Ch2. Instruction-Level Parallelism & Its Exploitation 2. Dynamic Scheduling

1. ECE Department University of Massachusetts Dartmouth285 Old Westport Rd.North Dartmouth, MA 02747-2300 Ch2.Instruction-Level Parallelism & Its Exploitation 2. Dynamic Scheduling ECE562/468 Advanced Computer Architecture Prof. Honggang Wang Slides based on the PowerPoint Presentations created by David Patterson as part of the Instructor Resources for the textbook by Hennessy & Patterson Updated by Honggang Wang.

2. Administrative Issues (03/04/2014) • Project proposal is due Thursday, March.13 • 5-10 mins project proposal presentation on March. 13 • Project proposal guideline can be found on my teaching website • Exam 1 review: March 25 • Exam 1: 9:30 – 10: 45 am, March 27, Open Book • My office hours: • T./TH. 11 am-12:30 pm, Fri. 1:00-2:00 pm www.faculty.umassd.edu/honggang.wang/teaching.html

3. Review of Last Lecture • ILP: Concepts and Challenges • Compiler techniques to increase ILP • Loop Unrolling • Branch Prediction • Static Branch Prediction • Dynamic Branch Prediction • Overcoming Data Hazards with Dynamic Scheduling

4. Outline • Dynamic Scheduling • Tomasulo Algorithm • Speculation • Speculative Tomasulo Example • Memory Aliases • Exceptions • Increasing instruction bandwidth • Register Renaming vs. Reorder Buffer • Value Prediction

5. Advantages of Dynamic Scheduling • Dynamic scheduling - hardware rearranges the instruction execution to reduce stalls while maintaining data flow and exception behavior • It handles cases when dependences unknown at compile time • it allows the processor to tolerate unpredictable delays such as cache misses, by executing other code while waiting for the miss to resolve • It allows code that compiled for one pipeline to run efficiently on a different pipeline • It simplifies the compiler • Hardware speculation, a technique with significant performance advantages, builds on dynamic scheduling

6. HW Schemes: Instruction Parallelism • Key idea: Allow instructions behind stall to proceedDIVD F0,F2,F4 ADDD F10,F0,F8SUBD F12,F8,F14 • Enables out-of-order execution and allows out-of-order completion(e.g., SUBD) • In a dynamically scheduled pipeline, all instructions still pass through issue stage in order (in-order issue) • Will distinguish when an instruction begins execution and when it completes execution; between 2 times, the instruction is in execution • Note: Dynamic execution creates WAR and WAW hazards and makes exceptions harder

7. Dynamic Scheduling Step 1 • Simple pipeline had 1 stage to check both structural and data hazards: Instruction Decode (ID), also called Instruction Issue • Split the ID pipe stage of simple 5-stage pipeline into 2 stages: • Issue—Decode instructions, check for structural hazards • Readoperands—Wait until no data hazards, then read operands

8. A Dynamic Algorithm: Tomasulo’s • For IBM 360/91 (before caches!) •  Long memory latency • Goal: High Performance without special compilers • Small number of floating point registers (4 in 360) prevented interesting compiler scheduling of operations • This led Tomasulo to try to figure out how to get more effective registers — renaming in hardware! • Why Study 1966 Computer? • The descendants of this have flourished! • Alpha 21264, Pentium 4, AMD Opteron, Power 5, …

9. Tomasulo Algorithm • Control & buffers distributed with Function Units (FU) • FU buffers called “reservation stations”; have pending operands • Registers in instructions replaced by values or pointers to reservation stations(RS); called registerrenaming; • Renaming avoids WAR, WAW hazards • More reservation stations than registers, so can do optimizations compilers can’t • Results to FU from RS, not through registers, over Common Data Bus that broadcasts results to all FUs • Avoids RAW hazards by executing an instruction only when its operands are available • Load and Stores treated as FUs with RSs as well

10. Tomasulo Organization FP Registers From Mem FP Op Queue Load Buffers Load1 Load2 Load3 Load4 Load5 Load6 Store Buffers Add1 Add2 Add3 Mult1 Mult2 Reservation Stations To Mem FP adders FP multipliers Common Data Bus (CDB)

11. Reservation Station Components Op: Operation to perform in the unit (e.g., + or –) Vj, Vk: Value of Source operands • Store buffers has V field, result to be stored Qj, Qk: Reservation stations producing source registers (value to be written) • Store buffers only have Qi for RS producing result Busy: Indicates reservation station or FU is busy Register resultstatus—Indicates which functional unit will write each register, if one exists. Blank when no pending instructions that will write that register.

12. Three Stages of Tomasulo Algorithm 1.Issue—get instruction from FP Op Queue If reservation station free (no structural hazard), control issues instr & sends operands (renames registers). 2.Execute—operate on operands (EX) When both operands ready then execute; if not ready, watch Common Data Bus for result 3.Writeresult—finish execution (WB) Write on Common Data Bus to all awaiting units; mark reservation station available • Common data bus: data + source (“come from” bus) • 64 bits of data + 4 bits of Functional Unit source address • Write if matches expected Functional Unit (produces result) • Does the broadcast • Example speed: 2 clocks for +,-; 10 for * ; 40 clks for /

13. Instruction stream 3 Load/Buffers FU count down 3 FP Adder R.S. 2 FP Mult R.S. Clock cycle counter Tomasulo Example

14. Tomasulo Example Cycle 1

15. Tomasulo Example Cycle 2 Note: Can have multiple loads outstanding

16. Tomasulo Example Cycle 3 • Note: registers names are removed (“renamed”) in Reservation Stations; MULT issued • Load1 completing; what is waiting for Load1?

17. Tomasulo Example Cycle 4 • Load2 completing; what is waiting for Load2?

18. Tomasulo Example Cycle 5 • Timer starts down for Add1, Mult1

19. Tomasulo Example Cycle 6 • Issue ADDD here despite name dependency on F6?

20. Tomasulo Example Cycle 7 • Add1 (SUBD) completing; what is waiting for it?

21. Tomasulo Example Cycle 8

22. Tomasulo Example Cycle 9

23. Tomasulo Example Cycle 10 • Add2 (ADDD) completing; what is waiting for it?

24. Tomasulo Example Cycle 11 • Write result of ADDD here? • All quick instructions complete in this cycle!

25. Tomasulo Example Cycle 12

26. Tomasulo Example Cycle 13

27. Tomasulo Example Cycle 14

28. Tomasulo Example Cycle 15 • Mult1 (MULTD) completing; what is waiting for it?

29. Tomasulo Example Cycle 16 • Just waiting for Mult2 (DIVD) to complete

30. Faster than light computation(skip a couple of cycles)

31. Tomasulo Example Cycle 55

32. Tomasulo Example Cycle 56 • Mult2 (DIVD) is completing; what is waiting for it?

33. Tomasulo Example Cycle 57 • Once again: In-order issue, out-of-order execution and out-of-order completion.

34. Why can Tomasulo overlap iterations of loops? • Reservation stations: renaming to larger set of registers + buffering source operands • Prevents registers as bottleneck • Avoids WAR hazards (by buffering old values of registers) and avoids WAW hazards • Allows loop unrolling in HW – “dynamic loop unrolling” (Register Renaming: Multiple iterations use different physical destinations for registers) • Not limited to basic blocks • Other perspective: Tomasulo building data flow dependency graph on the fly

35. Tomasulo’s scheme offers 2 major advantages • Distribution of the hazard detection logic • distributed reservation stations and the CDB • If multiple instructions waiting on single result, & each instruction has other operand, then instructions can be released simultaneously by broadcast on CDB • If a centralized register file were used, the units would have to read their results from the registers when register buses are available • Elimination of stalls for WAW and WAR hazards

36. Tomasulo Drawbacks • Complexity • delays of 360/91, MIPS 10000, Alpha 21264, IBM PPC 620 in CA:AQA 2/e, but not in silicon! • Performance limited by Common Data Bus • Each CDB must go to multiple functional units high capacitance, high wiring density • Number of functional units that can complete per cycle limited to one! • Multiple CDBs  more FU logic for parallel assoc stores • Non-precise interrupts! • We will address this later

37. Things To Do Next Topics • Project proposal is due Thursday, March.13 • 5-10 mins project proposal presentation on March. 13 • Check out the class website about • lecture notes • reading assignments • Submit your homework on March 6 Ch2.Dynamic Scheduling