Download to read offline
![Weighted Relative Dynamic Frequency of HLL
Operations [PATT82a]
Dynamic Occurrence
Machine-Instruction
Weighted
Memory-Reference
Weighted
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%](https://image.slidesharecdn.com/risc-230821163504-3fd8bd03/85/RISC-ppt-10-320.jpg)
![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](https://image.slidesharecdn.com/risc-230821163504-3fd8bd03/85/RISC-ppt-35-320.jpg)
![Health_Hazards_in_CELLPHONE_USAGE[1]-2[1]-1.pptx](https://cdn.slidesharecdn.com/ss_thumbnails/healthhazardsincellphoneusage1-21-1-241006122505-0e8ef473-thumbnail.jpg?width=640&height=640&fit=bounds)
RISC.ppt
- 1. William Stallings Computer Organization andArchitecture 8th Edition Chapter 13 Reduced Instruction Set Computers
- 2. Major Advances inComputers(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 inComputers(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
- 5.
- 6. Driving force forCISC • 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 • Operationsperformed • 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 ofdata • 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 DynamicFrequency of HLL Operations [PATT82a] Dynamic Occurrence Machine-Instruction Weighted Memory-Reference Weighted 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 localscalar 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 • Verytime 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 supportis 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 LocalVariables • 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 • Onlyfew 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
- 18.
- 19.
- 20. Operation of CircularBuffer • 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 • Allocatedby the compiler to memory —Inefficient for frequently accessed variables • Have a set of registers for global variables
- 22. Registers v Cache LargeRegister 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
- 24. Referencing a Scalar- Cache
- 25. Compiler Based RegisterOptimization • 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 • Givena 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
- 27.
- 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 • Oneinstruction 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 • Mostinstructions 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
- 33.
- 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 doi=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 DelayedBranch 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
- 37.
- 38. Controversy • Quantitative —compare programsizes 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 • Stallingschapter 13 • Manufacturer web sites