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Computer Architecture 2015– Pipeline 1 Computer Architecture Pipeline By Yoav Etsion & Dan Tsafrir Presentation based on slides by David Patterson, Avi.

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Presentation on theme: "Computer Architecture 2015– Pipeline 1 Computer Architecture Pipeline By Yoav Etsion & Dan Tsafrir Presentation based on slides by David Patterson, Avi."— Presentation transcript:

1 Computer Architecture 2015– Pipeline 1 Computer Architecture Pipeline By Yoav Etsion & Dan Tsafrir Presentation based on slides by David Patterson, Avi Mendelson, Randi Katz, and Lihu Rappoport

2 Computer Architecture 2015– Pipeline 2 Pipelined CPU with Control

3 Computer Architecture 2015– Pipeline 3 Pipeline Hazards: 1. Structural Hazards

4 Computer Architecture 2015– Pipeline 4 Structural Hazard  Two instructions attempt to use same resource simultaneously  Problem: register-file accessed in 2 stages  Write during stage 5 (WB)  Read during stage 2 (ID) => Resource (RF) conflict  Solution  Clock splits stage into two  Reads are combinatorial; Writes are sequential  2 read ports, 1 write port (separate)

5 Computer Architecture 2015– Pipeline 5 Structural Hazard  Problem: memory accessed in 2 stages  Fetch (stage 1), when reading instructions from memory  Memory (stage 4), when data is read/written from/to memory  Princeton architecture  Solution  Split data/inst. Memories  Harvard architecture  Today, separate instruction cache and data cache

6 Computer Architecture 2015– Pipeline 6 Pipeline Hazards: 2. Data Hazards

7 Computer Architecture 2015– Pipeline 7  When two instructions access the same register  RAW: Read-After-Write  True dependency  WAR: Write-After-Read  Anti-dependency  WAW: Write-After-Write  False-dependency  Key problem with regular in-order pipelines is RAW  We will also learn about out-of-order pipelines Data Dependencies

8 Computer Architecture 2015– Pipeline 8  Problem with starting next instruction before first is finished  dependencies that “go backward in time” are data hazards Data Dependencies sub R2, R1, R3 and R12,R2, R5 or R13,R6, R2 add R14,R2, R2 sw R15,100(R2) Program execution order CC 1CC 2CC 3CC 4CC 5CC 6 Time (clock cycles) CC 7CC 8CC 9 10 0 –20 Value of R2 10 -20

9 Computer Architecture 2015– Pipeline 9 IM bubble IM IM RAW Hazard: HW Solution 1 - Add Stalls IMReg CC 1CC 2CC 3CC 4CC 5CC 6 Time (clock cycles) CC 7CC 8CC 9 100–20 Value of R2 DM Reg IMDMReg Reg IMReg IM Reg DMReg IMDMReg Reg Reg DM sub R2, R1, R3 stall and R12,R2, R5 or R13,R6, R2 add R14,R2, R2 sw R15,100(R2) Program execution order 10 -20 Let the hardware detect hazard and add stalls if needed Problem: slow! Solution: forwarding whenever possible

10 Computer Architecture 2015– Pipeline 10  Use temporary results, don’t wait for them to be written to the register file  register file forwarding to handle read/write to same register  ALU forwarding RAW Hazard: HW Solution 2 - Forwarding IMReg IMReg IMRegDMReg IMDMReg IMDMReg DMReg Reg Reg Reg XXX–20XXXXX XXXX– XXXX DM sub R2, R1, R3 and R12,R2, R5 or R13,R6, R2 add R14,R2, R2 sw R15,100(R2) Program execution order CC 1CC 2CC 3CC 4CC 5CC 6 Time (clock cycles) CC 7CC 8CC 9 10 0 –20 Value of R2 10 -20 Value EX/MEM Value MEM/WB

11 Computer Architecture 2015– Pipeline 11 Forwarding Hardware

12 Computer Architecture 2015– Pipeline 12 Forwarding Hardware Added 2 mux units before ALU Each mux gets 3 inputs, from: 1.Prev stage (ID/EX) 2.Next stage (EX/MEM) 3.The one after (MEM/WB) Forward unit tells the 2 mux units which input to use

13 Computer Architecture 2015– Pipeline 13  “load” op can cause “un-forwardable” hazards  load value to R  In the next instruction, use R as input  A bigger problem in longer pipelines Can't always forward (stall inevitable) Reg IM Reg Reg IM IMRegDMReg IMDMReg IMDMReg DMReg Reg Reg DM CC 1CC 2CC 3CC 4CC 5CC 6 Time (clock cycles) CC 7CC 8CC 9 Program execution order lw R2, 30(R1) and R12,R2, R5 or R13,R6, R2 add R14,R2, R2 sw R15,100(R2)

14 Computer Architecture 2015– Pipeline 14 Pipeline Hazards: 3. Control Hazards

15 Computer Architecture 2015– Pipeline 15 Branch, but where?  The decision to branch happens deep within the pipeline  Likewise, the target of the branch becomes known deep within the pipeline  How does this affect the pipeline logic?  For example…

16 Computer Architecture 2015– Pipeline 16 Executing a BEQ Instruction (i) BEQ R4, R5, 27 → if (R4-R5=0) then PC  PC+4+SignExt(27)*4 ; else PC  PC+4 0 or 4 beq R4, R5, 27 8 and 12 sw 16 sub Assume this program state

17 Computer Architecture 2015– Pipeline 17 Executing a BEQ Instruction (i) BEQ R4, R5, 27 → if (R4-R5=0) then PC  PC+4+SignExt(27)*4 ; else PC  PC+4 0 or 4 beq R4, R5, 27 8 and 12 sw 16 sub We know: Values of registers We don’t know: If branch will be taken What is its target

18 Computer Architecture 2015– Pipeline 18 Executing a BEQ Instruction (ii) BEQ R4, R5, 27 → if (R4-R5=0) then PC  PC+4+SignExt(27)*4 ; else PC  PC+4 0 or 4 beq R4, R5, 27 8 and 12 sw 16 sub …Now we know, but only in next cycle will this effect PC Calculate branch condition = compute R4-R5 & compare to 0 Calculate branch target

19 Computer Architecture 2015– Pipeline 19 Executing a BEQ Instruction (iii) BEQ R4, R5, 27 → if (R4-R5=0) then PC  PC+4+SignExt(27)*4 ; else PC  PC+4 0 or 4 beq R4, R5, 27 8 and 12 sw 16 sub Finally, if taken, branch sets the PC

20 Computer Architecture 2015– Pipeline 20 Control Hazard on Branches And Beq sub sw Inst from target IMRegDM Reg PC IMRegDM Reg IMRegDM Reg IMRegDM Reg IMRegDM Reg Outcome: The 3 instructions following the branch are in the pipeline even if branch is taken!

21 Computer Architecture 2015– Pipeline 21 Stall  Easiest solution:  Stall pipe when branch encountered until resolved  But there’s a prices. Assume:  CPI = 1  20% of instructions are branches (realistic)  Stall 3 cycles on every branch (extra 3 cycles for each branch)  Then the price is:  CPI new = 1 + 0.2 × 3 = 1.6// 1 = all instr., including branch  [ CPI new = CPI Ideal + avg. stall cycles / instr. ]  Namely:  IPC drops from 1 to 1/1.6  We lose ~37% of the performance!

22 Computer Architecture 2015– Pipeline 22 Traps, Exceptions and Interrupts  Indication of events that require a higher authority to intervene (i.e. the operating system)  Atomically changes the protection mode and branches to OS  Protection mode determines what the running is allowed to do (access devices, memory, etc).  Traps: Synchronous  The program asks for OS services (e.g. access a device)  Exceptions: Synchronous  The program did something bad (divide-by-zero; prot. violation)  Interrupts: Asynchronous  An external device needs OS attention (finished an operation)  Can these be handled like regular branches?

23 Computer Architecture 2015– Pipeline 23 Branch Prediction and Speculative Execution

24 Computer Architecture 2015– Pipeline 24 Static prediction: branch not taken  Execute instructions from the fall-through (not-taken) path  As if there is no branch  If the branch is not-taken (~50%), no penalty is paid  If branch actually taken  Flush the fall-through path instructions before they change the machine state (memory / registers)  Fetch the instructions from the correct (taken) path  Assuming ~50% branches not taken on average  CPI new = 1 + (0.2 × 0.5) × 3 = 1.3  23% slowdown instead of 37%  What happens in longer pipelines?

25 Computer Architecture 2015– Pipeline 25 Dynamic branch prediction  Branch prediction is a key impediment to performance  Modern processors employ complex branch predictors  Often achieve < 3% misprediction rate  Given an instruction, we need to predict  Is it a branch?  Branch taken?  Target address?  To avoid stalling  Prediction needed at end of ‘fetch’  Before we even now what the instruction is…  A simple mechanism: Branch Target Buffer (BTB)

26 Computer Architecture 2015– Pipeline 26 BTB – the idea fast lookup table PC of fetched instruction ?= Predicted branch taken or not taken? (last few times) No => we don’t know, so we don’t predict Yes => instruction is a branch, so let’s predict it Branch PC Target PC History Predicted Target (Works in a straightforward manner only for direct branches, otherwise target PC changes)

27 Computer Architecture 2015– Pipeline 27 How it works in a nutshell  Until proven otherwise, assume branches are not taken  Fall through instructions (assume branch has no effect)  Upon the first time a branch is taken  Pay the price (in terms of stalls), but  Save the details of the branch in the BTB (= PC, target PC, and whether or not branch was taken)  While fetching, HW checks in parallel  Whether PC is in BTB  If found, make a prediction  Taken? Address?  Upon misprediction  Flush (throw out) pipeline content & start over from right PC

28 Computer Architecture 2015– Pipeline 28 Prediction steps 1. Allocate  Insert instruction to BTB once identified as taken branch  Do we want to insert not-taken branches?  Option: Implicitly predict they’d continue not to be taken  Insert both conditional & unconditional  To identify, and to save arithmetic 2. Predict  BTB lookup done in parallel to PC-lookup, providing:  Indication whether PC is a branch (=> BTB “hit”)  Branch target  Branch direction (forward or backward in program)  Branch type (conditional or not) 3. Update (when branch taken & its outcome becomes known)  Branch target, history (taken or not)

29 Computer Architecture 2015– Pipeline 29 Misprediction  Occurs when  Predict = not taken, reality = taken  Predict = taken, reality = not taken  Branch taken as predicted, but wrong target (indirect, as in the jmp register)  Must flush pipeline  Reset pipeline registers (similar to turning all into NOPs)  Commonly, other flush methods are easier to implement  Set the PC to the correct path  Start fetching instruction from correct path

30 Computer Architecture 2015– Pipeline 30 CPI  Assuming a fraction of p correct predictions  CPI_new = 1 + (0.2 × (1-p)) × 3  Example, p=0.7  CPI_new = 1 + (0.2 × 0.3) × 3 = 1.18  Example, p=0.98  CPI_new = 1 + (0.2 × 0.02) × 3 = 1.012  (But this is a simplistic model; in reality the price can sometimes be much higher.)

31 Computer Architecture 2015– Pipeline 31 History & prediction algorithm  “Always backward” prediction  Works for long loops  Some branches exhibit “locality”  Typically behave as the last time they were invoked  Typically depend on their previous outcome (& it alone)  Can save a history window  What happened last time, and before that, and before…  The bigger the window, the greater the complexity  Some branches regularly alternate between taken & untaken  Taken, then untaken, then taken, …  Need only one history bit to identify this  Some branches are correlated with previous branches  Those that lead to them

32 Computer Architecture 2015– Pipeline 32 Adding a BTB to the Pipeline

33 Computer Architecture 2015– Pipeline 33 Using The BTB PC moves to next instruction Inst Mem gets PC and fetches new inst BTB gets PC and looks it up IF/ID reg. loaded with new inst BTB Hit ?Br taken ? PC  PC + 4PC  pred addr IF ID IF/ID reg. loaded with pred inst IF/ID reg. loaded with seq. inst Branch ? yesno yes noyes EXE

34 Computer Architecture 2015– Pipeline 34 Using The BTB (cont.) ID EXE MEM WB Branch ? Calculate br cond & trgt Flush pipe & update PC Corect pred ? yesno IF/ID latch loaded with correct inst continue Update BTB yes no continue

35 Computer Architecture 2015– Pipeline 35 Prediction algorithm  Can do an entire course on this issue  Still actively researched  As noted, modern predictors can often achieve misprediction < 3%  Still, it has been shown that these 3% can sometimes significantly worsen performance  A real problem in out-of-order pipelines  We did not talk about the issue of indirect branches  As in virtual function calls (object oriented)  Where the branch target is written in memory, elsewhere


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