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Review of Instruction Sets, Pipelines, and Caches

Review of Instruction Sets, Pipelines, and Caches. A. B. C. D. Pipelining: Its Natural!. Laundry Example Ann, Brian, Cathy, Dave each have one load of clothes to wash, dry, and fold Washer takes 30 minutes Dryer takes 40 minutes “Folder” takes 20 minutes. A. B. C. D.

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Review of Instruction Sets, Pipelines, and Caches

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  1. Review of Instruction Sets, Pipelines, and Caches

  2. A B C D Pipelining: Its Natural! • Laundry Example • Ann, Brian, Cathy, Dave each have one load of clothes to wash, dry, and fold • Washer takes 30 minutes • Dryer takes 40 minutes • “Folder” takes 20 minutes

  3. A B C D Sequential Laundry 6 PM Midnight 7 8 9 11 10 Time • Sequential laundry takes 6 hours for 4 loads • If they learned pipelining, how long would laundry take? 30 40 20 30 40 20 30 40 20 30 40 20 T a s k O r d e r

  4. 30 40 40 40 40 20 A B C D Pipelined LaundryStart work ASAP 6 PM Midnight 7 8 9 11 10 Time • Pipelined laundry takes 3.5 hours for 4 loads T a s k O r d e r

  5. 30 40 40 40 40 20 A B C D Pipelining Lessons 6 PM 7 8 9 • Pipelining doesn’t help latency of single task, it helps throughput of entire workload • Pipeline rate limited by slowest pipeline stage • Multiple tasks operating simultaneously • Potential speedup = Number pipe stages • Unbalanced lengths of pipe stages reduces speedup • Time to “fill” pipeline and time to “drain” it reduces speedup Time T a s k O r d e r

  6. Computer Pipelines • Execute billions of instructions, so throughput is what matters • DLX desirable features: all instructions same length, registers located in same place in instruction format, memory operands only in loads or stores

  7. 5 Steps of DLX DatapathFigure 3.1, Page 130 Instruction Fetch Instr. Decode Reg. Fetch Execute Addr. Calc Memory Access Write Back IR L M D

  8. Pipelined DLX DatapathFigure 3.4, page 137 Instruction Fetch Instr. Decode Reg. Fetch Execute Addr. Calc. Write Back Memory Access • Data stationary control • local decode for each instruction phase / pipeline stage

  9. Visualizing PipeliningFigure 3.3, Page 133 Time (clock cycles) I n s t r. O r d e r

  10. Its Not That Easy for Computers • Limits to pipelining: Hazards prevent next instruction from executing during its designated clock cycle • Structural hazards: HW cannot support this combination of instructions (single person to fold and put clothes away) • Data hazards: Instruction depends on result of prior instruction still in the pipeline (missing sock) • Control hazards: Pipelining of branches & other instructionsstall the pipeline until the hazardbubbles” in the pipeline

  11. One Memory Port/Structural HazardsFigure 3.6, Page 142 Time (clock cycles) Load I n s t r. O r d e r Instr 1 Instr 2 Instr 3 Instr 4

  12. One Memory Port/Structural HazardsFigure 3.7, Page 143 Time (clock cycles) Load I n s t r. O r d e r Instr 1 Instr 2 stall Instr 3

  13. Speed Up Equation for Pipelining CPIpipelined = Ideal CPI + Pipeline stall clock cycles per instr Speedup = Ideal CPI x Pipeline depth Clock Cycleunpipelined Ideal CPI + Pipeline stall CPI Clock Cyclepipelined Speedup = Pipeline depth Clock Cycleunpipelined 1 + Pipeline stall CPI Clock Cyclepipelined x x

  14. Example: Dual-port vs. Single-port • Machine A: Dual ported memory • Machine B: Single ported memory, but its pipelined implementation has a 1.05 times faster clock rate • Ideal CPI = 1 for both • Loads are 40% of instructions executed SpeedUpA = Pipeline Depth/(1 + 0) x (clockunpipe/clockpipe) = Pipeline Depth SpeedUpB = Pipeline Depth/(1 + 0.4 x 1) x (clockunpipe/(clockunpipe / 1.05) = (Pipeline Depth/1.4) x 1.05 = 0.75 x Pipeline Depth SpeedUpA / SpeedUpB = Pipeline Depth/(0.75 x Pipeline Depth) = 1.33 • Machine A is 1.33 times faster

  15. Data Hazard on R1Figure 3.9, page 147 Time (clock cycles) IF ID/RF EX MEM WB I n s t r. O r d e r add r1,r2,r3 sub r4,r1,r3 and r6,r1,r7 or r8,r1,r9 xor r10,r1,r11

  16. Three Generic Data Hazards InstrI followed by InstrJ • Read After Write (RAW)InstrJ tries to read operand before InstrI writes it

  17. Three Generic Data Hazards InstrI followed by InstrJ • Write After Read (WAR)InstrJ tries to write operand before InstrI reads i • Gets wrong operand • Can’t happen in DLX 5 stage pipeline because: • All instructions take 5 stages, and • Reads are always in stage 2, and • Writes are always in stage 5

  18. Three Generic Data Hazards InstrI followed by InstrJ • Write After Write (WAW)InstrJ tries to write operand before InstrI writes it • Leaves wrong result ( InstrI not InstrJ ) • Can’t happen in DLX 5 stage pipeline because: • All instructions take 5 stages, and • Writes are always in stage 5 • Will see WAR and WAW in later more complicated pipes

  19. Forwarding to Avoid Data HazardFigure 3.10, Page 149 Time (clock cycles) I n s t r. O r d e r add r1,r2,r3 sub r4,r1,r3 and r6,r1,r7 or r8,r1,r9 xor r10,r1,r11

  20. HW Change for ForwardingFigure 3.20, Page 161

  21. Data Hazard Even with ForwardingFigure 3.12, Page 153 Time (clock cycles) lwr1, 0(r2) I n s t r. O r d e r sub r4,r1,r6 and r6,r1,r7 or r8,r1,r9

  22. Data Hazard Even with ForwardingFigure 3.13, Page 154 Time (clock cycles) I n s t r. O r d e r lwr1, 0(r2) sub r4,r1,r6 and r6,r1,r7 or r8,r1,r9

  23. Software Scheduling to Avoid Load Hazards Try producing fast code for a = b + c; d = e – f; assuming a, b, c, d ,e, and f in memory. Slow code: LW Rb,b LW Rc,c ADD Ra,Rb,Rc SW a,Ra LW Re,e LW Rf,f SUB Rd,Re,Rf SW d,Rd Fast code: LW Rb,b LW Rc,c LW Re,e ADD Ra,Rb,Rc LW Rf,f SW a,Ra SUB Rd,Re,Rf SW d,Rd

  24. Control Hazard on BranchesThree Stage Stall

  25. Branch Stall Impact • If CPI = 1, 30% branch, Stall 3 cycles => new CPI = 1.9! • Two part solution: • Determine branch taken or not sooner, AND • Compute taken branch address earlier • DLX branch tests if register = 0 or ° 0 • DLX Solution: • Move Zero test to ID/RF stage • Adder to calculate new PC in ID/RF stage • 1 clock cycle penalty for branch versus 3

  26. Pipelined DLX DatapathFigure 3.22, page 163 Instruction Fetch Instr. Decode Reg. Fetch Execute Addr. Calc. Memory Access Write Back This is the correct 1 cycle latency implementation!

  27. Four Branch Hazard 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% DLX branches not taken on average • PC+4 already calculated, so use it to get next instruction #3: Predict Branch Taken • 53% DLX branches taken on average • But haven’t calculated branch target address in DLX • DLX still incurs 1 cycle branch penalty • Other machines: branch target known before outcome

  28. Four Branch Hazard Alternatives #4: Delayed Branch • Define branch to take place AFTER a following instruction branch instruction sequential successor1 sequential successor2 ........ sequential successorn branch target if taken • 1 slot delay allows proper decision and branch target address in 5 stage pipeline • DLX uses this Branch delay of length n

  29. Delayed Branch • Where to get instructions to fill branch delay slot? • Before branch instruction • From the target address: only valuable when branch taken • From fall through: only valuable when branch not taken • Canceling branches allow more slots to be filled • Compiler effectiveness for single branch delay slot: • Fills about 60% of branch delay slots • About 80% of instructions executed in branch delay slots useful in computation • About 50% (60% x 80%) of slots usefully filled • Delayed Branch downside: 7-8 stage pipelines, multiple instructions issued per clock (superscalar)

  30. Evaluating Branch Alternatives Scheduling Branch CPI speedup v. speedup v. scheme penalty unpipelined stall Stall pipeline 3 1.42 3.5 1.0 Predict taken 1 1.14 4.4 1.26 Predict not taken 1 1.09 4.5 1.29 Delayed branch 0.5 1.07 4.6 1.31 Conditional & Unconditional = 14%, 65% change PC

  31. Improvements in Delayed Branches • Cancelling branches • if branch behaves as predicted, normal delayed branch • otherwise, turn the delay slot to a NO-OP • Helps the compiler in rescheduling instructions without restrictions • Deeper pipes with longer branch delays make delayed branching less attractive • Newer RISC machines use combination of ordinary and delayed branches, sometimes only ordinary branches with better prediction

  32. Prediction Techniques • Taken and non-taken predictions • Separating the forward and backward branches • Profile-based predictions • behavior of branches highy biased towards taken and non-taken • changing the input has minimal effect on the branch behavior

  33. Handling Exceptions • Turn off all writes for the faulting instruction and for all the instructions that follow in the pipe • Save PC of the faulting instruction • For delayed branch, needs multiple PCs • no. of delay slots + 1 • Precise exceptions - instructions just before the fault are completed and those after can be restarted from scratch • slower mode

  34. Out-of-order Exceptions • (I+1)th instruction may cause an exception before I does • Handles by using exception status vectors • Disable the side effects as soon as exception is found • Exception handling happens at WB, in the un-pipelined order

  35. Multi-Cycle Operations • Impractical to require the FP operations to complete in 1 or 2 clock cycles • either slow down the clock • or complex fp hardware • Instead allow FP pipe line a longer latency • May cause more hazards • Divide unit not fully pipelined - structural hazard • WAW since the instructions reach WB out of order • Causes additional problems with exception • Out of order precise exceptions • Either serialize the FP operations or buffer the results of operation

  36. Pipelining Introduction Summary • Just overlap tasks, and easy if tasks are independent • Speed Up Š Pipeline Depth; if ideal CPI is 1, then: • Hazards limit performance on computers: • Structural: need more HW resources • Data (RAW,WAR,WAW): need forwarding, compiler scheduling • Control: delayed branch, prediction Pipeline Depth Clock Cycle Unpipelined Speedup = X Clock Cycle Pipelined 1 + Pipeline stall CPI

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