Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer...

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Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architecture: A Quantitative Approach 4th Edition, John L. Hennessy & David A. Patterso with modifications.

Transcript of Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer...

Page 1: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

Chapter 3Instruction Level Parallelism

2Dr. Eng. Amr T. Abdel-Hamid

Elect 707

Spring 2014

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Text book slides: Computer Architecture: A Quantitative Approach 4th Edition, John L. Hennessy  &  David A. Patterso with modifications.

Page 2: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Control Hazard on BranchesThree Stage Stall

10: beq r1,r3,36

14: and r2,r3,r5

18: or r6,r1,r7

22: add r8,r1,r9

36: xor r10,r1,r11

Reg ALU DMemIfetch Reg

Reg ALU DMemIfetch Reg

Reg ALU DMemIfetch Reg

Reg ALU DMemIfetch Reg

Reg ALU DMemIfetch

Page 3: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Solving Branch Problems

Prediction Static: Software Dynamic: hardware

Speculation

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Static Branch Alternatives#1: Stall until branch direction is clear#2: Predict Branch Not Taken

Execute successor instructions in sequence “Squash” instructions in pipeline if branch actually taken Advantage of late pipeline state update 47% MIPS branches not taken on average PC+4 already calculated, so use it to get next instruction

#3: Predict Branch Taken 53% MIPS branches taken on average But haven’t calculated branch target address in MIPS

MIPS still incurs 1 cycle branch penaltyOther solutions: branch target known before outcome

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Dynamic Branch Prediction

Performance = ƒ(accuracy, cost of misprediction) Branch History Table: Lower bits of PC address index

table of 1-bit values Says whether or not branch taken last time No address check

Problem: in a loop, 1-bit BHT will cause two mispredictions (avg is 9 iterations before exit): End of loop case, when it exits instead of looping as before First time through loop on next time through code, when it

predicts exit instead of looping

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Branch History Table

T

Predict TakenPredict not Taken

1 0T

NT

1-bit prediction

NT

Feedback

01

BHTbranch PC

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Solution: 2-bit scheme where change prediction only if get misprediction twice

Adds hysteresis to decision making process

Dynamic Branch Prediction

T

T NT

NT

Predict Taken

Predict Not Taken

Predict Taken

Predict Not TakenT

NTT

NT

Page 8: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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BHT Accuracy Mispredict because either:

Wrong guess for that branch Got branch history of wrong branch when index the

table 4096 entry table:

Page 9: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Correlating Branches

Code example showing the potential

Assemble code

Observation: if BNEZ1 and BNEZ2 is not taken, then BNEZ3 is taken

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Correlating Branch Predictor

Idea: taken/not taken of recently executed branches is related to behavior of next branch (as well as the history of that branch behavior)

Then behavior of recent branches selects between, say, 2 predictions of next branch, updating just that prediction

(1,1) predictor: 1-bit global, 1-bit local

Branch address (4 bits)

1-bits per branch local predictors

PredictionPrediction

1-bit global branch history(0 = not taken)

Page 11: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Correlated Branch Prediction

Idea: record m most recently executed branches as taken or not taken, and use that pattern to select the proper n-bit branch history table

In general, (m,n) predictor means record last m branches to select between 2m history tables, each with n-bit counters Thus, old 2-bit BHT is a (0,2) predictor

Global Branch History: m-bit shift register keeping T/NT status of last m branches.

Each entry in table has m n-bit predictors.

Page 12: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Correlating Branches(2,2) predictor

– Behavior of recent branches selects between four predictions of next branch, updating just that prediction

Branch address

2-bits per branch predictor

Prediction

2-bit global branch history

4

Page 13: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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5%6% 6%

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12%

14%

16%

18%

20%

4,096 entries: 2-bits per entry Unlimited entries: 2-bits/entry 1,024 entries (2,2)

Accuracy of Different Schemes

4096 Entries 2-bit BHTUnlimited Entries 2-bit BHT1024 Entries (2,2) BHT

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Page 14: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Loop Example

Loop: LD F0 0 R1 SD F4 0 R1 SUBI R1 R1 #8 MULTD F4 F0 F2

BNEZ F4 Loop

very long wait for branch?

Page 15: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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spec·u·la·tion spec·u·la·tion :    [spek-yuh-ley-shuhn]  Show IPA1.

the contemplation or consideration of some subject: toengage in speculation on humanity's ultimate destiny.

2. a single instance or process of consideration.3. a conclusion or opinion reached by such contemplation:

These speculations are impossible to verify.4.

conjectural consideration of a matter; conjecture or surmise:a report based on speculation rather than facts.

5. engagement in business transactions involving considerable risk but offering the chance of large gains, especially trading in commodities, stocks, etc., in the hope of profit from changes in the market price

Page 16: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Speculation to greater ILP

Greater ILP: Overcome control dependence by hardware speculating on outcome of branches and executing program as if guesses were correct Dynamic scheduling only fetches and issues

instructions Speculation fetch, issue, and execute instructions

as if branch predictions were always correct Essentially a data flow execution model: Operations

execute as soon as their operands are available

Page 17: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Speculation to greater ILP3 components of HW-based speculation:

1.Dynamic branch prediction to choose which instructions to execute 2.Speculation to allow execution of instructions before control dependences are resolved + ability to undo effects of incorrectly speculated sequence 3.Dynamic scheduling to deal with scheduling of different combinations of basic blocks

Page 18: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Adding Speculation to Tomasulo

Must separate execution from allowing instruction to finish or “commit”

This additional step called instruction commit When an instruction is no longer speculative,

allow it to update the register file or memory Requires additional set of buffers to hold results

of instructions that have finished execution but have not committed

This reorder buffer (ROB) is also used to pass results among instructions that may be speculated

Page 19: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Reorder Buffer (ROB)

In Tomasulo’s algorithm, once an instruction writes its result, any subsequently issued instructions will find result in the register file

With speculation, the register file is not updated until the instruction commits (we know definitively that the instruction should execute)

Thus, the ROB supplies operands in interval between completion of instruction execution and instruction commit ROB is a source of operands for instructions, just as

reservation stations (RS) provide operands in Tomasulo’s algorithm

ROB extends architecture registers like RS

Page 20: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Reorder Buffer Entry

Each entry in the ROB contains four fields: 1. Instruction type

• a branch (has no destination result), a store (has a memory address destination), or a register operation (ALU operation or load, which has register destinations)

2. Destination• Register number (for loads and ALU operations) or

memory address (for stores) where the instruction result should be written

3. Value• Value of instruction result until the instruction commits

4. Ready• Indicates that instruction has completed execution, and

the value is ready

Page 21: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Reorder Buffer operation

Holds instructions in FIFO order, exactly as issued When instructions complete, results placed into ROB

Supplies operands to other instruction between execution complete & commit more registers like RS

Tag results with ROB buffer number instead of reservation station

Instructions commit values at head of ROB placed in registers

As a result, easy to undo speculated instructions on mispredicted branches or on exceptions

ReorderBufferFP

OpQueue

FP Adder FP AdderRes Stations Res Stations

FP Regs

Commit path

Page 22: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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4 Steps of Speculative Tomasulo Algorithm

1. Issue—get instruction from FP Op Queue If reservation station and reorder buffer slot free, issue

instr & send operands & reorder buffer no. for destination (this stage sometimes called “dispatch”)

2. Execution—operate on operands (EX) When both operands ready then execute; if not ready,

watch CDB for result; when both in reservation station, execute; checks RAW (sometimes called “issue”)

3. Write result—finish execution (WB) Write on Common Data Bus to all awaiting FUs

& reorder buffer; mark reservation station available.4. Commit—update register with reorder result

When instr. at head of reorder buffer & result present, update register with result (or store to memory) and remove instr from reorder buffer. Mispredicted branch flushes reorder buffer (sometimes called “graduation”)

Page 23: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Tomasulo With Reorder buffer:

ToMemory

FP addersFP adders FP multipliersFP multipliers

Reservation Stations

FP OpQueue

ROB7

ROB6

ROB5

ROB4

ROB3

ROB2

ROB1F0F0 LD F0,10(R2)LD F0,10(R2) NN

Done?

DestDest

Oldest

Newest

from Memory

1 10+R21 10+R2Dest

Reorder Buffer

Registers

Page 24: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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2 ADDD R(F4),ROB12 ADDD R(F4),ROB1

Tomasulo With Reorder buffer:

ToMemory

FP addersFP adders FP multipliersFP multipliers

Reservation Stations

FP OpQueue

ROB7

ROB6

ROB5

ROB4

ROB3

ROB2

ROB1

F10F10

F0F0ADDD F10,F4,F0ADDD F10,F4,F0

LD F0,10(R2)LD F0,10(R2)NN

NN

Done?

DestDest

Oldest

Newest

from Memory

1 10+R21 10+R2Dest

Reorder Buffer

Registers

Page 25: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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3 DIVD ROB2,R(F6)3 DIVD ROB2,R(F6)2 ADDD R(F4),ROB12 ADDD R(F4),ROB1

Tomasulo With Reorder buffer:

ToMemory

FP addersFP adders FP multipliersFP multipliers

Reservation Stations

FP OpQueue

ROB7

ROB6

ROB5

ROB4

ROB3

ROB2

ROB1

F2F2

F10F10

F0F0

DIVD F2,F10,F6DIVD F2,F10,F6

ADDD F10,F4,F0ADDD F10,F4,F0

LD F0,10(R2)LD F0,10(R2)

NN

NN

NN

Done?

DestDest

Oldest

Newest

from Memory

1 10+R21 10+R2Dest

Reorder Buffer

Registers

Page 26: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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3 DIVD ROB2,R(F6)3 DIVD ROB2,R(F6)2 ADDD R(F4),ROB12 ADDD R(F4),ROB16 ADDD ROB5, R(F6)6 ADDD ROB5, R(F6)

Tomasulo With Reorder buffer:

ToMemory

FP addersFP adders FP multipliersFP multipliers

Reservation Stations

FP OpQueue

ROB7

ROB6

ROB5

ROB4

ROB3

ROB2

ROB1

F0F0 ADDD F0,F4,F6ADDD F0,F4,F6 NN

F4F4 LD F4,0(R3)LD F4,0(R3) NN

---- BNE F2,<…>BNE F2,<…> NN

F2F2

F10F10

F0F0

DIVD F2,F10,F6DIVD F2,F10,F6

ADDD F10,F4,F0ADDD F10,F4,F0

LD F0,10(R2)LD F0,10(R2)

NN

NN

NN

Done?

DestDest

Oldest

Newest

from Memory

1 10+R21 10+R2Dest

Reorder Buffer

Registers

5 0+R35 0+R3

Page 27: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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3 DIVD ROB2,R(F6)3 DIVD ROB2,R(F6)2 ADDD R(F4),ROB12 ADDD R(F4),ROB16 ADDD ROB5, R(F6)6 ADDD ROB5, R(F6)

Tomasulo With Reorder buffer:

ToMemory

FP addersFP adders FP multipliersFP multipliers

Reservation Stations

FP OpQueue

ROB7

ROB6

ROB5

ROB4

ROB3

ROB2

ROB1

----

F0F0ROB5ROB5

ST 0(R3),F4ST 0(R3),F4

ADDD F0,F4,F6ADDD F0,F4,F6NN

NN

F4F4 LD F4,0(R3)LD F4,0(R3) NN

---- BNE F2,<…>BNE F2,<…> NN

F2F2

F10F10

F0F0

DIVD F2,F10,F6DIVD F2,F10,F6

ADDD F10,F4,F0ADDD F10,F4,F0

LD F0,10(R2)LD F0,10(R2)

NN

NN

NN

Done?

DestDest

Oldest

Newest

from Memory

Dest

Reorder Buffer

Registers

1 10+R21 10+R25 0+R35 0+R3

Page 28: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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3 DIVD ROB2,R(F6)3 DIVD ROB2,R(F6)

Tomasulo With Reorder buffer:

ToMemory

FP addersFP adders FP multipliersFP multipliers

Reservation Stations

FP OpQueue

ROB7

ROB6

ROB5

ROB4

ROB3

ROB2

ROB1

----

F0F0M[10]M[10]

ST 0(R3),F4ST 0(R3),F4

ADDD F0,F4,F6ADDD F0,F4,F6YY

NN

F4F4 M[10]M[10] LD F4,0(R3)LD F4,0(R3) YY

---- BNE F2,<…>BNE F2,<…> NN

F2F2

F10F10

F0F0

DIVD F2,F10,F6DIVD F2,F10,F6

ADDD F10,F4,F0ADDD F10,F4,F0

LD F0,10(R2)LD F0,10(R2)

NN

NN

NN

Done?

DestDest

Oldest

Newest

from Memory

1 10+R21 10+R2Dest

Reorder Buffer

Registers

2 ADDD R(F4),ROB12 ADDD R(F4),ROB16 ADDD M[10],R(F6)6 ADDD M[10],R(F6)

Page 29: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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3 DIVD ROB2,R(F6)3 DIVD ROB2,R(F6)2 ADDD R(F4),ROB12 ADDD R(F4),ROB1

Tomasulo With Reorder buffer:

ToMemory

FP addersFP adders FP multipliersFP multipliers

Reservation Stations

FP OpQueue

ROB7

ROB6

ROB5

ROB4

ROB3

ROB2

ROB1

----

F0F0M[10]M[10]

<val2><val2>ST 0(R3),F4ST 0(R3),F4

ADDD F0,F4,F6ADDD F0,F4,F6YY

YY

F4F4 M[10]M[10] LD F4,0(R3)LD F4,0(R3) YY

---- BNE F2,<…>BNE F2,<…> NN

F2F2

F10F10

F0F0

DIVD F2,F10,F6DIVD F2,F10,F6

ADDD F10,F4,F0ADDD F10,F4,F0

LD F0,10(R2)LD F0,10(R2)

NN

NN

NN

Done?

DestDest

Oldest

Newest

from Memory

1 10+R21 10+R2Dest

Reorder Buffer

Registers

Page 30: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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----

F0F0M[10]M[10]

<val2><val2>ST 0(R3),F4ST 0(R3),F4

ADDD F0,F4,F6ADDD F0,F4,F6YY

YY

F4F4 M[10]M[10] LD F4,0(R3)LD F4,0(R3) YY

---- BNE F2,<…>BNE F2,<…> NN

3 DIVD ROB2,R(F6)3 DIVD ROB2,R(F6)2 ADDD R(F4),ROB12 ADDD R(F4),ROB1

Tomasulo With Reorder buffer:

ToMemory

FP addersFP adders FP multipliersFP multipliers

Reservation Stations

FP OpQueue

ROB7

ROB6

ROB5

ROB4

ROB3

ROB2

ROB1

F2F2

F10F10

F0F0

DIVD F2,F10,F6DIVD F2,F10,F6

ADDD F10,F4,F0ADDD F10,F4,F0

LD F0,10(R2)LD F0,10(R2)

NN

NN

NN

Done?

DestDest

Oldest

Newest

from Memory

1 10+R21 10+R2Dest

Reorder Buffer

Registers

Page 31: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Getting CPI below 1

CPI ≥ 1 if issue only 1 instruction every clock cycle Multiple-issue processors come in 3 flavors:

1. statically-scheduled superscalar processors,2. dynamically-scheduled superscalar processors, and 3. VLIW (very long instruction word) processors

2 types of superscalar processors issue varying numbers of instructions per clock use in-order execution if they are statically scheduled, or out-of-order execution if they are dynamically scheduled

VLIW processors, in contrast, issue a fixed number of instructions formatted either as one large instruction or as a fixed instruction packet with the parallelism among instructions explicitly indicated by the instruction (Intel/HP Itanium)

Page 32: Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:

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Reading Assignment: Intel Core i7 prediction scheme

Sections 3.3 & 3.6