Scheduling the Delay Slot Lec 15.26
27 Delayed Branch Instruction in branch delay slot is always executed Compiler (tries to) move a useful instruction into delay slot. (a) From before the Branch: Always helpful when possible ADD R1, R2, R3 BEQZ R2, L1 BEQZ R2, L1 DELAY SLOT ADD R1, R2, R3 - - L1: L1: If the ADD instruction were: ADD R2, R1, R3 the move would not be possible Lec 15.27
28 Delayed Branch (b) From the Target: Helps when branch is taken. May duplicate instructions ADD R2, R1, R3 ADD R2, R1, R3 BEQZ R2, L1 BEQZ R2, L2 DELAY SLOT SUB R4, R5, R6 - - L1: SUB R4, R5, R6 L1: SUB R4, R5, R6 L2: L2: Instructions between BEQ and SUB (in fall through) must not use R4. Why is instruction at L1 duplicated? What if R5 or R6 changed? Lec 15.28
29 Delayed Branch ( c ) From Fall Through: Helps when branch is not taken. ADD R2, R1, R3 ADD R2, R1, R3 BEQZ R2, L1 BEQZ R2, L1 DELAY SLOT SUB R4, R5, R6 SUB R4, R5, R6 - - L1: L1: Instructions at target (L1 and after) must not use R4 till set again. Cancelling (Nullifying) Branch: Branch instruction indicates direction of prediction. If mispredicted the instruction in the delay slot is cancelled. Greater flexibility for compiler to schedule instructions. Lec 15.29
30 Delayed Branch Limitations of delayed branch Compiler may not find appropriate instructions to fill delay slots. Then it fills delay slots with noops. Visible architectural feature likely to change with new implementations»pipeline structure is exposed to compiler. Need to know how many delay slots. Lec 15.30
31 Summary - Control Hazard Solutions Stall - stop fetching instr. until result is available Significant performance penalty Hardware required to stall Predict - assume an outcome and continue fetching (undo if prediction is wrong) Performance penalty only when guess wrong Hardware required to "squash" instructions Delayed branch - specify in architecture that following instruction is always executed Compiler re-orders instructions into delay slot Insert "NOP" (no-op) operations when can't use (~50%) This is how original MIPS worked Lec 15.31
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 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 informationHY425 Lecture 05: Branch Prediction
HY425 Lecture 05: Branch Prediction Dimitrios S. Nikolopoulos University of Crete and FORTH-ICS October 19, 2011 Dimitrios S. Nikolopoulos HY425 Lecture 05: Branch Prediction 1 / 45 Exploiting ILP in hardware
More informationCS422 Computer Architecture
CS422 Computer Architecture Spring 2004 Lecture 07, 08 Jan 2004 Bhaskaran Raman Department of CSE IIT Kanpur http://web.cse.iitk.ac.in/~cs422/index.html Recall: Data Hazards Have to be detected dynamically,
More informationLecture 8 Dynamic Branch Prediction, Superscalar and VLIW. Computer Architectures S
Lecture 8 Dynamic Branch Prediction, Superscalar and VLIW Computer Architectures 521480S Dynamic Branch Prediction Performance = ƒ(accuracy, cost of misprediction) Branch History Table (BHT) is simplest
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 informationOutline. 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 informationPipelining. 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 informationDepartment 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 informationPipeline Review. Review
Pipeline Review Review Covered in EECS2021 (was CSE2021) Just a reminder of pipeline and hazards If you need more details, review 2021 materials 1 The basic MIPS Processor Pipeline 2 Performance of pipelining
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 informationELE 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 informationThe 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 informationSome material adapted from Mohamed Younis, UMBC CMSC 611 Spr 2003 course slides Some material adapted from Hennessy & Patterson / 2003 Elsevier
Some material adapted from Mohamed Younis, UMBC CMSC 611 Spr 2003 course slides Some material adapted from Hennessy & Patterson / 2003 Elsevier Science Cases that affect instruction execution semantics
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 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 informationReduction of Control Hazards (Branch) Stalls with Dynamic Branch Prediction
ISA Support Needed By CPU Reduction of Control Hazards (Branch) Stalls with Dynamic Branch Prediction So far we have dealt with control hazards in instruction pipelines by: 1 2 3 4 Assuming that the branch
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 informationOutline. Pipelining basics The Basic Pipeline for DLX & MIPS Pipeline hazards. Handling exceptions Multi-cycle operations
Pipelining 1 Outline Pipelining basics The Basic Pipeline for DLX & MIPS Pipeline hazards Structural Hazards Data Hazards Control Hazards Handling exceptions Multi-cycle operations 2 Pipelining basics
More informationECE473 Computer Architecture and Organization. Pipeline: Data Hazards
Computer Architecture and Organization Pipeline: Data Hazards Lecturer: Prof. Yifeng Zhu Fall, 2015 Portions of these slides are derived from: Dave Patterson UCB Lec 14.1 Pipelining Outline Introduction
More informationCOSC4201 Pipelining. Prof. Mokhtar Aboelaze York University
COSC4201 Pipelining Prof. Mokhtar Aboelaze York University 1 Instructions: Fetch Every instruction could be executed in 5 cycles, these 5 cycles are (MIPS like machine). Instruction fetch IR Mem[PC] NPC
More informationPage 1. CISC 662 Graduate Computer Architecture. Lecture 8 - ILP 1. Pipeline CPI. Pipeline CPI (I) Pipeline CPI (II) Michela Taufer
CISC 662 Graduate Computer Architecture Lecture 8 - ILP 1 Michela Taufer Pipeline CPI http://www.cis.udel.edu/~taufer/teaching/cis662f07 Powerpoint Lecture Notes from John Hennessy and David Patterson
More informationMultiple Instruction Issue and Hardware Based Speculation
Multiple Instruction Issue and Hardware Based Speculation Soner Önder Michigan Technological University, Houghton MI www.cs.mtu.edu/~soner Hardware Based Speculation Exploiting more ILP requires that we
More informationControl 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 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 informationCMCS Mohamed Younis CMCS 611, Advanced Computer Architecture 1
CMCS 611-101 Advanced Computer Architecture Lecture 8 Control Hazards and Exception Handling September 30, 2009 www.csee.umbc.edu/~younis/cmsc611/cmsc611.htm Mohamed Younis CMCS 611, Advanced Computer
More informationInstruction Pipelining Review
Instruction Pipelining Review Instruction pipelining is CPU implementation technique where multiple operations on a number of instructions are overlapped. An instruction execution pipeline involves a number
More informationControl Dependence, Branch Prediction
Control Dependence, Branch Prediction Outline Control dependences Branch evaluation delay Branch delay slot Branch prediction Static Dynamic correlating, local, global. Control Dependences Program correctness
More informationPredict Not Taken. Revisiting Branch Hazard Solutions. Filling the delay slot (e.g., in the compiler) Delayed Branch
branch taken Revisiting Branch Hazard Solutions Stall Predict Not Taken Predict Taken Branch Delay Slot Branch I+1 I+2 I+3 Predict Not Taken branch not taken Branch I+1 IF (bubble) (bubble) (bubble) (bubble)
More informationPipeline 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 informationPage # CISC 662 Graduate Computer Architecture. Lecture 8 - ILP 1. Pipeline CPI. Pipeline CPI (I) Michela Taufer
CISC 662 Graduate Computer Architecture Lecture 8 - ILP 1 Michela Taufer http://www.cis.udel.edu/~taufer/teaching/cis662f07 Powerpoint Lecture Notes from John Hennessy and David Patterson s: Computer Architecture,
More informationInstruction Frequency CPI. Load-store 55% 5. Arithmetic 30% 4. Branch 15% 4
PROBLEM 1: An application running on a 1GHz pipelined processor has the following instruction mix: Instruction Frequency CPI Load-store 55% 5 Arithmetic 30% 4 Branch 15% 4 a) Determine the overall CPI
More informationMinimizing Data hazard Stalls by Forwarding Data Hazard Classification Data Hazards Present in Current MIPS Pipeline
Instruction Pipelining Review: MIPS In-Order Single-Issue Integer Pipeline Performance of Pipelines with Stalls Pipeline Hazards Structural hazards Data hazards Minimizing Data hazard Stalls by Forwarding
More informationThe 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 informationLECTURE 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 informationInstruction Level Parallelism. ILP, Loop level Parallelism Dependences, Hazards Speculation, Branch prediction
Instruction Level Parallelism ILP, Loop level Parallelism Dependences, Hazards Speculation, Branch prediction Basic Block A straight line code sequence with no branches in except to the entry and no branches
More informationAppendix C. Authors: John Hennessy & David Patterson. Copyright 2011, Elsevier Inc. All rights Reserved. 1
Appendix C Authors: John Hennessy & David Patterson Copyright 2011, Elsevier Inc. All rights Reserved. 1 Figure C.2 The pipeline can be thought of as a series of data paths shifted in time. This shows
More informationAs the amount of ILP to exploit grows, control dependences rapidly become the limiting factor.
Hiroaki Kobayashi // As the amount of ILP to exploit grows, control dependences rapidly become the limiting factor. Branches will arrive up to n times faster in an n-issue processor, and providing an instruction
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 informationCS433 Midterm. Prof Josep Torrellas. October 19, Time: 1 hour + 15 minutes
CS433 Midterm Prof Josep Torrellas October 19, 2017 Time: 1 hour + 15 minutes Name: Instructions: 1. This is a closed-book, closed-notes examination. 2. The Exam has 4 Questions. Please budget your time.
More informationInstr. 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 informationPerformance of tournament predictors In the last lecture, we saw the design of the tournament predictor used by the Alpha
Performance of tournament predictors In the last lecture, we saw the design of the tournament predictor used by the Alpha 21264. The Alpha s predictor is very successful. On the SPECfp 95 benchmarks, there
More informationCSE 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 informationPage 1. Recall from Pipelining Review. Lecture 15: Instruction Level Parallelism and Dynamic Execution
CS252 Graduate Computer Architecture Recall from Pipelining Review Lecture 15: Instruction Level Parallelism and Dynamic Execution March 11, 2002 Prof. David E. Culler Computer Science 252 Spring 2002
More informationCopyright 2012, Elsevier Inc. All rights reserved.
Computer Architecture A Quantitative Approach, Fifth Edition Chapter 3 Instruction-Level Parallelism and Its Exploitation 1 Branch Prediction Basic 2-bit predictor: For each branch: Predict taken or not
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 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 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 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 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 informationCOMPUTER 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 informationOrange 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 informationAdvanced Computer Architecture Pipelining
Advanced Computer Architecture Pipelining Dr. Shadrokh Samavi Some slides are from the instructors resources which accompany the 6 th and previous editions of the textbook. Some slides are from David Patterson,
More informationFull 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 informationLecture 9: Case Study MIPS R4000 and Introduction to Advanced Pipelining Professor Randy H. Katz Computer Science 252 Spring 1996
Lecture 9: Case Study MIPS R4000 and Introduction to Advanced Pipelining Professor Randy H. Katz Computer Science 252 Spring 1996 RHK.SP96 1 Review: Evaluating Branch Alternatives Two part solution: Determine
More informationWhat 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 informationInstruction Level Parallelism
Instruction Level Parallelism The potential overlap among instruction execution is called Instruction Level Parallelism (ILP) since instructions can be executed in parallel. There are mainly two approaches
More informationFour Steps of Speculative Tomasulo cycle 0
HW support for More ILP Hardware Speculative Execution Speculation: allow an instruction to issue that is dependent on branch, without any consequences (including exceptions) if branch is predicted incorrectly
More informationChapter 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 informationDynamic Control Hazard Avoidance
Dynamic Control Hazard Avoidance Consider Effects of Increasing the ILP Control dependencies rapidly become the limiting factor they tend to not get optimized by the compiler more instructions/sec ==>
More informationInstruction 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 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 informationAdministrivia. CMSC 411 Computer Systems Architecture Lecture 14 Instruction Level Parallelism (cont.) Control Dependencies
Administrivia CMSC 411 Computer Systems Architecture Lecture 14 Instruction Level Parallelism (cont.) HW #3, on memory hierarchy, due Tuesday Continue reading Chapter 3 of H&P Alan Sussman als@cs.umd.edu
More information6.004 Tutorial Problems L22 Branch Prediction
6.004 Tutorial Problems L22 Branch Prediction Branch target buffer (BTB): Direct-mapped cache (can also be set-associative) that stores the target address of jumps and taken branches. The BTB is searched
More informationLimiting The Data Hazards by Combining The Forwarding with Delay Slots Operations to Improve Dynamic Branch Prediction in Superscalar Processor
Limiting The Data Hazards by Combining The Forwarding with Delay Slots Operations to Improve Dynamic Branch Prediction in Superscalar Processor S.A.Hadoud and A.M.Mosbah Azzaituna University, Tarhuna Libya
More informationPipeline Architecture RISC
Pipeline Architecture RISC Independent tasks with independent hardware serial No repetitions during the process pipelined Pipelined vs Serial Processing Instruction Machine Cycle Every instruction must
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 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 informationCS152 Computer Architecture and Engineering March 13, 2008 Out of Order Execution and Branch Prediction Assigned March 13 Problem Set #4 Due March 25
CS152 Computer Architecture and Engineering March 13, 2008 Out of Order Execution and Branch Prediction Assigned March 13 Problem Set #4 Due March 25 http://inst.eecs.berkeley.edu/~cs152/sp08 The problem
More informationReview: Evaluating Branch Alternatives. Lecture 3: Introduction to Advanced Pipelining. Review: Evaluating Branch Prediction
Review: Evaluating Branch Alternatives Lecture 3: Introduction to Advanced Pipelining Two part solution: Determine branch taken or not sooner, AND Compute taken branch address earlier Pipeline speedup
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 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 informationWhat 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 informationCISC 662 Graduate Computer Architecture Lecture 11 - Hardware Speculation Branch Predictions
CISC 662 Graduate Computer Architecture Lecture 11 - Hardware Speculation Branch Predictions Michela Taufer http://www.cis.udel.edu/~taufer/teaching/cis6627 Powerpoint Lecture Notes from John Hennessy
More informationSuggested 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 informationPipelined 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 informationPage 1. Recall from Pipelining Review. Lecture 16: Instruction Level Parallelism and Dynamic Execution #1: Ideas to Reduce Stalls
CS252 Graduate Computer Architecture Recall from Pipelining Review Lecture 16: Instruction Level Parallelism and Dynamic Execution #1: March 16, 2001 Prof. David A. Patterson Computer Science 252 Spring
More informationCOSC 6385 Computer Architecture. Instruction Level Parallelism
COSC 6385 Computer Architecture Instruction Level Parallelism Spring 2013 Instruction Level Parallelism Pipelining allows for overlapping the execution of instructions Limitations on the (pipelined) execution
More informationChapter 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 informationStatic, 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 informationInstruction-Level Parallelism and Its Exploitation (Part III) ECE 154B Dmitri Strukov
Instruction-Level Parallelism and Its Exploitation (Part III) ECE 154B Dmitri Strukov Dealing With Control Hazards Simplest solution to stall pipeline until branch is resolved and target address is calculated
More informationReview Tomasulo. Lecture 17: ILP and Dynamic Execution #2: Branch Prediction, Multiple Issue. Tomasulo Algorithm and Branch Prediction
CS252 Graduate Computer Architecture Lecture 17: ILP and Dynamic Execution #2: Branch Prediction, Multiple Issue March 23, 01 Prof. David A. Patterson Computer Science 252 Spring 01 Review Tomasulo Reservations
More informationLecture 6 MIPS R4000 and Instruction Level Parallelism. Computer Architectures S
Lecture 6 MIPS R4000 and Instruction Level Parallelism Computer Architectures 521480S Case Study: MIPS R4000 (200 MHz, 64-bit instructions, MIPS-3 instruction set) 8 Stage Pipeline: first half of fetching
More informationECE 505 Computer Architecture
ECE 505 Computer Architecture Pipelining 2 Berk Sunar and Thomas Eisenbarth Review 5 stages of RISC IF ID EX MEM WB Ideal speedup of pipelining = Pipeline depth (N) Practically Implementation problems
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 information5008: 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 informationCOSC 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 informationLecture 8: Compiling for ILP and Branch Prediction. Advanced pipelining and instruction level parallelism
Lecture 8: Compiling for ILP and Branch Prediction Kunle Olukotun Gates 302 kunle@ogun.stanford.edu http://www-leland.stanford.edu/class/ee282h/ 1 Advanced pipelining and instruction level parallelism
More informationSuper Scalar. Kalyan Basu March 21,
Super Scalar Kalyan Basu basu@cse.uta.edu March 21, 2007 1 Super scalar Pipelines A pipeline that can complete more than 1 instruction per cycle is called a super scalar pipeline. We know how to build
More informationPipelining and Exploiting Instruction-Level Parallelism (ILP)
Pipelining and Exploiting Instruction-Level Parallelism (ILP) Pipelining and Instruction-Level Parallelism (ILP). Definition of basic instruction block Increasing Instruction-Level Parallelism (ILP) &
More informationThomas 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 informationCS2100 Computer Organisation Tutorial #10: Pipelining Answers to Selected Questions
CS2100 Computer Organisation Tutorial #10: Pipelining Answers to Selected Questions Tutorial Questions 2. [AY2014/5 Semester 2 Exam] Refer to the following MIPS program: # register $s0 contains a 32-bit
More informationWebsite for Students VTU NOTES QUESTION PAPERS NEWS RESULTS
Advanced Computer Architecture- 06CS81 Hardware Based Speculation Tomasulu algorithm and Reorder Buffer Tomasulu idea: 1. Have reservation stations where register renaming is possible 2. Results are directly
More informationLecture 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 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 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 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 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 informationBasic Pipelining Concepts
Basic ipelining oncepts Appendix A (recommended reading, not everything will be covered today) Basic pipelining ipeline hazards Data hazards ontrol hazards Structural hazards Multicycle operations Execution
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 information