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1 성균관대 소프트웨어대학 신동군 Computer Architecture Chapter 4-3 The Processor: Enhancing Performance with Pipelining

Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

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Page 1: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

1성균관대소프트웨어대학신동군

Computer Architecture

Chapter 4-3

The Processor:Enhancing Performance with Pipelining

Page 2: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

2성균관대소프트웨어대학신동군

Data Hazards

Pipeline data hazards-Backward dep. lines

ReadWrite

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3성균관대소프트웨어대학신동군

One Alternative Approach: Compiler Scheduling

Pipeline works but we do nothing useful during two nop cycles

--> Can compiler do some intelligent guess to replace nop’s?

Page 4: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

4성균관대소프트웨어대학신동군

Hazard Detection

1a. EX/MEM.RegisterRd = ID/EX.RegisterRs1b. EX/MEM.RegisterRd = ID/EX.RegisterRt2a. MEM/WB.RegisterRd = ID/EX.RegisterRs2b. MEM/WB.RegisterRd = ID/EX.RegisterRt

sub $2, $1, $3

and $12, $2, $5 1a

or $13, $6, $2 2b

add $14, $2, $2 no

sw $15, 100($2) no

Q: Any Problem?

We can resolve hazards with forwarding- How do we detect when to forward?

Page 5: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

5성균관대소프트웨어대학신동군

Detecting the Need to Forward

• Problems:

– Some instructions do not write registers

– $0 as destination (sll $0, $1, 2)

• do not forward nonzero result value

• But only if forwarding instruction will write to a register!

– EX/MEM.RegWrite, MEM/WB.RegWrite

• And only if Rd for that instruction is not $zero

– EX/MEM.RegisterRd ≠ 0,MEM/WB.RegisterRd ≠ 0

Page 6: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

6성균관대소프트웨어대학신동군

Forwarding/Bypassing

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7성균관대소프트웨어대학신동군

No Forwarding

Page 8: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

8성균관대소프트웨어대학신동군

Forwarding

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9성균관대소프트웨어대학신동군

Hazard Detection & Forwarding

1. EX Hazard

If (EX/MEM.RegWrite

and (EX/MEM.RegisterRd != 0)

and (EX/MEM.RegisterRd = ID/EX.RegisterRs))

ForwardA = 10 /* from prior ALU result */

If (EX/MEM.RegWrite

and (EX/MEM.RegisterRd != 0)

and (EX/MEM.RegisterRd = ID/EX.RegisterRt))

ForwardB = 10 /* from prior ALU result */

Page 10: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

10성균관대소프트웨어대학신동군

Hazard Detection & Forwarding

2. MEM Hazard

If (MEM/WB.RegWrite

and (MEM/WB.RegisterRd != 0)

and (MEM/WB.RegisterRd = ID/EX.RegisterRs))

ForwardA = 01 /* from memory or earlier ALU result */

If (MEM/WB.RegWrite

and (MEM/WB.RegisterRd != 0)

and (MEM/WB.RegisterRd = ID/EX.RegisterRt))

ForwardB = 01 /* from memory or earlier ALU result */

Page 11: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

11성균관대소프트웨어대학신동군

One Complication

add $1, $1, $2

add $1, $1, $3

add $1, $1, $4

If (MEM/WB.RegWrite

and (MEM/WB.RegisterRd != 0)

and (EX/MEM.RegisterRd != ID/EX.RegisterRs)

and (MEM/WB.RegisterRd = ID/EX.RegisterRs))

ForwardA = 01

Result in MEM stage is more recent!

Page 12: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

12성균관대소프트웨어대학신동군

Forwarding Example

sub $2, $1, $3

and $4, $2, $5

or $4, $4, $2

add $9, $4, $2

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13성균관대소프트웨어대학신동군

Clock 3

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14성균관대소프트웨어대학신동군

Clock 4

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15성균관대소프트웨어대학신동군

Clock 5

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16성균관대소프트웨어대학신동군

Clock 6

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17성균관대소프트웨어대학신동군

Load-Use Data Hazard

Need to stall

for one cycle

Page 18: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

18성균관대소프트웨어대학신동군

Hazard Detection Logic

If (ID/EX.MemRead

and ((ID/EX.RegisterRt = IF/ID.RegisterRs) or

(ID/EX.RegisterRt = IF/ID.RegisterRt)))

Stall the pipeline

Page 19: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

19성균관대소프트웨어대학신동군

How to Stall

• If instruction in the ID stage stall

– instruction in the IF stage must be stalled as well

• Stalling means preventing any progress

– Prevent PC and IF/ID from changing

– Keep the old values (that is, keep washing the same clothes)

• Insert nop in the EX stage

– Set the EX, MEM and WB control fields to 0

– The minimum is to deassert RegWrite and MemWrite (i.e,. No State Change)

Page 20: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

20성균관대소프트웨어대학신동군

Stall Example

Page 21: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

21성균관대소프트웨어대학신동군

Pipelined Control with Hazard Detection Unit

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22성균관대소프트웨어대학신동군

Stall & Forwarding Example

lw $2, 20 ($1)

and $4, $2, $5

or $4, $4, $2

add $9, $4, $2

Page 23: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

23성균관대소프트웨어대학신동군

Clock 2

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24성균관대소프트웨어대학신동군

Clock 3

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25성균관대소프트웨어대학신동군

Clock 4

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26성균관대소프트웨어대학신동군

Clock 5

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27성균관대소프트웨어대학신동군

Clock 6

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28성균관대소프트웨어대학신동군

Clock 7

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29성균관대소프트웨어대학신동군

Stalls and Performance

• Stalls reduce performance

– But are required to get correct results

• Compiler can arrange code to avoid hazards and stalls

– Requires knowledge of the pipeline structure

Page 30: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

30성균관대소프트웨어대학신동군

Branch Hazards

• If branch outcome determined in MEM

PC

Flush these

instructions

(Set control

values to 0)

Stall three cycles

Page 31: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

31성균관대소프트웨어대학신동군

Static Prediction: Branch Not Taken

• Alternative to simple stalling

• Assume that branches will not be taken:

– If really not taken, we are fine.

– If taken, discard/flush instructions in IF, ID and EX stages

• Make them nop’s.

• Q: How can we improve the performance further?

Page 32: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

32성균관대소프트웨어대학신동군

Taken-Branch Penalty

• Taken-branch penalty = 3 cycles

– 3 instructions to flush

• How to improve?

1. Compute the branch target address EARLIER

2. Make a branch decision EARLIER

• How early? IF? ID? EXE?

ID Stage

1. branch target address calculation

Move a branch adder from MEM to ID

2. branch decision

Exclusive ORing two registers then ORing all bits

if two registers are equal, the result is 0

How about forwarding and stalling?add $1, $2, $3beq $1, $5, 10

A B AB

0 0 0

0 1 1

1 0 1

1 1 0

Page 33: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

33성균관대소프트웨어대학신동군

Example: Branch Taken

Page 34: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

34성균관대소프트웨어대학신동군

Example: Branch Taken

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35성균관대소프트웨어대학신동군

Data Hazards for Branches

• If a comparison register is a destination of 2nd or 3rd

preceding ALU instruction

IF ID EX MEM WB

IF ID EX MEM WB

IF ID EX MEM WB

IF ID EX MEM WB

add $4, $5, $6

add $1, $2, $3

beq $1, $4, target

Can resolve using forwarding

Page 36: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

36성균관대소프트웨어대학신동군

Data Hazards for Branches

• If a comparison register is a destination of preceding ALU instruction or 2nd preceding load instruction

– Need 1 stall cycle

beq stalled

IF ID EX MEM WB

IF ID EX MEM WB

IF ID

ID EX MEM WB

add $4, $5, $6

lw $1, addr

beq $1, $4, target

Page 37: Computer Architecture Chapter 4-3 The Processor: Enhancing ...nyx.skku.ac.kr/wp-content/uploads/2017/08/CA-lec4-3.pdf · 성균관대소프트웨어대학신동군 1 Computer Architecture

37성균관대소프트웨어대학신동군

Data Hazards for Branches

• If a comparison register is a destination of immediately preceding load instruction

– Need 2 stall cycles

beq stalled

IF ID EX MEM WB

IF ID

ID

ID EX MEM WB

beq stalled

lw $1, addr

beq $1, $0, target

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38성균관대소프트웨어대학신동군

Dynamic Branch Prediction

• In deeper and superscalar pipelines, branch penalty is more significant

• Use dynamic prediction

– Predict the future branch behavior by the recent past

– Branch prediction buffer (aka branch history table)

– Indexed by recent branch instruction addresses

– Stores outcome (taken/not taken)

• To execute a branch

– Check table, expect the same outcome

– Start fetching from fall-through or target

– If wrong, flush pipeline and flip prediction

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39성균관대소프트웨어대학신동군

1-bit Predictor

• For loop branch, mispredict twice instead of once

– Mispredict on the first iteration

– Mispredict on the last iteration

outer: ……

inner: ……beq …, …, inner…beq …, …, outer

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40성균관대소프트웨어대학신동군

2-bit Predictor

Only change prediction on two successive mispredictions

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41성균관대소프트웨어대학신동군

Calculating the Branch Target

• Even with predictor, still need to calculate the target address

– 1-cycle penalty for a taken branch

• Branch target buffer

– Cache of target addresses

– Indexed by PC when instruction fetched

• If hit and instruction is branch predicted taken, can fetch target immediately

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42성균관대소프트웨어대학신동군

Exceptions

• Exception = unprogrammed control transfer

– system takes action to handle the exception• must record the address of the offending instruction

– returns control to user

– must save & restore user state

User program

_________________________________________________

System Exception Handler

___________________________________return fromexception

normal control flow:sequential, jumps, branches, calls, returns

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43성균관대소프트웨어대학신동군

Two Types of Exceptions

• Interrupts

– caused by external events

– asynchronous to program execution

– may be handled between instructions

– simply suspend and resume user program

• Traps

– caused by internal events

• exceptional conditions (overflow)

• errors (parity)

• faults (non-resident page)

– synchronous to program execution

– condition must be remedied by the handler

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44성균관대소프트웨어대학신동군

MIPS Convention

• Exception

– means any unexpected change in control flow, without distinguishing internal or external

• Interrupt

– only when the event is externally caused.

Type of event From where? MIPS terminology

I/O device request External Interrupt

Invoke OS from user program Internal Exception

Arithmetic overflow Internal Exception

Using an undefined instruction Internal Exception

Hardware malfunctions Either Exception or Interrupt

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45성균관대소프트웨어대학신동군

MIPS Exception Handling

• How does MIPS handle exceptions?

– Saves PC in the dedicated register EPC

• cannot overwrite $ra because its value is needed to complete executing the interrupted program

– Records the reason for the exception in the Cause register

– Loads special value into PC, the exception handler’s address (PC 0x80000180)

• cf. vectored interrupt

– the exception handler’s address is determined by the cause of the exception

– undef: PC 0x8000000, overflow: PC 0x80000180

– The instruction RFE restores the PC from EPC

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46성균관대소프트웨어대학신동군

Pipeline with Exceptions

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47성균관대소프트웨어대학신동군

Exception Example

40: sub $11, $2, $4

44: and $12, $2, $5

48: or $13, $2, $6

4C: add $1, $2, $1 overflow exception

50: slt $15, $6, $7

54: lw $16, 50($7)

Exception Handler:

80000180: sw $25, 1000($0)

80000184: sw $26, 1004($0)

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48성균관대소프트웨어대학신동군

Exception Example

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49성균관대소프트웨어대학신동군

Exception Example

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50성균관대소프트웨어대학신동군

Multiple Exceptions in Same Cycle

• IF: Memory Fault

• ID: Undefined Instruction

• EXE: Arithmetic Overflow, O/S Calls

• MEM: Memory Fault

• WB: None

• Q: How to detect which instruction(s) caused interrupt(s)?

– In MIPS, collected in Cause register

– Guess based on the types of exceptions for each stages

• Q: How to prioritize multiple exceptions?

– In MIPS, the earliest instruction first

– Flush subsequent instructions

– “Precise” exceptions

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51성균관대소프트웨어대학신동군

Imprecise Interrupts

• In complex pipelines

– Multiple instructions issued per cycle

– Out-of-order completion

– Maintaining precise exceptions is difficult!

• Imprecise Exception

– Just stop pipeline and save state

– Including exception cause(s)

– Let the handler work out

• Which instruction(s) had exceptions

• Which to complete or flush

• May require “manual” completion

– Simplifies hardware, but more complex handler software

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52성균관대소프트웨어대학신동군

Advanced Topics

• To increase ILP

– Deeper pipeline

• Less work per stage shorter clock cycle

– Multi Issue

• Multiple instructions per stage

• CPI < 1 or IPC (Instructions Per Clock Cycle) > 1

• Static Multiple Issue: VLIW

• Dynamic Multiple Issue: Superscalar

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53성균관대소프트웨어대학신동군

Speculation

• “Guess” what to do with an instruction

– Start operation as soon as possible

– Check whether guess was right

• If so, complete the operation

• If not, roll-back and do the right thing

• Common to static and dynamic multiple issue

• Examples

– Speculate on branch outcome

• Roll back if path taken is different

– Speculate on load

• Roll back if location is updated

sw $5, $4(5)…lw $2, $3(10)

$4+5 ≠ $3+10

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54성균관대소프트웨어대학신동군

Compiler/Hardware Speculation

• Compiler can reorder instructions

– e.g., move an instruction across a branch

– or a load across a store

– Can include “fix-up” instructions to recover from incorrect guess

• Hardware can look ahead for instructions to execute

– Buffer results until it determines they are actually needed

– Flush buffers on incorrect speculation

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55성균관대소프트웨어대학신동군

MIPS with Static Dual Issue

• Two-issue packets

– One ALU/branch instruction

– One load/store instruction

– 64-bit aligned

• ALU/branch, then load/store

• Pad an unused instruction with nop

Address Instruction type Pipeline Stages

n ALU/branch IF ID EX MEM WB

n + 4 Load/store IF ID EX MEM WB

n + 8 ALU/branch IF ID EX MEM WB

n + 12 Load/store IF ID EX MEM WB

n + 16 ALU/branch IF ID EX MEM WB

n + 20 Load/store IF ID EX MEM WB

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56성균관대소프트웨어대학신동군

Static Two-Issue Datapath

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57성균관대소프트웨어대학신동군

Scheduling Example

• Schedule this for dual-issue MIPS

Loop: lw $t0, 0($s1) # $t0=array elementaddu $t0, $t0, $s2 # add scalar in $s2sw $t0, 0($s1) # store resultaddi $s1, $s1,–4 # decrement pointerbne $s1, $zero, Loop # branch $s1!=0

ALU/branch Load/store cycle

Loop: nop lw $t0, 0($s1) 1

addi $s1, $s1,–4 nop 2

addu $t0, $t0, $s2 nop 3

bne $s1, $zero, Loop sw $t0, 4($s1) 4

IPC = 5/4 = 1.25 (c.f. peak IPC = 2)

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58성균관대소프트웨어대학신동군

Loop Unrolling

• Replicate loop body to expose more parallelism

– Reduces loop-control overhead

• Use different registers per replication

– Called “register renaming”

– Avoid loop-carried “anti-dependencies”

• Store followed by a load of the same register

• Aka “name dependence”

– Reuse of a register name

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59성균관대소프트웨어대학신동군

Loop Unrolling Example

• IPC = 14/8 = 1.75

– Closer to 2, but at cost of registers and code size

ALU/branch Load/store cycle

Loop: addi $s1, $s1,–16 lw $t0, 0($s1) 1

nop lw $t1, 12($s1) 2

addu $t0, $t0, $s2 lw $t2, 8($s1) 3

addu $t1, $t1, $s2 lw $t3, 4($s1) 4

addu $t2, $t2, $s2 sw $t0, 16($s1) 5

addu $t3, $t3, $s2 sw $t1, 12($s1) 6

nop sw $t2, 8($s1) 7

bne $s1, $zero, Loop sw $t3, 4($s1) 8

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60성균관대소프트웨어대학신동군

Dynamic Pipeline Scheduling

• Allow the CPU to execute instructions out of order to avoid stalls

– But commit result to registers in order

• Example

lw $t0, 20($s2)addu $t1, $t0, $t2sub $s4, $s4, $t3slti $t5, $s4, 20

– Can start sub while addu is waiting for lw

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61성균관대소프트웨어대학신동군

Dynamically Scheduled CPU

Results also sent

to any waiting

reservation stations

Reorders buffer for

register writesCan supply

operands for

issued instructions

Preserves

dependencies

Hold pending

operands

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62성균관대소프트웨어대학신동군

Register Renaming

• Reservation stations and reorder buffer effectively provide register renaming

• On instruction issue to reservation station

– If operand is available in register file or reorder buffer• Copied to reservation station

• No longer required in the register; can be overwritten

– If operand is not yet available• It will be provided to the reservation station by a function unit

• Register update may not be required

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63성균관대소프트웨어대학신동군

Speculation

• Predict branch and continue issuing

– Don’t commit until branch outcome determined

• Load speculation

– Avoid load and cache miss delay

• Predict the effective address

• Predict loaded value

• Load before completing outstanding stores

• Bypass stored values to load unit

– Don’t commit load until speculation cleared

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64성균관대소프트웨어대학신동군

Why Do Dynamic Scheduling?

• Why not just let the compiler schedule code?

• Not all stalls are predicable

– e.g., cache misses

• Can’t always schedule around branches

– Branch outcome is dynamically determined

• Different implementations of an ISA have different latencies and hazards

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65성균관대소프트웨어대학신동군

Does Multiple Issue Work?

• Yes, but not as much as we’d like

• Programs have real dependencies that limit ILP

• Some dependencies are hard to eliminate– e.g., pointer aliasing

• Some parallelism is hard to expose– Limited window size during instruction issue

• Memory delays and limited bandwidth– Hard to keep pipelines full

• Speculation can help if done well

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66성균관대소프트웨어대학신동군

Power Efficiency

• Complexity of dynamic scheduling and speculations requires power

• Multiple simpler cores may be better

Microprocessor Year Clock Rate Pipeline

Stages

Issue

width

Out-of-order/

Speculation

Cores Power

i486 1989 25MHz 5 1 No 1 5W

Pentium 1993 66MHz 5 2 No 1 10W

Pentium Pro 1997 200MHz 10 3 Yes 1 29W

P4 Willamette 2001 2000MHz 22 3 Yes 1 75W

P4 Prescott 2004 3600MHz 31 3 Yes 1 103W

Core 2006 2930MHz 14 4 Yes 2 75W

UltraSparc III 2003 1950MHz 14 4 No 1 90W

UltraSparc T1 2005 1200MHz 6 1 No 8 70W

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Cortex A8 and Intel i7

Processor ARM A8 Intel Core i7 920

Market Personal Mobile Device Server, cloud

Thermal design power 2 Watts 130 Watts

Clock rate 1 GHz 2.66 GHz

Cores/Chip 1 4

Floating point? No Yes

Multiple issue? Dynamic Dynamic

Peak instructions/clock cycle 2 4

Pipeline stages 14 14

Pipeline schedule Static in-order Dynamic out-of-order withspeculation

Branch prediction 2-level 2-level

1st level caches/core 32 KiB I, 32 KiB D 32 KiB I, 32 KiB D

2nd level caches/core 128-1024 KiB 256 KiB

3rd level caches (shared) - 2- 8 MB

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68성균관대소프트웨어대학신동군

ARM Cortex-A8 Pipeline

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69성균관대소프트웨어대학신동군

ARM Cortex-A8 Performance

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70성균관대소프트웨어대학신동군

Core i7 Pipeline

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71성균관대소프트웨어대학신동군

Core i7 Performance

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Performance Impact

Advanced Vector Extensions(subword parallelism)

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Pitfalls

• Poor ISA design can make pipelining harder

– e.g., complex instruction sets (VAX, IA-32)

• Significant overhead to make pipelining work

• IA-32 micro-op approach

– e.g., complex addressing modes

• Register update side effects, memory indirection

– e.g., delayed branches

• Advanced pipelines have long delay slots

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74성균관대소프트웨어대학신동군

Concluding Remarks

• ISA influences design of datapath and control

• Datapath and control influence design of ISA

• Pipelining improves instruction throughputusing parallelism

– More instructions completed per second

– Latency for each instruction not reduced

• Hazards: structural, data, control

• Multiple issue and dynamic scheduling (ILP)

– Dependencies limit achievable parallelism

– Complexity leads to the power wall