Ch2. Instruction-Level Parallelism & Its Exploitation 2. Dynamic Scheduling ECE562/468 Advanced Computer Architecture Prof. Honggang Wang ECE Department.

Slides:



Advertisements
Similar presentations
Hardware-Based Speculation. Exploiting More ILP Branch prediction reduces stalls but may not be sufficient to generate the desired amount of ILP One way.
Advertisements

Lec18.1 Step by step for Dynamic Scheduling by reorder buffer Copyright by John Kubiatowicz (http.cs.berkeley.edu/~kubitron)
A scheme to overcome data hazards
Computer Organization and Architecture (AT70.01) Comp. Sc. and Inf. Mgmt. Asian Institute of Technology Instructor: Dr. Sumanta Guha Slide Sources: Based.
COMP25212 Advanced Pipelining Out of Order Processors.
CSE 502 Graduate Computer Architecture Lec 11 – More Instruction Level Parallelism Via Speculation Larry Wittie Computer Science, StonyBrook University.
Computer Architecture Lec 8 – Instruction Level Parallelism.
Copyright 2001 UCB & Morgan Kaufmann ECE668.1 Adapted from Patterson, Katz and Kubiatowicz © UCB Csaba Andras Moritz UNIVERSITY OF MASSACHUSETTS Dept.
Spring 2003CSE P5481 Reorder Buffer Implementation (Pentium Pro) Hardware data structures retirement register file (RRF) (~ IBM 360/91 physical registers)
Tomasulo With Reorder buffer:
CS136, Advanced Architecture Speculation. CS136 2 Outline Speculation Speculative Tomasulo Example Memory Aliases Exceptions VLIW Increasing instruction.
1 COMP 206: Computer Architecture and Implementation Montek Singh Mon., Oct. 14, 2002 Topic: Instruction-Level Parallelism (Multiple-Issue, Speculation)
CS 211: Computer Architecture Lecture 5 Instruction Level Parallelism and Its Dynamic Exploitation Instructor: M. Lancaster Corresponding to Hennessey.
CPE 731 Advanced Computer Architecture ILP: Part IV – Speculative Execution Dr. Gheith Abandah Adapted from the slides of Prof. David Patterson, University.
DAP Spr.‘98 ©UCB 1 Lecture 6: ILP Techniques Contd. Laxmi N. Bhuyan CS 162 Spring 2003.
CSE 502 Graduate Computer Architecture Lec – More Instruction Level Parallelism Via Speculation Larry Wittie Computer Science, StonyBrook University.
1 COMP 740: Computer Architecture and Implementation Montek Singh Tue, Mar 17, 2009 Topic: Instruction-Level Parallelism (Multiple-Issue, Speculation)
CPSC614 Lec 5.1 Instruction Level Parallelism and Dynamic Execution #4: Based on lectures by Prof. David A. Patterson E. J. Kim.
1 Zvika Guz Slides modified from Prof. Dave Patterson, Prof. John Kubiatowicz, and Prof. Nancy Warter-Perez Out Of Order Execution.
Review of CS 203A Laxmi Narayan Bhuyan Lecture2.
1 IBM System 360. Common architecture for a set of machines. Robert Tomasulo worked on a high-end machine, the Model 91 (1967), on which they implemented.
Ch2. Instruction-Level Parallelism & Its Exploitation 2. Dynamic Scheduling ECE562/468 Advanced Computer Architecture Prof. Honggang Wang ECE Department.
1 Overcoming Control Hazards with Dynamic Scheduling & Speculation.
1 Chapter 2: ILP and Its Exploitation Review simple static pipeline ILP Overview Dynamic branch prediction Dynamic scheduling, out-of-order execution Hardware-based.
Chapter 3 Instruction Level Parallelism 2 Dr. Eng. Amr T. Abdel-Hamid Elect 707 Spring 2014 Computer Applications Text book slides: Computer Architec ture:
CSCE 614 Fall Hardware-Based Speculation As more instruction-level parallelism is exploited, maintaining control dependences becomes an increasing.
Professor Nigel Topham Director, Institute for Computing Systems Architecture School of Informatics Edinburgh University Informatics 3 Computer Architecture.
2/24; 3/1,3/11 (quiz was 2/22, QuizAns 3/8) CSE502-S11, Lec ILP 1 Tomasulo Organization FP adders Add1 Add2 Add3 FP multipliers Mult1 Mult2 From.
1 Lecture 7: Speculative Execution and Recovery Branch prediction and speculative execution, precise interrupt, reorder buffer.
Anshul Kumar, CSE IITD CSL718 : Superscalar Processors Speculative Execution 2nd Feb, 2006.
EECS 252 Graduate Computer Architecture Lec 8 – Instruction Level Parallelism David Patterson Electrical Engineering and Computer Sciences University of.
04/03/2016 slide 1 Dynamic instruction scheduling Key idea: allow subsequent independent instructions to proceed DIVDF0,F2,F4; takes long time ADDDF10,F0,F8;
CS 5513 Computer Architecture Lecture 6 – Instruction Level Parallelism continued.
CS203 – Advanced Computer Architecture ILP and Speculation.
IBM System 360. Common architecture for a set of machines
/ Computer Architecture and Design
/ Computer Architecture and Design
CPE 731 Advanced Computer Architecture ILP: Part V – Multiple Issue
COMP 740: Computer Architecture and Implementation
Out of Order Processors
Dynamic Scheduling and Speculation
Step by step for Tomasulo Scheme
Tomasulo Loop Example Loop: LD F0 0 R1 MULTD F4 F0 F2 SD F4 0 R1
CS203 – Advanced Computer Architecture
CS5100 Advanced Computer Architecture Hardware-Based Speculation
Lecture 12 Reorder Buffers
CPSC 614 Computer Architecture Lec 5 – Instruction Level Parallelism
CSCE 430/830 Computer Architecture Advanced HW Approaches: Speculation
David Patterson Electrical Engineering and Computer Sciences
Tomasulo With Reorder buffer:
11/14/2018 CPE 631 Lecture 10: Instruction Level Parallelism and Its Dynamic Exploitation Aleksandar Milenković, Electrical and Computer.
CMSC 611: Advanced Computer Architecture
A Dynamic Algorithm: Tomasulo’s
Out of Order Processors
Lecture 8: ILP and Speculation Contd. Chapter 2, Sections 2. 6, 2
CS252 Graduate Computer Architecture Lecture 7 Dynamic Scheduling 2: Precise Interrupts February 9th, 2010 John Kubiatowicz Electrical Engineering.
CS 704 Advanced Computer Architecture
Adapted from the slides of Prof
Lecture 7: Dynamic Scheduling with Tomasulo Algorithm (Section 2.4)
John Kubiatowicz Electrical Engineering and Computer Sciences
Larry Wittie Computer Science, StonyBrook University and ~lw
CC423: Advanced Computer Architecture ILP: Part V – Multiple Issue
Tomasulo Organization
CPSC 614 Computer Architecture Lec 5 – Instruction Level Parallelism
Adapted from the slides of Prof
Chapter 3: ILP and Its Exploitation
September 20, 2000 Prof. John Kubiatowicz
Lecture 7 Dynamic Scheduling
Overcoming Control Hazards with Dynamic Scheduling & Speculation
Presentation transcript:

Ch2. Instruction-Level Parallelism & Its Exploitation 2. Dynamic Scheduling ECE562/468 Advanced Computer Architecture Prof. Honggang Wang ECE Department University of Massachusetts Dartmouth 285 Old Westport Rd. North Dartmouth, MA 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 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

3 Outline Dynamic Scheduling –Tomasulo Algorithm Speculation –Speculative Tomasulo Exam ple Memory Aliases Exceptions Increasing instruction bandwidth Register Renaming vs. Reorder Buffer Value Prediction

4 Speculation to greater ILP Greater ILP: Overcome control dependence by hardware speculating on outcome of branches and executing program as if guesses were correct –Speculation  fetch, issue, and execute instructions as if branch predictions were always correct –Dynamic scheduling  only fetches and issues instructions Essentially a data flow execution model: Operations execute as soon as their operands are available

5 Speculation to greater ILP 3 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

6 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

7 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 architectured registers like RS

8 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

9 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 Reorder Buffer FP Op Queue FP Adder Res Stations FP Regs Commit path

10 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”)

11 Tomasulo With Reorder buffer: To Memory FP adders FP multipliers Reservation Stations FP Op Queue ROB7 ROB6 ROB5 ROB4 ROB3 ROB2 ROB1 F0 LD F0,10(R2) N N Done? Dest Oldest Newest from Memory 1 10+R2 Dest Reorder Buffer Registers

12 2 ADDD R(F4),ROB1 Tomasulo With Reorder buffer: To Memory FP adders FP multipliers Reservation Stations FP Op Queue ROB7 ROB6 ROB5 ROB4 ROB3 ROB2 ROB1 F10 F0 ADDD F10,F4,F0 LD F0,10(R2) N N N N Done? Dest Oldest Newest from Memory 1 10+R2 Dest Reorder Buffer Registers

13 3 DIVD ROB2,R(F6) 2 ADDD R(F4),ROB1 Tomasulo With Reorder buffer: To Memory FP adders FP multipliers Reservation Stations FP Op Queue ROB7 ROB6 ROB5 ROB4 ROB3 ROB2 ROB1 F2 F10 F0 DIVD F2,F10,F6 ADDD F10,F4,F0 LD F0,10(R2) N N N N N N Done? Dest Oldest Newest from Memory 1 10+R2 Dest Reorder Buffer Registers

14 3 DIVD ROB2,R(F6) 2 ADDD R(F4),ROB1 6 ADDD ROB5, R(F6) Tomasulo With Reorder buffer: To Memory FP adders FP multipliers Reservation Stations FP Op Queue ROB7 ROB6 ROB5 ROB4 ROB3 ROB2 ROB1 F0 ADDD F0,F4,F6 N N F4 LD F4,0(R3) N N -- BNE F2, N N F2 F10 F0 DIVD F2,F10,F6 ADDD F10,F4,F0 LD F0,10(R2) N N N N N N Done? Dest Oldest Newest from Memory 1 10+R2 Dest Reorder Buffer Registers 5 0+R3

15 3 DIVD ROB2,R(F6) 2 ADDD R(F4),ROB1 6 ADDD ROB5, R(F6) Tomasulo With Reorder buffer: To Memory FP adders FP multipliers Reservation Stations FP Op Queue ROB7 ROB6 ROB5 ROB4 ROB3 ROB2 ROB1 -- F0 ROB5 ST 0(R3),F4 ADDD F0,F4,F6 N N N N F4 LD F4,0(R3) N N -- BNE F2, N N F2 F10 F0 DIVD F2,F10,F6 ADDD F10,F4,F0 LD F0,10(R2) N N N N N N Done? Dest Oldest Newest from Memory Dest Reorder Buffer Registers 1 10+R2 5 0+R3

16 3 DIVD ROB2,R(F6) Tomasulo With Reorder buffer: To Memory FP adders FP multipliers Reservation Stations FP Op Queue ROB7 ROB6 ROB5 ROB4 ROB3 ROB2 ROB1 -- F0 M[10] ST 0(R3),F4 ADDD F0,F4,F6 Y Y N N F4 M[10] LD F4,0(R3) Y Y -- BNE F2, N N F2 F10 F0 DIVD F2,F10,F6 ADDD F10,F4,F0 LD F0,10(R2) N N N N N N Done? Dest Oldest Newest from Memory 1 10+R2 Dest Reorder Buffer Registers 2 ADDD R(F4),ROB1 6 ADDD M[10],R(F6)

17 3 DIVD ROB2,R(F6) 2 ADDD R(F4),ROB1 Tomasulo With Reorder buffer: To Memory FP adders FP multipliers Reservation Stations FP Op Queue ROB7 ROB6 ROB5 ROB4 ROB3 ROB2 ROB1 -- F0 M[10] ST 0(R3),F4 ADDD F0,F4,F6 Y Y Ex F4 M[10] LD F4,0(R3) Y Y -- BNE F2, N N F2 F10 F0 DIVD F2,F10,F6 ADDD F10,F4,F0 LD F0,10(R2) N N N N N N Done? Dest Oldest Newest from Memory 1 10+R2 Dest Reorder Buffer Registers

18 -- F0 M[10] ST 0(R3),F4 ADDD F0,F4,F6 Y Y Ex F4 M[10] LD F4,0(R3) Y Y -- BNE F2, N N 3 DIVD ROB2,R(F6) 2 ADDD R(F4),ROB1 Tomasulo With Reorder buffer: To Memory FP adders FP multipliers Reservation Stations FP Op Queue ROB7 ROB6 ROB5 ROB4 ROB3 ROB2 ROB1 F2 F10 F0 DIVD F2,F10,F6 ADDD F10,F4,F0 LD F0,10(R2) N N N N N N Done? Dest Oldest Newest from Memory 1 10+R2 Dest Reorder Buffer Registers What about memory hazards???

19 Outline Dynamic Scheduling –Tomasulo Algorithm Speculation –Speculative Tomasulo Exam ple Memory Aliases Exceptions Increasing instruction bandwidth Register Renaming vs. Reorder Buffer Value Prediction

20 Things To Do Check out the class website about –lecture notes –reading assignments Next Topics Ch2. Dynamic Scheduling Memory Aliases Exceptions Increasing instruction bandwidth Register Renaming vs. Reorder Buffer Value Prediction