Chapter 13 Reduced Instruction Set Computers (RISC)

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Presentation transcript:

Chapter 13 Reduced Instruction Set Computers (RISC) CISC – Complex Instruction Set Computer RISC – Reduced Instruction Set Computer

Some Major Advances in Computers in 50 years VLSI The family concept Microprogrammed control unit Cache memory MiniComputers Microprocessors Pipelining PC’s Multiple processors RISC processors Hand helds

Reduced Instruction Set Computer Key features 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 & memory management

Comparison of processors

Software costs far exceed hardware costs Driving force for CISC Software costs far exceed hardware costs Increasingly complex high level languages A “Semantic” gap between HHL & ML This Leads to: Large instruction sets More addressing modes Hardware implementations of HLL statements e.g. CASE (switch) on VAX (long, complex structure)

Improve execution efficiency Intention of CISC Ease compiler writing Improve execution efficiency Complex operations in microcode Support more complex HLLs

Execution Characteristics Studied What was studied? Operations performed Operands used Execution sequencing How was it Studied? Studies was done based on programs written in HLLs Dynamic studies measured during the execution of the program

Observations? Operations Assignments Conditional statements (IF, LOOP) Movement of data Conditional statements (IF, LOOP) Sequence control Observations? Procedure call-return is very time consuming Some HLL instructions lead to very many machine code operations

Weighted Relative Dynamic Frequency of HLL Operations [Patterson] Dynamic Occurrence Machine-Instruction Weighted Memory-Reference Weighted   Pascal C ASSIGN 45% 38% 13% 14% 15% LOOP 5% 3% 42% 32% 33% 26% CALL 12% 31% 44% IF 29% 43% 11% 21% 7% GOTO — OTHER 6% 1% 2%

Predominately local scalar variables Implications? Operands Observations? Predominately local scalar variables Implications? Optimization 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 Observations? Context switching is quite 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 used are local

Implications  Characterize RISC Best support is provided by optimising: most utilized features and most time consuming features Conclusions: Large number of registers Used for operand referencing Careful design of pipelines Address branching - Branch prediction etc. Simplified instruction set Reduced length Reduced number

Register File Software solution Hardware 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

Using Registers for Local Variables Store local scalar variables in registers Reduces memory accesses Every procedure (function) call changes locality Parameters must be passed Partial context switch Results must be returned Variables from calling program must be restored Partial Context switch

Using “Register Windows” Observations: Typically only few local & Pass parameters Typically limited range of depth of calls Implications: Use multiple small sets of registers Calls switch to a different set of registers Returns switch back to a previously used set of registers Partition register set

Using “Register Windows” cont. Partition register set into: Local registers Parameter registers (Passed Parameters) Temporary registers (Passing Parameters) Then: Temporary registers from one set overlap parameter registers from the next  This provides parameter passing without moving data (just move one pointer)

Overlapping Register Windows Picture of Calls & Returns:

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 be restored

Global Variables How should we accommodate Global Variables? Allocate by the compiler to memory Have a static set of registers for global variables Put them in cache

Registers v Cache – which is better? 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 Basis: Assuming relatively small number of registers (16-32) Optimizing the use is up to compiler HLL programs have no explicit references to registers Process: Assign symbolic or virtual register to each candidate variable Map (unlimited) symbolic registers to (limited) 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 Algorithm for Reg Assign Given: A graph of nodes and edges Nodes are symbolic registers Two symbolic registers that are live in the same program fragment are joined by an edge Then: Assign a color to each node Adjacent nodes must have different colors Assign minimum number of colors And then: 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 Algorithm Example

The debate: Why CISC (1 of 2)? Compiler simplification? Dispute… - Complex machine instructions are harder to exploit - Optimization actually may be more difficult Smaller programs? (Memory is now cheap) Programs may take up less instructions, but… May not occupy less memory, just look shorter in symbolic form More instructions require longer op-codes, more memory references Register references require fewer bits

The Debate: Why CISC (2 of 2)? Faster programs? More complex control unit Microprogram control store larger  Thus instructions take longer to execute Bias towards use of simpler instructions ? It is far from clear that CISC is the appropriate solution

Early RISC Computers MIPS – Microprocessor without Interlocked Pipeline Stages Stanford (John Hennessy) MIPS Technology SPARC – Scalable Processor Architecture Berkeley (David Patterson) Sun Microsystems 801 – IBM Research (George Radin)

Concentrating on RISC: Major Characteristics: One instruction per cycle Register to register operations Few, simple addressing modes Few, simple instruction formats Also: Hardwired design (no microcode) Fixed instruction format But: More compile time/effort

Breadth of RISC Characteristics

Characteristics of Example Processors

Memory to memory vs Register to memory Operations Lab Project 1

Controversy: CISC vs RISC Challenges of comparison There are no pair of RISC and CISC that are directly comparable There are no definitive set of test programs It is difficult to separate hardware effects from complier effects Most comparisons are done on “toy” rather than production machines Most commercial machines are a mixture

Controversy: RISC v CISC Not clear cut Today’s designs borrow from both philosophies

RISC Pipelining basics Two phases of execution for register based instructions I: Instruction fetch E: Execute ALU operation with register input and output For load and store there need to be three Calculate memory address D: Memory Register to memory or memory to register operation

Effects of RISC Pipelining (Allows 2 memory accesses per stage) (E1 register read, E2 execute & register write Particularly beneficial if E phase can be longer)

Optimization of RISC Pipelining Delayed branch Leverages branch that does not take effect until after execution of following instruction This, following instruction becomes the delay slot

Normal vs Delayed Branch

Example of Delayed Branch (cleaver!) What is wrong with this example? Why is there a Write back

More Options for RISC Architectures RISC Pipelining Superpipelined – more fine grained pipeline (more stages in pipeline) Superscaler – replicates stages of pipeline (multiple pipelines)

MIPS 4000 RISC Machine 64 bit architecture (4 Gig address space) (1 Terabyte of file mapping) Partitioned into CPU & MMU 32 registers (R0=0), but 128K Cache – ½ Instructions, ½ Data One 32 bit word for each instruction (94 Instructions) All operations are register to register No condition codes! Flags are stored in general registers for explicit use – simplifies branch optimization Only on load/Store Format – Base, Offset extended addressing synthesized with multiple instructions Uses branch prediction Especially designed for Embedded computing Has multiple FPU’s – FP likely stalls pipeline

MIPS 4000 RISC Machine See MIPS instructions - page 485 See Formats – page 486