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William Stallings
Computer Organization
and Architecture
8th Edition


Chapter 13
Reduced Instruction Set Computers
Major Advances in Computers(1)
• The family concept
  —IBM System/360 1964
  —DEC PDP-8
  —Separates architecture from implementation
• Microporgrammed control unit
  —Idea by Wilkes 1951
  —Produced by IBM S/360 1964
• Cache memory
  —IBM S/360 model 85 1969
Major Advances in Computers(2)
• Solid State RAM
  —(See memory notes)
• Microprocessors
  —Intel 4004 1971
• Pipelining
  —Introduces parallelism into fetch execute cycle
• Multiple processors
The Next Step - RISC
• Reduced Instruction Set Computer

• Key features
  —Large number of general purpose registers
  —or use of compiler technology to optimize
   register use
  —Limited and simple instruction set
  —Emphasis on optimising the instruction
   pipeline
Comparison of processors
Driving force for CISC
•   Software costs far exceed hardware costs
•   Increasingly complex high level languages
•   Semantic gap
•   Leads to:
    —Large instruction sets
    —More addressing modes
    —Hardware implementations of HLL statements
       – e.g. CASE (switch) on VAX
Intention of CISC
• Ease compiler writing
• Improve execution efficiency
  —Complex operations in microcode
• Support more complex HLLs
Execution Characteristics
• Operations performed
• Operands used
• Execution sequencing
• Studies have been done based on
  programs written in HLLs
• Dynamic studies are measured during the
  execution of the program
Operations
• Assignments
  —Movement of data
• Conditional statements (IF, LOOP)
  —Sequence control
• Procedure call-return is very time
  consuming
• Some HLL instruction lead to many
  machine code operations
Weighted Relative Dynamic Frequency of HLL
Operations [PATT82a]

                                  Machine-Instruction   Memory-Reference
                                      Weighted             Weighted
             Dynamic Occurrence


              Pascal         C     Pascal          C    Pascal         C



    ASSIGN     45%          38%     13%           13%    14%          15%



    LOOP       5%            3%     42%           32%    33%          26%



    CALL       15%          12%     31%           33%    44%          45%



    IF         29%          43%     11%           21%     7%          13%



    GOTO        —            3%      —             —      —            —



    OTHER      6%            1%     3%             1%     2%          1%
Operands
• Mainly local scalar variables
• Optimisation should concentrate on
  accessing local variables

                          Pascal   C     Average



       Integer Constant   16%      23%    20%



       Scalar Variable    58%      53%    55%



       Array/Structure    26%      24%    25%
Procedure Calls
• Very time consuming
• Depends on number of parameters passed
• Depends on level of nesting
• Most programs do not do a lot of calls
  followed by lots of returns
• Most variables are local
• (c.f. locality of reference)
Implications
• Best support is given by optimising most
  used and most time consuming features
• Large number of registers
  —Operand referencing
• Careful design of pipelines
  —Branch prediction etc.
• Simplified (reduced) instruction set
Large Register File
• Software solution
  —Require compiler to allocate registers
  —Allocate based on most used variables in a
   given time
  —Requires sophisticated program analysis
• Hardware solution
  —Have more registers
  —Thus more variables will be in registers
Registers for Local Variables
• Store local scalar variables in registers
• Reduces memory access
• Every procedure (function) call changes
  locality
• Parameters must be passed
• Results must be returned
• Variables from calling programs must be
  restored
Register Windows
•   Only few parameters
•   Limited range of depth of call
•   Use multiple small sets of registers
•   Calls switch to a different set of registers
•   Returns switch back to a previously used
    set of registers
Register Windows cont.
• Three areas within a register set
  —Parameter registers
  —Local registers
  —Temporary registers
  —Temporary registers from one set overlap
   parameter registers from the next
  —This allows parameter passing without moving
   data
Overlapping Register Windows
Circular Buffer diagram
Operation of Circular Buffer
• When a call is made, a current window
  pointer is moved to show the currently
  active register window
• If all windows are in use, an interrupt is
  generated and the oldest window (the one
  furthest back in the call nesting) is saved
  to memory
• A saved window pointer indicates where
  the next saved windows should restore to
Global Variables
• Allocated by the compiler to memory
  —Inefficient for frequently accessed variables
• Have a set of registers for global variables
Registers v Cache
                    Large Register File                                   Cache




    All local scalars                               Recently-used local scalars




    Individual variables                            Blocks of memory




    Compiler-assigned global variables              Recently-used global variables




    Save/Restore based on procedure nesting depth   Save/Restore based on cache replacement algorithm




    Register addressing                             Memory addressing
Referencing a Scalar -
Window Based Register File
Referencing a Scalar - Cache
Compiler Based Register Optimization
• Assume small number of registers (16-32)
• Optimizing use is up to compiler
• HLL programs have no explicit references
  to registers
  —usually - think about C - register int
• Assign symbolic or virtual register to each
  candidate variable
• Map (unlimited) symbolic registers to real
  registers
• Symbolic registers that do not overlap can
  share real registers
• If you run out of real registers some
  variables use memory
Graph Coloring
• Given a graph of nodes and edges
• Assign a color to each node
• Adjacent nodes have different colors
• Use minimum number of colors
• Nodes are symbolic registers
• Two registers that are live in the same
  program fragment are joined by an edge
• Try to color the graph with n colors, where
  n is the number of real registers
• Nodes that can not be colored are placed
  in memory
Graph Coloring Approach
Why CISC (1)?
• Compiler simplification?
  —Disputed…
  —Complex machine instructions harder to
   exploit
  —Optimization more difficult
• Smaller programs?
  —Program takes up less memory but…
  —Memory is now cheap
  —May not occupy less bits, just look shorter in
   symbolic form
     – More instructions require longer op-codes
     – Register references require fewer bits
Why CISC (2)?
• Faster programs?
  —Bias towards use of simpler instructions
  —More complex control unit
  —Microprogram control store larger
  —thus simple instructions take longer to execute


• It is far from clear that CISC is the
  appropriate solution
RISC Characteristics
•   One instruction per cycle
•   Register to register operations
•   Few, simple addressing modes
•   Few, simple instruction formats
•   Hardwired design (no microcode)
•   Fixed instruction format
•   More compile time/effort
RISC v CISC
• Not clear cut
• Many designs borrow from both
  philosophies
• e.g. PowerPC and Pentium II
RISC Pipelining
• Most instructions are register to register
• Two phases of execution
  —I: Instruction fetch
  —E: Execute
     – ALU operation with register input and output
• For load and store
  —I: Instruction fetch
  —E: Execute
     – Calculate memory address
  —D: Memory
     – Register to memory or memory to register operation
Effects of Pipelining
Optimization of Pipelining
• Delayed branch
  — Does not take effect until after execution of following
    instruction
  — This following instruction is the delay slot
• Delayed Load
  — Register to be target is locked by processor
  — Continue execution of instruction stream until register
    required
  — Idle until load complete
  — Re-arranging instructions can allow useful work whilst
    loading
• Loop Unrolling
  — Replicate body of loop a number of times
  — Iterate loop fewer times
  — Reduces loop overhead
  — Increases instruction parallelism
  — Improved register, data cache or TLB locality
Loop Unrolling Twice
Example
do i=2, n-1
  a[i] = a[i] + a[i-1] * a[i+l]
end do

Becomes

do i=2, n-2, 2
   a[i] = a[i] + a[i-1] * a[i+i]
   a[i+l] = a[i+l] + a[i] * a[i+2]
end do
if (mod(n-2,2) = i) then
   a[n-1] = a[n-1] + a[n-2] * a[n]
end if
Normal and Delayed Branch

       Address    Normal Branch   Delayed Branch     Optimized
                                                   Delayed Branch



        100      LOAD   X, rA     LOAD   X, rA     LOAD   X, rA



        101      ADD    1, rA     ADD    1, rA     JUMP   105



        102      JUMP   105       JUMP   106       ADD    1, rA



        103      ADD    rA, rB    NOOP             ADD    rA, rB



        104      SUB    rC, rB    ADD    rA, rB    SUB    rC, rB



        105      STORE rA, Z      SUB    rC, rB    STORE rA, Z



        106                       STORE rA, Z
Use of Delayed
Branch
Controversy
• Quantitative
  —compare program sizes and execution speeds
• Qualitative
  —examine issues of high level language support
   and use of VLSI real estate
• Problems
  —No pair of RISC and CISC that are directly
   comparable
  —No definitive set of test programs
  —Difficult to separate hardware effects from
   complier effects
  —Most comparisons done on “toy” rather than
   production machines
  —Most commercial devices are a mixture
Required Reading
• Stallings chapter 13
• Manufacturer web sites

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13 risc

  • 1. William Stallings Computer Organization and Architecture 8th Edition Chapter 13 Reduced Instruction Set Computers
  • 2. Major Advances in Computers(1) • The family concept —IBM System/360 1964 —DEC PDP-8 —Separates architecture from implementation • Microporgrammed control unit —Idea by Wilkes 1951 —Produced by IBM S/360 1964 • Cache memory —IBM S/360 model 85 1969
  • 3. Major Advances in Computers(2) • Solid State RAM —(See memory notes) • Microprocessors —Intel 4004 1971 • Pipelining —Introduces parallelism into fetch execute cycle • Multiple processors
  • 4. The Next Step - RISC • Reduced Instruction Set Computer • Key features —Large number of general purpose registers —or use of compiler technology to optimize register use —Limited and simple instruction set —Emphasis on optimising the instruction pipeline
  • 6. Driving force for CISC • Software costs far exceed hardware costs • Increasingly complex high level languages • Semantic gap • Leads to: —Large instruction sets —More addressing modes —Hardware implementations of HLL statements – e.g. CASE (switch) on VAX
  • 7. Intention of CISC • Ease compiler writing • Improve execution efficiency —Complex operations in microcode • Support more complex HLLs
  • 8. Execution Characteristics • Operations performed • Operands used • Execution sequencing • Studies have been done based on programs written in HLLs • Dynamic studies are measured during the execution of the program
  • 9. Operations • Assignments —Movement of data • Conditional statements (IF, LOOP) —Sequence control • Procedure call-return is very time consuming • Some HLL instruction lead to many machine code operations
  • 10. Weighted Relative Dynamic Frequency of HLL Operations [PATT82a] Machine-Instruction Memory-Reference Weighted Weighted Dynamic Occurrence Pascal C Pascal C Pascal C ASSIGN 45% 38% 13% 13% 14% 15% LOOP 5% 3% 42% 32% 33% 26% CALL 15% 12% 31% 33% 44% 45% IF 29% 43% 11% 21% 7% 13% GOTO — 3% — — — — OTHER 6% 1% 3% 1% 2% 1%
  • 11. Operands • Mainly local scalar variables • Optimisation should concentrate on accessing local variables Pascal C Average Integer Constant 16% 23% 20% Scalar Variable 58% 53% 55% Array/Structure 26% 24% 25%
  • 12. Procedure Calls • Very time consuming • Depends on number of parameters passed • Depends on level of nesting • Most programs do not do a lot of calls followed by lots of returns • Most variables are local • (c.f. locality of reference)
  • 13. Implications • Best support is given by optimising most used and most time consuming features • Large number of registers —Operand referencing • Careful design of pipelines —Branch prediction etc. • Simplified (reduced) instruction set
  • 14. Large Register File • Software solution —Require compiler to allocate registers —Allocate based on most used variables in a given time —Requires sophisticated program analysis • Hardware solution —Have more registers —Thus more variables will be in registers
  • 15. Registers for Local Variables • Store local scalar variables in registers • Reduces memory access • Every procedure (function) call changes locality • Parameters must be passed • Results must be returned • Variables from calling programs must be restored
  • 16. Register Windows • Only few parameters • Limited range of depth of call • Use multiple small sets of registers • Calls switch to a different set of registers • Returns switch back to a previously used set of registers
  • 17. Register Windows cont. • Three areas within a register set —Parameter registers —Local registers —Temporary registers —Temporary registers from one set overlap parameter registers from the next —This allows parameter passing without moving data
  • 20. Operation of Circular Buffer • When a call is made, a current window pointer is moved to show the currently active register window • If all windows are in use, an interrupt is generated and the oldest window (the one furthest back in the call nesting) is saved to memory • A saved window pointer indicates where the next saved windows should restore to
  • 21. Global Variables • Allocated by the compiler to memory —Inefficient for frequently accessed variables • Have a set of registers for global variables
  • 22. Registers v Cache Large Register File Cache All local scalars Recently-used local scalars Individual variables Blocks of memory Compiler-assigned global variables Recently-used global variables Save/Restore based on procedure nesting depth Save/Restore based on cache replacement algorithm Register addressing Memory addressing
  • 23. Referencing a Scalar - Window Based Register File
  • 25. Compiler Based Register Optimization • Assume small number of registers (16-32) • Optimizing use is up to compiler • HLL programs have no explicit references to registers —usually - think about C - register int • Assign symbolic or virtual register to each candidate variable • Map (unlimited) symbolic registers to real registers • Symbolic registers that do not overlap can share real registers • If you run out of real registers some variables use memory
  • 26. Graph Coloring • Given a graph of nodes and edges • Assign a color to each node • Adjacent nodes have different colors • Use minimum number of colors • Nodes are symbolic registers • Two registers that are live in the same program fragment are joined by an edge • Try to color the graph with n colors, where n is the number of real registers • Nodes that can not be colored are placed in memory
  • 28. Why CISC (1)? • Compiler simplification? —Disputed… —Complex machine instructions harder to exploit —Optimization more difficult • Smaller programs? —Program takes up less memory but… —Memory is now cheap —May not occupy less bits, just look shorter in symbolic form – More instructions require longer op-codes – Register references require fewer bits
  • 29. Why CISC (2)? • Faster programs? —Bias towards use of simpler instructions —More complex control unit —Microprogram control store larger —thus simple instructions take longer to execute • It is far from clear that CISC is the appropriate solution
  • 30. RISC Characteristics • One instruction per cycle • Register to register operations • Few, simple addressing modes • Few, simple instruction formats • Hardwired design (no microcode) • Fixed instruction format • More compile time/effort
  • 31. RISC v CISC • Not clear cut • Many designs borrow from both philosophies • e.g. PowerPC and Pentium II
  • 32. RISC Pipelining • Most instructions are register to register • Two phases of execution —I: Instruction fetch —E: Execute – ALU operation with register input and output • For load and store —I: Instruction fetch —E: Execute – Calculate memory address —D: Memory – Register to memory or memory to register operation
  • 34. Optimization of Pipelining • Delayed branch — Does not take effect until after execution of following instruction — This following instruction is the delay slot • Delayed Load — Register to be target is locked by processor — Continue execution of instruction stream until register required — Idle until load complete — Re-arranging instructions can allow useful work whilst loading • Loop Unrolling — Replicate body of loop a number of times — Iterate loop fewer times — Reduces loop overhead — Increases instruction parallelism — Improved register, data cache or TLB locality
  • 35. Loop Unrolling Twice Example do i=2, n-1 a[i] = a[i] + a[i-1] * a[i+l] end do Becomes do i=2, n-2, 2 a[i] = a[i] + a[i-1] * a[i+i] a[i+l] = a[i+l] + a[i] * a[i+2] end do if (mod(n-2,2) = i) then a[n-1] = a[n-1] + a[n-2] * a[n] end if
  • 36. Normal and Delayed Branch Address Normal Branch Delayed Branch Optimized Delayed Branch 100 LOAD X, rA LOAD X, rA LOAD X, rA 101 ADD 1, rA ADD 1, rA JUMP 105 102 JUMP 105 JUMP 106 ADD 1, rA 103 ADD rA, rB NOOP ADD rA, rB 104 SUB rC, rB ADD rA, rB SUB rC, rB 105 STORE rA, Z SUB rC, rB STORE rA, Z 106 STORE rA, Z
  • 38. Controversy • Quantitative —compare program sizes and execution speeds • Qualitative —examine issues of high level language support and use of VLSI real estate • Problems —No pair of RISC and CISC that are directly comparable —No definitive set of test programs —Difficult to separate hardware effects from complier effects —Most comparisons done on “toy” rather than production machines —Most commercial devices are a mixture
  • 39. Required Reading • Stallings chapter 13 • Manufacturer web sites