Branch Prediction & Speculative Execution. Branch Penalties in Modern Pipelines
|
|
- Aubrey Cook
- 5 years ago
- Views:
Transcription
1 6.823, L15--1 Branch Prediction & Speculative Execution Asanovic Laboratory for Computer Science M.I.T , L15--2 Branch Penalties in Modern Pipelines UltraSPARC-III instruction fetch pipeline stages (in-order issue, 4-way superscalar, 1 GHz, 2000) A PC Generation/Mux P Instruction Fetch Stage 1 F Instruction Fetch Stage 2 B I J R E Branch Address Calc/Begin Decode Complete Decode Steer Instructions to Functional units Register File Read Integer Execute Remainder of execute pipeline (+another 6 stages) Branch penalty: Cycles? Instructions? Page 1
2 Branch Prediction 6.823, L15--3 Motivation: branch penalties limit performance of deeply pipelined processors Modern branch predictors have high accuracy (>95%) and can reduce branch penalties significantly Required hardware support: Prediction structures: branch history tables, branch target buffers etc. Mispredict recovery mechanisms: In-order machines: instructions following branch in pipeline Out-of-order machines: shadow registers and memory buffers for each speculated branch DLX Branches and Jumps 6.823, L15--4 Instruction Taken known? Target known? BEQZ/BNEZ After Reg. Fetch After Inst. Fetch J Always Taken After Inst. Fetch JR Always Taken After Reg. Fetch Must know (or guess) both target address and whether taken to execute branch/jump. Page 2
3 Static Branch Prediction (Encode prediction as part of branch instruction) 6.823, L15--5 Probability a branch is taken (~67% overall): backward 90% JZ forward 50% JZ Can predict all taken, or backwards taken/forward not-taken ISA can attach additional semantics to branches about preferred direction, e.g., Motorola MC88110 bne0 (preferred taken) beq0 (not taken) ISA can allow arbitrary choice of statically predicted direction (HP PA-RISC, Intel Itanium) Dynamic Branch Prediction learning based on past behavior 6.823, L15--6 Temporal correlation The way a branch resolves may be a good predictor of the way it will resolve at the next execution Spatial correlation Several branches may resolve in a highly correlated manner (a preferred path of execution) Page 3
4 Branch Prediction Bits 6.823, L15--7 Assume 2 BP bits per instruction Change the prediction after two consecutive mistakes! take wrong taken taken taken take right taken taken taken take wrong take right taken taken BP state: (predict take/ take) x (last prediction right/wrong) Branch History Table 6.823, L15--8 Fetch PC I-Cache Instruction Opcode offset 00 k BHT Index 2 k -entry BHT, 2 bits/entry Branch? + Target PC Taken/ Taken? 4K-entry BHT, 2 bits/entry, ~80-90% correct predictions Page 4
5 Exploiting Spatial Correlation Yeh and Patt, , L15--9 if (x[i]< 7) then y += 1; if (x[i]< 5) then c -= 4; If first condition false, second condition also false History bit: H records the direction of the last branch executed by the processor Two sets of BP bits (BP0 & BP1) per branch instruction H = 0 (taken) consult BP0 H = 1 (not taken) consult BP1 Two-Level Branch Predictor Pentium Pro uses the result from the last two branches to select one of the four sets of BP bits (~95% correct) 6.823, L Fetch PC 00 k Global branch history shift register Shift in Taken/ Taken results of each branch Taken/ Taken? Page 5
6 Limitations of BHTs 6.823, L Cannot redirect fetch stream until after branch instruction is fetched and decoded, and target address determined A PC Generation/Mux P Instruction Fetch Stage 1 F Instruction Fetch Stage 2 B I J R E Branch Address Calc/Begin Decode Complete Decode Steer Instructions to Functional units Register File Read Integer Execute Correctly predicted taken branch penalty: Cycles? Instructions? (UltraSPARC-III fetch pipeline) What about JR instructions? I-Cache Branch Target Buffer Branch Target Buffer (2 k entries) Entry PC Valid predicted target PC 6.823, L PC k = match valid target Keep both the branch PC and target PC in the BTB PC+4 is fetched if match fails Only taken branches and jumps held in BTB Next PC determined before branch fetched and decoded Page 6
7 Combining BTB and BHT 6.823, L (scheme used in PowerPC620) BTB entries are considerably more expensive than BHT, but can redirect fetches at earlier stage in pipeline and can accelerate indirect branches (JR) BHT can hold many more entries and is more accurate BHT in later pipeline stage corrects when BTB misses a predicted taken branch BTB BHT A PC Generation/Mux P Instruction Fetch Stage 1 F Instruction Fetch Stage 2 B I J R E Branch Address Calc/Begin Decode Complete Decode Steer Instructions to Functional units Register File Read Integer Execute BTB/BHT only updated after branch resolves in E stage Subroutine Return Stack Main uses of register indirect jumps (JR) : Switch statements (jump to address of matching case) Dynamic function call (jump to run-time function address) Subroutine returns (jump to return address) 6.823, L Push call address when function call executed Pop return address when subroutine return decoded k entries (typically k=8-16) Subroutine call/return address stack predicts return addresses more accurately than BTB, Why? Page 7
8 Speculating Both Directions An alternative to branch prediction is to execute both directions of a branch speculatively 6.823, L resource requirement is proportional to the number of concurrent speculative executions only half the resources engage in useful work when both directions of a branch are executed speculatively branch prediction takes less resources than speculative execution of both paths With accurate branch prediction, it is more cost effective to dedicate all resources to the predicted direction Mispredict Recovery 6.823, L In-order execution machines: Assume no instruction issued after branch can write-back before branch resolves Kill all instructions in pipeline behind mispredicted branch Out-of-order execution? Multiple instructions following branch in program order can complete before branch resolves Page 8
9 In-Order Commit 6.823, L Instructions fetched, decoded, and placed into reorder buffer in-order Execution is out-of-order (=> out-of-order completion) Commit (write-back to architectural state, regfile+memory) is in-order In-order Out-of-order In-order Fetch Decode Reorder Buffer Commit complete Execute Temporary storage needed to hold results before commit (shadow registers and store buffers) Extensions for Speculation 6.823, L Instruction reorder buffer Ins# use exec op p1 src1 p2 src2 pd dest data ptr 2 next to commit ptr 1 next available add <pd, dest, data> fields in the instruction template commit instructions to reg file and memory in program order buffers can be maintained circularly wrong speculation roll back the next available pointer no speculative stores Page 9
10 Branch Instructions 6.823, L Branch instructions are entered into the ROB normally, except the predicted branch direction is also recorded When the branch is resolved and prediction is incorrect, ptr 1 is rewound to just after the speculated branch in the instruction template use-bits of all incorrectly speculated instructions after the failed branch are reset Fetch pipeline is flushed and fetch stream redirected When branch is committed, Branch predictors (BTBs, BHTs, etc.) are updated Branch Execution 6.823, L Update predictors Branch Prediction Branch Resolution PC Fetch Decode Reorder Buffer Commit Execute Can have multiple unresolved branches in ROB Can resolve branches out-of-order Page 10
11 Rollback and Renaming 6.823, L Register File (now holds only committed state) Reorder buffer Ins# use exec op p1 src1 p2 src2 pd dest data t 1 t 2.. t n Load FU FU FU Store Commit < t, result > Register file does not contain renaming tags any more. How does the decode stage find the tag of a source register? Renaming Table 6.823, L Rename Table r 1 r 2 t i t j Register File Reorder buffer Ins# use exec op p1 src1 p2 src2 pd dest data t 1 t 2.. t n Load FU FU FU Store Commit < t, result > Renaming table caches register name look up. Machine takes snapshot of table at each predicted branch, and recovers earlier snapshot if branch mispredicted. Page 11
12 Physical Register File 6.823, L r 1 r 2 t i t j Snapshots for mispredict recovery t 1 t 2. t n Reg File Rename Table Load FU FU FU Store (ROB not shown) < t, result > One regfile for both committed and speculative values (no data in ROB) During decode, instruction result allocated new physical register, source regs translated to physical regs through rename table Instruction reads data from regfile at start of execute (not in decode) Write-back updates reg. busy bits on instructions in ROB (assoc. search) Snapshots of rename table taken at every branch to recover mispredicts On exception, renaming undone in reverse order of issue (MIPS R10000) Speculative Loads / Stores 6.823, L Just like register updates, stores should not modify the memory until after the instruction is committed store buffer entry must carry a speculation bit and the tag of the corresponding store instruction If the instruction is committed, the speculation bit of the corresponding store buffer entry is cleared If the instruction is ed, the corresponding store buffer entry is freed Loads work normally -- older store buffer entries needs to be searched before accessing the memory or the cache Page 12
13 Datapath: Branch Prediction and Speculative Execution 6.823, L PC Branch Prediction Fetch Decode & Rename Branch Resolution Reorder Buffer Update predictors Commit Reg. File Branch Execute ALU MEM Store Buffer D$ Page 13
CS252 Spring 2017 Graduate Computer Architecture. Lecture 8: Advanced Out-of-Order Superscalar Designs Part II
CS252 Spring 2017 Graduate Computer Architecture Lecture 8: Advanced Out-of-Order Superscalar Designs Part II Lisa Wu, Krste Asanovic http://inst.eecs.berkeley.edu/~cs252/sp17 WU UCB CS252 SP17 Last Time
More informationLecture 12 Branch Prediction and Advanced Out-of-Order Superscalars
CS 152 Computer Architecture and Engineering CS252 Graduate Computer Architecture Lecture 12 Branch Prediction and Advanced Out-of-Order Superscalars Krste Asanovic Electrical Engineering and Computer
More informationAnnouncements. ECE4750/CS4420 Computer Architecture L10: Branch Prediction. Edward Suh Computer Systems Laboratory
ECE4750/CS4420 Computer Architecture L10: Branch Prediction Edward Suh Computer Systems Laboratory suh@csl.cornell.edu Announcements Lab2 and prelim grades Back to the regular office hours 2 1 Overview
More informationCS 152 Computer Architecture and Engineering. Lecture 5 - Pipelining II (Branches, Exceptions)
CS 152 Computer Architecture and Engineering Lecture 5 - Pipelining II (Branches, Exceptions) John Wawrzynek Electrical Engineering and Computer Sciences University of California at Berkeley http://www.eecs.berkeley.edu/~johnw
More informationCS 152, Spring 2011 Section 8
CS 152, Spring 2011 Section 8 Christopher Celio University of California, Berkeley Agenda Grades Upcoming Quiz 3 What it covers OOO processors VLIW Branch Prediction Intel Core 2 Duo (Penryn) Vs. NVidia
More informationCS252 Graduate Computer Architecture Midterm 1 Solutions
CS252 Graduate Computer Architecture Midterm 1 Solutions Part A: Branch Prediction (22 Points) Consider a fetch pipeline based on the UltraSparc-III processor (as seen in Lecture 5). In this part, we evaluate
More informationCS 152 Computer Architecture and Engineering. Lecture 12 - Advanced Out-of-Order Superscalars
CS 152 Computer Architecture and Engineering Lecture 12 - Advanced Out-of-Order Superscalars Dr. George Michelogiannakis EECS, University of California at Berkeley CRD, Lawrence Berkeley National Laboratory
More informationComplex Pipelining: Out-of-order Execution & Register Renaming. Multiple Function Units
6823, L14--1 Complex Pipelining: Out-of-order Execution & Register Renaming Laboratory for Computer Science MIT http://wwwcsglcsmitedu/6823 Multiple Function Units 6823, L14--2 ALU Mem IF ID Issue WB Fadd
More informationDonn Morrison Department of Computer Science. TDT4255 ILP and speculation
TDT4255 Lecture 9: ILP and speculation Donn Morrison Department of Computer Science 2 Outline Textbook: Computer Architecture: A Quantitative Approach, 4th ed Section 2.6: Speculation Section 2.7: Multiple
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 informationLooking for Instruction Level Parallelism (ILP) Branch Prediction. Branch Prediction. Importance of Branch Prediction
Looking for Instruction Level Parallelism (ILP) Branch Prediction We want to identify and exploit ILP instructions that can potentially be executed at the same time. Branches are 15-20% of instructions
More informationComputer Architecture 计算机体系结构. Lecture 4. Instruction-Level Parallelism II 第四讲 指令级并行 II. Chao Li, PhD. 李超博士
Computer Architecture 计算机体系结构 Lecture 4. Instruction-Level Parallelism II 第四讲 指令级并行 II Chao Li, PhD. 李超博士 SJTU-SE346, Spring 2018 Review Hazards (data/name/control) RAW, WAR, WAW hazards Different types
More informationECE 552 / CPS 550 Advanced Computer Architecture I. Lecture 9 Instruction-Level Parallelism Part 2
ECE 552 / CPS 550 Advanced Computer Architecture I Lecture 9 Instruction-Level Parallelism Part 2 Benjamin Lee Electrical and Computer Engineering Duke University www.duke.edu/~bcl15 www.duke.edu/~bcl15/class/class_ece252fall12.html
More informationLooking for Instruction Level Parallelism (ILP) Branch Prediction. Branch Prediction. Importance of Branch Prediction
Looking for Instruction Level Parallelism (ILP) Branch Prediction We want to identify and exploit ILP instructions that can potentially be executed at the same time. Branches are 5-20% of instructions
More informationComplex 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 informationProcessor (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 informationLecture 13: Branch Prediction
S 09 L13-1 18-447 Lecture 13: Branch Prediction James C. Hoe Dept of ECE, CMU March 4, 2009 Announcements: Spring break!! Spring break next week!! Project 2 due the week after spring break HW3 due Monday
More informationCS 252 Graduate Computer Architecture. Lecture 4: Instruction-Level Parallelism
CS 252 Graduate Computer Architecture Lecture 4: Instruction-Level Parallelism Krste Asanovic Electrical Engineering and Computer Sciences University of California, Berkeley http://wwweecsberkeleyedu/~krste
More informationSuperscalar Processors Ch 14
Superscalar Processors Ch 14 Limitations, Hazards Instruction Issue Policy Register Renaming Branch Prediction PowerPC, Pentium 4 1 Superscalar Processing (5) Basic idea: more than one instruction completion
More informationSuperscalar Processing (5) Superscalar Processors Ch 14. New dependency for superscalar case? (8) Output Dependency?
Superscalar Processors Ch 14 Limitations, Hazards Instruction Issue Policy Register Renaming Branch Prediction PowerPC, Pentium 4 1 Superscalar Processing (5) Basic idea: more than one instruction completion
More informationAnnouncements. ECE4750/CS4420 Computer Architecture L11: Speculative Execution I. Edward Suh Computer Systems Laboratory
ECE4750/CS4420 Computer Architecture L11: Speculative Execution I Edward Suh Computer Systems Laboratory suh@csl.cornell.edu Announcements Lab3 due today 2 1 Overview Branch penalties limit performance
More informationBranch statistics. 66% forward (i.e., slightly over 50% of total branches). Most often Not Taken 33% backward. Almost all Taken
Branch statistics Branches occur every 4-7 instructions on average in integer programs, commercial and desktop applications; somewhat less frequently in scientific ones Unconditional branches : 20% (of
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 informationISA P40 P36 P38 F6 F8 P34 P12 P14 P16 P18 P20 P22 P24
CS252 Graduate Computer Architecture Lecture 9 Prediction/Speculation (Branches, Return Addrs) February 15 th, 2011 John Kubiatowicz Electrical Engineering and Computer Sciences University of California,
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 informationControl Hazards. Branch Prediction
Control Hazards The nub of the problem: In what pipeline stage does the processor fetch the next instruction? If that instruction is a conditional branch, when does the processor know whether the conditional
More informationComputer Systems Architecture I. CSE 560M Lecture 10 Prof. Patrick Crowley
Computer Systems Architecture I CSE 560M Lecture 10 Prof. Patrick Crowley Plan for Today Questions Dynamic Execution III discussion Multiple Issue Static multiple issue (+ examples) Dynamic multiple issue
More informationCS 152 Computer Architecture and Engineering. Lecture 13 - Out-of-Order Issue and Register Renaming
CS 152 Computer Architecture and Engineering Lecture 13 - Out-of-Order Issue and Register Renaming Krste Asanovic Electrical Engineering and Computer Sciences University of California at Berkeley http://wwweecsberkeleyedu/~krste
More informationCS 152 Computer Architecture and Engineering
CS 152 Computer Architecture and Engineering Lecture 18 Advanced Processors II 2006-10-31 John Lazzaro (www.cs.berkeley.edu/~lazzaro) Thanks to Krste Asanovic... TAs: Udam Saini and Jue Sun www-inst.eecs.berkeley.edu/~cs152/
More informationCS 152 Computer Architecture and Engineering. Lecture 10 - Complex Pipelines, Out-of-Order Issue, Register Renaming
CS 152 Computer Architecture and Engineering Lecture 10 - Complex Pipelines, Out-of-Order Issue, Register Renaming John Wawrzynek Electrical Engineering and Computer Sciences University of California at
More informationStatic Branch Prediction
Static Branch Prediction Branch prediction schemes can be classified into static and dynamic schemes. Static methods are usually carried out by the compiler. They are static because the prediction is already
More informationSuperscalar Processors Ch 13. Superscalar Processing (5) Computer Organization II 10/10/2001. New dependency for superscalar case? (8) Name dependency
Superscalar Processors Ch 13 Limitations, Hazards Instruction Issue Policy Register Renaming Branch Prediction 1 New dependency for superscalar case? (8) Name dependency (nimiriippuvuus) two use the same
More informationDynamic Branch Prediction
#1 lec # 6 Fall 2002 9-25-2002 Dynamic Branch Prediction Dynamic branch prediction schemes are different from static mechanisms because they use the run-time behavior of branches to make predictions. Usually
More informationAdvanced 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 informationOld formulation of branch paths w/o prediction. bne $2,$3,foo subu $3,.. ld $2,..
Old formulation of branch paths w/o prediction bne $2,$3,foo subu $3,.. ld $2,.. Cleaner formulation of Branching Front End Back End Instr Cache Guess PC Instr PC dequeue!= dcache arch. PC branch resolution
More informationHardware-Based Speculation
Hardware-Based Speculation Execute instructions along predicted execution paths but only commit the results if prediction was correct Instruction commit: allowing an instruction to update the register
More informationControl Hazards. Prediction
Control Hazards The nub of the problem: In what pipeline stage does the processor fetch the next instruction? If that instruction is a conditional branch, when does the processor know whether the conditional
More informationCOMPUTER 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 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 informationE0-243: Computer Architecture
E0-243: Computer Architecture L1 ILP Processors RG:E0243:L1-ILP Processors 1 ILP Architectures Superscalar Architecture VLIW Architecture EPIC, Subword Parallelism, RG:E0243:L1-ILP Processors 2 Motivation
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 informationece4750-t11-ooo-execution-notes.txt ========================================================================== ece4750-l12-ooo-execution-notes.txt ==========================================================================
More informationHardware-based Speculation
Hardware-based Speculation Hardware-based Speculation To exploit instruction-level parallelism, maintaining control dependences becomes an increasing burden. For a processor executing multiple instructions
More informationECE 4750 Computer Architecture, Fall 2017 T13 Advanced Processors: Branch Prediction
ECE 4750 Computer Architecture, Fall 2017 T13 Advanced Processors: Branch Prediction School of Electrical and Computer Engineering Cornell University revision: 2017-11-20-08-48 1 Branch Prediction Overview
More informationSuperscalar Processors
Superscalar Processors Superscalar Processor Multiple Independent Instruction Pipelines; each with multiple stages Instruction-Level Parallelism determine dependencies between nearby instructions o input
More informationAdvanced processor designs
Advanced processor designs We ve only scratched the surface of CPU design. Today we ll briefly introduce some of the big ideas and big words behind modern processors by looking at two example CPUs. The
More informationHardware-based speculation (2.6) Multiple-issue plus static scheduling = VLIW (2.7) Multiple-issue, dynamic scheduling, and speculation (2.
Instruction-Level Parallelism and its Exploitation: PART 2 Hardware-based speculation (2.6) Multiple-issue plus static scheduling = VLIW (2.7) Multiple-issue, dynamic scheduling, and speculation (2.8)
More informationCS 152, Spring 2012 Section 8
CS 152, Spring 2012 Section 8 Christopher Celio University of California, Berkeley Agenda More Out- of- Order Intel Core 2 Duo (Penryn) Vs. NVidia GTX 280 Intel Core 2 Duo (Penryn) dual- core 2007+ 45nm
More informationLecture 18: Instruction Level Parallelism -- Dynamic Superscalar, Advanced Techniques,
Lecture 18: Instruction Level Parallelism -- Dynamic Superscalar, Advanced Techniques, ARM Cortex-A53, and Intel Core i7 CSCE 513 Computer Architecture Department of Computer Science and Engineering Yonghong
More informationThe 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 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 informationA superscalar machine is one in which multiple instruction streams allow completion of more than one instruction per cycle.
CS 320 Ch. 16 SuperScalar Machines A superscalar machine is one in which multiple instruction streams allow completion of more than one instruction per cycle. A superpipelined machine is one in which a
More informationEN164: Design of Computing Systems Topic 06.b: Superscalar Processor Design
EN164: Design of Computing Systems Topic 06.b: Superscalar Processor Design Professor Sherief Reda http://scale.engin.brown.edu Electrical Sciences and Computer Engineering School of Engineering Brown
More informationInstruction Fetch and Branch Prediction. CprE 581 Computer Systems Architecture Readings: Textbook (4 th ed 2.3, 2.9); (5 th ed 3.
Instruction Fetch and Branch Prediction CprE 581 Computer Systems Architecture Readings: Textbook (4 th ed 2.3, 2.9); (5 th ed 3.3) 1 Frontend and Backend Feedback: - Prediction correct or not, update
More informationInstruction Level Parallelism
Instruction Level Parallelism Software View of Computer Architecture COMP2 Godfrey van der Linden 200-0-0 Introduction Definition of Instruction Level Parallelism(ILP) Pipelining Hazards & Solutions Dynamic
More informationLecture 8: Branch Prediction, Dynamic ILP. Topics: static speculation and branch prediction (Sections )
Lecture 8: Branch Prediction, Dynamic ILP Topics: static speculation and branch prediction (Sections 2.3-2.6) 1 Correlating Predictors Basic branch prediction: maintain a 2-bit saturating counter for each
More informationTopics. Digital Systems Architecture EECE EECE Predication, Prediction, and Speculation
Digital Systems Architecture EECE 343-01 EECE 292-02 Predication, Prediction, and Speculation Dr. William H. Robinson February 25, 2004 http://eecs.vanderbilt.edu/courses/eece343/ Topics Aha, now I see,
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 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 informationWilliam Stallings Computer Organization and Architecture 8 th Edition. Chapter 14 Instruction Level Parallelism and Superscalar Processors
William Stallings Computer Organization and Architecture 8 th Edition Chapter 14 Instruction Level Parallelism and Superscalar Processors What is Superscalar? Common instructions (arithmetic, load/store,
More informationReal Processors. Lecture for CPSC 5155 Edward Bosworth, Ph.D. Computer Science Department Columbus State University
Real Processors Lecture for CPSC 5155 Edward Bosworth, Ph.D. Computer Science Department Columbus State University Instruction-Level Parallelism (ILP) Pipelining: executing multiple instructions in parallel
More information5008: Computer Architecture
5008: Computer Architecture Chapter 2 Instruction-Level Parallelism and Its Exploitation CA Lecture05 - ILP (cwliu@twins.ee.nctu.edu.tw) 05-1 Review from Last Lecture Instruction Level Parallelism Leverage
More informationWide Instruction Fetch
Wide Instruction Fetch Fall 2007 Prof. Thomas Wenisch http://www.eecs.umich.edu/courses/eecs470 edu/courses/eecs470 block_ids Trace Table pre-collapse trace_id History Br. Hash hist. Rename Fill Table
More informationCase Study IBM PowerPC 620
Case Study IBM PowerPC 620 year shipped: 1995 allowing out-of-order execution (dynamic scheduling) and in-order commit (hardware speculation). using a reorder buffer to track when instruction can commit,
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 informationComputer Architecture: Branch Prediction. Prof. Onur Mutlu Carnegie Mellon University
Computer Architecture: Branch Prediction Prof. Onur Mutlu Carnegie Mellon University A Note on This Lecture These slides are partly from 18-447 Spring 2013, Computer Architecture, Lecture 11: Branch Prediction
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 information1993. (BP-2) (BP-5, BP-10) (BP-6, BP-10) (BP-7, BP-10) YAGS (BP-10) EECC722
Dynamic Branch Prediction Dynamic branch prediction schemes run-time behavior of branches to make predictions. Usually information about outcomes of previous occurrences of branches are used to predict
More informationAdvanced 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 informationMultithreaded Processors. Department of Electrical Engineering Stanford University
Lecture 12: Multithreaded Processors Department of Electrical Engineering Stanford University http://eeclass.stanford.edu/ee382a Lecture 12-1 The Big Picture Previous lectures: Core design for single-thread
More informationNOW Handout Page 1. Review from Last Time #1. CSE 820 Graduate Computer Architecture. Lec 8 Instruction Level Parallelism. Outline
CSE 820 Graduate Computer Architecture Lec 8 Instruction Level Parallelism Based on slides by David Patterson Review Last Time #1 Leverage Implicit Parallelism for Performance: Instruction Level Parallelism
More informationCSE 820 Graduate Computer Architecture. week 6 Instruction Level Parallelism. Review from Last Time #1
CSE 820 Graduate Computer Architecture week 6 Instruction Level Parallelism Based on slides by David Patterson Review from Last Time #1 Leverage Implicit Parallelism for Performance: Instruction Level
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 informationHardware Speculation Support
Hardware Speculation Support Conditional instructions Most common form is conditional move BNEZ R1, L ;if MOV R2, R3 ;then CMOVZ R2,R3, R1 L: ;else Other variants conditional loads and stores nullification
More informationECE/CS 552: Introduction to Superscalar Processors
ECE/CS 552: Introduction to Superscalar Processors Prof. Mikko Lipasti Lecture notes based in part on slides created by Mark Hill, David Wood, Guri Sohi, John Shen and Jim Smith Limitations of Scalar Pipelines
More informationCS152 Computer Architecture and Engineering SOLUTIONS Complex Pipelines, Out-of-Order Execution, and Speculation Problem Set #3 Due March 12
Assigned 2/28/2018 CS152 Computer Architecture and Engineering SOLUTIONS Complex Pipelines, Out-of-Order Execution, and Speculation Problem Set #3 Due March 12 http://inst.eecs.berkeley.edu/~cs152/sp18
More informationTDT4255 Computer Design. Review Lecture. Magnus Jahre. TDT4255 Computer Design
1 TDT4255 Computer Design Review Lecture Magnus Jahre 2 ABOUT THE EXAM 3 About exam The exam will cover a large part of the curriculum (reading list) Exam properties that we seek: Comprehensible and unambiguous
More information250P: Computer Systems Architecture. Lecture 9: Out-of-order execution (continued) Anton Burtsev February, 2019
250P: Computer Systems Architecture Lecture 9: Out-of-order execution (continued) Anton Burtsev February, 2019 The Alpha 21264 Out-of-Order Implementation Reorder Buffer (ROB) Branch prediction and instr
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 informationECE 552: Introduction To Computer Architecture 1. Scalar upper bound on throughput. Instructor: Mikko H Lipasti. University of Wisconsin-Madison
ECE/CS 552: Introduction to Superscalar Processors Instructor: Mikko H Lipasti Fall 2010 University of Wisconsin-Madison Lecture notes partially based on notes by John P. Shen Limitations of Scalar Pipelines
More informationEECC551 - Shaaban. 1 GHz? to???? GHz CPI > (?)
Evolution of Processor Performance So far we examined static & dynamic techniques to improve the performance of single-issue (scalar) pipelined CPU designs including: static & dynamic scheduling, static
More informationCS 152 Computer Architecture and Engineering
CS 152 Computer Architecture and Engineering Lecture 17 Advanced Processors I 2005-10-27 John Lazzaro (www.cs.berkeley.edu/~lazzaro) TAs: David Marquardt and Udam Saini www-inst.eecs.berkeley.edu/~cs152/
More information15-740/ Computer Architecture Lecture 5: Precise Exceptions. Prof. Onur Mutlu Carnegie Mellon University
15-740/18-740 Computer Architecture Lecture 5: Precise Exceptions Prof. Onur Mutlu Carnegie Mellon University Last Time Performance Metrics Amdahl s Law Single-cycle, multi-cycle machines Pipelining Stalls
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 informationLecture 9: Dynamic ILP. Topics: out-of-order processors (Sections )
Lecture 9: Dynamic ILP Topics: out-of-order processors (Sections 2.3-2.6) 1 An Out-of-Order Processor Implementation Reorder Buffer (ROB) Branch prediction and instr fetch R1 R1+R2 R2 R1+R3 BEQZ R2 R3
More informationInstruction Level Parallelism (Branch Prediction)
Instruction Level Parallelism (Branch Prediction) Branch Types Type Direction at fetch time Number of possible next fetch addresses? When is next fetch address resolved? Conditional Unknown 2 Execution
More informationCS152 Computer Architecture and Engineering. Complex Pipelines, Out-of-Order Execution, and Speculation Problem Set #3 Due March 12
CS152 Computer Architecture and Engineering Assigned 2/28/2018 Complex Pipelines, Out-of-Order Execution, and Speculation Problem Set #3 Due March 12 http://inst.eecs.berkeley.edu/~cs152/sp18 The problem
More informationCSE 490/590 Computer Architecture Homework 2
CSE 490/590 Computer Architecture Homework 2 1. Suppose that you have the following out-of-order datapath with 1-cycle ALU, 2-cycle Mem, 3-cycle Fadd, 5-cycle Fmul, no branch prediction, and in-order fetch
More informationEN164: Design of Computing Systems Lecture 24: Processor / ILP 5
EN164: Design of Computing Systems Lecture 24: Processor / ILP 5 Professor Sherief Reda http://scale.engin.brown.edu Electrical Sciences and Computer Engineering School of Engineering Brown University
More information1 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 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 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 informationEEC 581 Computer Architecture. Instruction Level Parallelism (3.6 Hardware-based Speculation and 3.7 Static Scheduling/VLIW)
1 EEC 581 Computer Architecture Instruction Level Parallelism (3.6 Hardware-based Speculation and 3.7 Static Scheduling/VLIW) Chansu Yu Electrical and Computer Engineering Cleveland State University Overview
More informationLecture 5: Instruction Pipelining. Pipeline hazards. Sequential execution of an N-stage task: N Task 2
Lecture 5: Instruction Pipelining Basic concepts Pipeline hazards Branch handling and prediction Zebo Peng, IDA, LiTH Sequential execution of an N-stage task: 3 N Task 3 N Task Production time: N time
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 informationChapter 3 (CONT II) Instructor: Josep Torrellas CS433. Copyright J. Torrellas 1999,2001,2002,2007,
Chapter 3 (CONT II) Instructor: Josep Torrellas CS433 Copyright J. Torrellas 1999,2001,2002,2007, 2013 1 Hardware-Based Speculation (Section 3.6) In multiple issue processors, stalls due to branches would
More informationComputer Architecture Lecture 12: Out-of-Order Execution (Dynamic Instruction Scheduling)
18-447 Computer Architecture Lecture 12: Out-of-Order Execution (Dynamic Instruction Scheduling) Prof. Onur Mutlu Carnegie Mellon University Spring 2015, 2/13/2015 Agenda for Today & Next Few Lectures
More informationQuiz 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 informationComputer Systems Architecture
Computer Systems Architecture Lecture 12 Mahadevan Gomathisankaran March 4, 2010 03/04/2010 Lecture 12 CSCE 4610/5610 1 Discussion: Assignment 2 03/04/2010 Lecture 12 CSCE 4610/5610 2 Increasing Fetch
More information