Instruction set

An instruction set, or instruction set architecture (ISA), is the part of the computer architecture related to programming, including the native data types, instructions, registers, addressing modes, memory architecture, interrupt and exception handling, and external I/O. An ISA includes a specification of the set of opcodes (machine language), and the native commands implemented by a particular processor.

Instruction set architecture is distinguished from the microarchitecture, which is the set of processor design techniques used to implement the instruction set. Computers with different microarchitectures can share a common instruction set. For example, the Intel Pentium and the AMD Athlon implement nearly identical versions of the x86 instruction set, but have radically different internal designs.

This concept can be extended to unique ISAs like TIMI (Technology-Independent Machine Interface) present in the IBM System/38 and IBM AS/400. TIMI is an ISA that is implemented by low-level software translating TIMI code into "native" machine code, and functionally resembles what is now referred to as a virtual machine. It was designed to increase the longevity of the platform and applications written for it, allowing the entire platform to be moved to very different hardware without having to modify any software except that which translates TIMI into native machine code, and the code that implements services used by the resulting native code. This allowed IBM to move the AS/400 platform from an older CISC architecture to the newer POWER architecture without having to rewrite or recompile any parts of the OS or software associated with it other than the aforementioned low-level code. Some virtual machines that support bytecode for Smalltalk, the Java virtual machine, and Microsoft's Common Language Runtime virtual machine as their ISA implement it by translating the bytecode for commonly-used code paths into native machine code, and executing less-frequently-used code paths by interpretation; Transmeta implemented the x86 instruction set atop VLIW processors in the same fashion.

Contents

Machine language

Machine language is built up from discrete statements or instructions. On the processing architecture, a given instruction may specify:

More complex operations are built up by combining these simple instructions, which (in a von Neumann architecture) are executed sequentially, or as otherwise directed by control flow instructions.

Some operations available in most instruction sets include:

Some computers include "complex" instructions in their instruction set. A single "complex" instruction does something that may take many instructions on other computers. Such instructions are typified by instructions that take multiple steps, control multiple functional units, or otherwise appear on a larger scale than the bulk of simple instructions implemented by the given processor. Some examples of "complex" instructions include:

A complex instruction type that has become particularly popular recently is the SIMD or Single-Instruction Stream Multiple-Data Stream operation or vector instruction, an operation that performs the same arithmetic operation on multiple pieces of data at the same time. SIMD have the ability of manipulating large vectors and matrices in minimal time. SIMD instructions allow easy parallelization of algorithms commonly involved in sound, image, and video processing. Various SIMD implementations have been brought to market under trade names such as MMX, 3DNow! and AltiVec.

The design of instruction sets is a complex issue. There were two stages in history for the microprocessor. The first was the CISC (Complex Instruction Set Computer) which had many different instructions. In the 1970s, however, places like IBM did research and found that many instructions in the set could be eliminated. The result was the RISC (Reduced Instruction Set Computer), an architecture which uses a smaller set of instructions. A simpler instruction set may offer the potential for higher speeds, reduced processor size, and reduced power consumption. However, a more complex set may optimize common operations, improve memory/cache efficiency, or simplify programming.

Instruction set implementation

Any given instruction set can be implemented in a variety of ways. All ways of implementing an instruction set give the same programming model, and they all are able to run the same binary executables. The various ways of implementing an instruction set give different tradeoffs between cost, performance, power consumption, size, etc.

When designing microarchitectures, engineers use blocks of "hard-wired" electronic circuitry (often designed separately) such as adders, multiplexers, counters, registers, ALUs etc. Some kind of register transfer language is then often used to describe the decoding and sequencing of each instruction of an ISA using this physical microarchitecture. There are two basic ways to build a control unit to implement this description (although many designs use middle ways or compromises):

  1. Early computer designs and some of the simpler RISC computers "hard-wired" the complete instruction set decoding and sequencing (just like the rest of the microarchitecture).
  2. Other designs employ microcode routines and/or tables to do this—typically as on chip ROMs and/or PLAs (although separate RAMs have been used historically).

There are also some new CPU designs which compile the instruction set to a writable RAM or FLASH inside the CPU (such as the Rekursiv processor and the Imsys Cjip)[1], or an FPGA (reconfigurable computing). The Western Digital MCP-1600 is an older example, using a dedicated, separate ROM for microcode.

An ISA can also be emulated in software by an interpreter. Naturally, due to the interpretation overhead, this is slower than directly running programs on the emulated hardware, unless the hardware running the emulator is an order of magnitude faster. Today, it is common practice for vendors of new ISAs or microarchitectures to make software emulators available to software developers before the hardware implementation is ready.

Often the details of the implementation have a strong influence on the particular instructions selected for the instruction set. For example, many implementations of the instruction pipeline only allow a single memory load or memory store per instruction, leading to a load-store architecture (RISC). For another example, some early ways of implementing the instruction pipeline led to a delay slot.

The demands of high-speed digital signal processing have pushed in the opposite direction—forcing instructions to be implemented in a particular way. For example, in order to perform digital filters fast enough, the MAC instruction in a typical digital signal processor (DSP) must be implemented using a kind of Harvard architecture that can fetch an instruction and two data words simultaneously, and it requires a single-cycle multiply-accumulate multiplier.

Instruction set design

Some instruction set designers reserve one or more opcodes for some kind of software interrupt. For example, MOS Technology 6502 uses 00H, Zilog Z80 uses the eight codes C7,CF,D7,DF,E7,EF,F7,FFH[2] while Motorola 68000 use codes in the range A000..AFFFH.

Fast virtual machines are much easier to implement if an instruction set meets the Popek and Goldberg virtualization requirements.

The NOP slide used in Immunity Aware Programming is much easier to implement if the "unprogrammed" state of the memory is interpreted as a NOP.

On systems with multiple processors, non-blocking synchronization algorithms are much easier to implement if the instruction set includes support for something like "fetch-and-increment" or "load linked/store conditional (LL/SC)" or "atomic compare and swap".

Code density

In early computers, program memory was expensive, so minimizing the size of a program to make sure it would fit in the limited memory was often central. Thus the combined size of all the instructions needed to perform a particular task, the code density, was an important characteristic of any instruction set. Computers with high code density also often had (and have still) complex instructions for procedure entry, parameterized returns, loops etc. (therefore retroactively named Complex Instruction Set Computers, CISC). However, more typical, or frequent, "CISC" instructions merely combine a basic ALU operation, such as "add", with the access of one or more operands in memory (using addressing modes such as direct, indirect, indexed etc.). Certain architectures may allow two or three operands (including the result) directly in memory or may be able to perform functions such as automatic pointer increment etc. Software-implemented instruction sets may have even more complex and powerful instructions.

Reduced instruction-set computers, RISC, were first widely implemented during a period of rapidly-growing memory subsystems and sacrifice code density in order to simplify implementation circuitry and thereby try to increase performance via higher clock frequencies and more registers. RISC instructions typically perform only a single operation, such as an "add" of registers or a "load" from a memory location into a register; they also normally use a fixed instruction width, whereas a typical CISC instruction set has many instructions shorter than this fixed length. Fixed-width instructions are less complicated to handle than variable-width instructions for several reasons (not having to check whether an instruction straddles a cache line or virtual memory page boundary[3] for instance), and are therefore somewhat easier to optimize for speed. However, as RISC computers normally require more and often longer instructions to implement a given task, they inherently make less optimal use of bus bandwidth and cache memories.

Minimal instruction set computers (MISC) are a form of stack machine, where there are few separate instructions (16-64), so that multiple instructions can be fit into a single machine word. These type of cores often take little silicon to implement, so they can be easily realized in an FPGA or in a multi-core form. Code density is similar to RISC; the increased instruction density is offset by requiring more of the primitive instructions to do a task.

There has been research into executable compression as a mechanism for improving code density. The mathematics of Kolmogorov complexity describes the challenges and limits of this.

Number of operands

Instruction sets may be categorized by the maximum number of operands explicitly specified in instructions.

(In the examples that follow, a, b, and c are (direct or calculated) addresses referring to memory cells, while reg1 and so on refer to machine registers.)

Each instruction specifies some number of operands (registers, memory locations, or immediate values) explicitly. Some instructions give one or both operands implicitly, such as by being stored on top of the stack or in an implicit register. When some of the operands are given implicitly, the number of specified operands in an instruction is smaller than the arity of the operation. When a "destination operand" explicitly specifies the destination, the number of operand specifiers in an instruction is larger than the arity of the operation. Some instruction sets have different numbers of operands for different instructions.

List of ISAs

This list is far from comprehensive as old architectures are developed and new ones invented. There are many commercially available microprocessors and microcontrollers implementing ISAs. Customized ISAs are also quite common in some applications, e.g. ASIC, FPGA, and reconfigurable computing.

ISAs implemented in hardware

ISAs commonly implemented in software with hardware incarnations

ISAs only implemented in software

ISAs never implemented in hardware

See also

Categories of ISA

Applications where specialized instruction sets are used

Device types that implement some ISA

Others

References

  1. http://cpushack.net/CPU/cpu7.html
  2. Ganssle, Jack. "Proactive Debugging". Published February 26, 2001.
  3. 3.0 3.1 The evolution of RISC technology at IBM by John Cocke – IBM Journal of R&D, Volume 44, Numbers 1/2, p.48 (2000)
  4. http://repo.or.cz/w/fpgammix.git/blob_plain/HEAD:/doc/README

External links