P-code machine

Print Print
Reading time 12:11

In computer programming, a p-code machine (portable code machine[1]) is a virtual machine designed to execute p-code (the assembly language or machine code of a hypothetical central processing unit (CPU)). This term is applied both generically to all such machines (such as the Java virtual machine (JVM) and MATLAB precompiled code), and to specific implementations, the most famous being the p-Machine of the Pascal-P system, particularly the UCSD Pascal implementation, among whose developers, the p in p-code was construed to mean pseudo more often than portable, thus pseudo-code meaning instructions for a pseudo-machine.

Although the concept was first implemented circa 1966 (as O-code for the Basic Combined Programming Language (BCPL) and P code for the language Euler),[2] the term p-code first appeared in the early 1970s. Two early compilers generating p-code were the Pascal-P compiler in 1973, by Kesav V. Nori, Urs Ammann, Kathleen Jensen, Hans-Heinrich Nägeli, and Christian Jacobi,[3] and the Pascal-S compiler in 1975, by Niklaus Wirth.

Programs that have been translated to p-code can either be interpreted by a software program that emulates the behavior of the hypothetical CPU, or translated into the machine code of the CPU on which the program is to run and then executed. If there is sufficient commercial interest, a hardware implementation of the CPU specification may be built (e.g., the Pascal MicroEngine or a version of a Java processor).

Benefits and weaknesses of implementing p-code

Compared to direct translation into native machine code, a two-stage approach involving translation into p-code and execution by interpreting or just-in-time compilation (JIT) offers several advantages.

  • It is much easier to write a small p-code interpreter for a new machine than it is to modify a compiler to generate native code for the same machine.
  • Generating machine code is one of the more complicated parts of writing a compiler. By comparison, generating p-code is much easier because no machine-dependent behaviour must be considered in generating the bytecode. This makes it useful for getting a compiler up and running quickly.
  • Since p-code is based on an ideal virtual machine, a p-code program is often much smaller than the same program translated to machine code.
  • When the p-code is interpreted, the interpreter can apply additional run-time checks that are difficult to implement with native code.

One of the significant disadvantages of p-code is execution speed, which can sometimes be remedied via JIT compiling. P-code is often also easier to reverse-engineer than native code.

In the early 1980s, at least two operating systems achieved machine independence through extensive use of p-code. The Business Operating System (BOS) was a cross-platform operating system designed to run p-code programs exclusively. The UCSD p-System, developed at The University of California, San Diego, was a self-compiling and self-hosting[clarification needed] operating system based on p-code optimized for generation by the Pascal language.

In the 1990s, translation into p-code became a popular strategy for implementations of languages such as Python, Microsoft P-Code in Visual Basic, and Java bytecode in Java.[4][failed verification]

The language Go uses a generic, portable assembly as a form of p-code, implemented by Ken Thompson as an extension of the work on Plan 9 from Bell Labs. Unlike Common Language Runtime (CLR) bytecode or JVM bytecode, there is no stable specification, and the Go build tools do not emit a bytecode format to be used at a later time. The Go assembler uses the generic assembly language as an intermediate representation, and Go executables are machine-specific statically linked binaries.[5]

UCSD p-Machine


Like many other p-code machines, the UCSD p-Machine is a stack machine, which means that most instructions take their operands from a stack, and place results back on the stack. Thus, the add instruction replaces the two topmost elements of the stack with their sum. A few instructions take an immediate argument. Like Pascal, the p-code is strongly typed, supporting boolean (b), character (c), integer (i), real (r), set (s), and pointer (a) data types natively.

Some simple instructions:

Insn.   Stack   Stack   Description
        before  after
adi      i1 i2   i1+i2   add two integers
adr      r1 r2   r1+r2   add two reals
dvi      i1 i2   i1/i2   integer division
inn      i1 s1   b1      set membership; b1 = whether i1 is a member of s1
ldci     i1      i1      load integer constant
mov      a1      a2      move
not      b1      ~b1     boolean negation


Unlike other stack-based environments (such as Forth and the Java virtual machine) but very similar to a real target CPU, the p-System has only one stack shared by procedure stack frames (providing return address, etc.) and the arguments to local instructions. Three of the machine's registers point into the stack (which grows upwards):

  • SP points to the top of the stack (the stack pointer).
  • MP marks the beginning of the active stack frame (the mark pointer).
  • EP points to the highest stack location used in the current procedure (the extreme pointer).

Also present is a constant area, and, below that, the heap growing down towards the stack. The NP (the new pointer) register points to the top (lowest used address) of the heap. When EP gets greater than NP, the machine's memory is exhausted.

The fifth register, PC, points at the current instruction in the code area.

Calling conventions

Stack frames look like this:

EP ->
      local stack
SP -> ...
      return address (previous PC)
      previous EP
      dynamic link (previous MP)
      static link (MP of surrounding procedure)
MP -> function return value

The procedure calling sequence works as follows: The call is introduced with

 mst n

where n specifies the difference in nesting levels (remember that Pascal supports nested procedures). This instruction will mark the stack, i.e. reserve the first five cells of the above stack frame, and initialise previous EP, dynamic, and static link. The caller then computes and pushes any parameters for the procedure, and then issues

 cup n, p

to call a user procedure (n being the number of parameters, p the procedure's address). This will save the PC in the return address cell, and set the procedure's address as the new PC.

User procedures begin with the two instructions

 ent 1, i
 ent 2, j

The first sets SP to MP + i, the second sets EP to SP + j. So i essentially specifies the space reserved for locals (plus the number of parameters plus 5), and j gives the number of entries needed locally for the stack. Memory exhaustion is checked at this point.

Returning to the caller is accomplished via


with C giving the return type (i, r, c, b, a as above, and p for no return value). The return value has to be stored in the appropriate cell previously. On all types except p, returning will leave this value on the stack.

Instead of calling a user procedure (cup), standard procedure q can be called with

 csp q

These standard procedures are Pascal procedures like readln() (csp rln), sin() (csp sin), etc. Peculiarly eof() is a p-Code instruction instead.

Example machine

Niklaus Wirth specified a simple p-code machine in the 1976 book Algorithms + Data Structures = Programs. The machine had 3 registers - a program counter p, a base register b, and a top-of-stack register t. There were 8 instructions:

  1. lit 0, a  : load constant a
  2. opr 0, a  : execute operation a (13 operations: RETURN, 5 math functions, and 7 comparison functions)
  3. lod l, a  : load variable l,a
  4. sto l, a  : store variable l,a
  5. cal l, a  : call procedure a at level l
  6. int 0, a  : increment t-register by a
  7. jmp 0, a  : jump to a
  8. jpc 0, a  : jump conditional to a[6]

This is the code for the machine, written in Pascal:

	amax=2047;      {maximum address}
	levmax=3;       {maximum depth of block nesting}
	cxmax=200;      {size of code array}

	instruction=packed record 

	code: array [0..cxmax] of instruction;

procedure interpret;

  const stacksize = 500;

    p, b, t: integer; {program-, base-, topstack-registers}
    i: instruction; {instruction register}
    s: array [1..stacksize] of integer; {datastore}

  function base(l: integer): integer;
    var b1: integer;
    b1 := b; {find base l levels down}
    while l > 0 do begin
      b1 := s[b1];
      l := l - 1
    base := b1
  end {base};

  writeln(' start pl/0');
  t := 0; b := 1; p := 0;
  s[1] := 0; s[2] := 0; s[3] := 0;
    i := code[p]; p := p + 1;
    with i do
      case f of
        lit: begin t := t + 1; s[t] := a end;
          case a of {operator}
              begin {return}
                t := b - 1; p := s[t + 3]; b := s[t + 2];
            1: s[t] := -s[t];
            2: begin t := t - 1; s[t] := s[t] + s[t + 1] end;
            3: begin t := t - 1; s[t] := s[t] - s[t + 1] end;
            4: begin t := t - 1; s[t] := s[t] * s[t + 1] end;
            5: begin t := t - 1; s[t] := s[t] div s[t + 1] end;
            6: s[t] := ord(odd(s[t]));
            8: begin t := t - 1; s[t] := ord(s[t] = s[t + 1]) end;
            9: begin t := t - 1; s[t] := ord(s[t] <> s[t + 1]) end;
            10: begin t := t - 1; s[t] := ord(s[t] < s[t + 1]) end;
            11: begin t := t - 1; s[t] := ord(s[t] >= s[t + 1]) end;
            12: begin t := t - 1; s[t] := ord(s[t] > s[t + 1]) end;
            13: begin t := t - 1; s[t] := ord(s[t] <= s[t + 1]) end;
        lod: begin t := t + 1; s[t] := s[base(l) + a] end;
        sto: begin s[base(l)+a] := s[t]; writeln(s[t]); t := t - 1 end;
          begin {generate new block mark}
            s[t + 1] := base(l); s[t + 2] := b; s[t + 3] := p;
            b := t + 1; p := a
        int: t := t + a;
        jmp: p := a;
        jpc: begin if s[t] = 0 then p := a; t := t - 1 end
      end {with, case}
  until p = 0;
  writeln(' end pl/0');
end {interpret};

This machine was used to run Wirth's PL/0, a Pascal subset compiler used to teach compiler development.[7][failed verification]

See also

  • Apple Integer Sweet 16
  • Bytecode
  • Joel McCormack, designer of the NCR Corporation version of the p-code machine
  • Microsoft P-Code
  • Runtime system
  • Token threading


  1. ^ Upton, Eben; Duntemann, Jeffrey; Roberts, Ralph; Mamtora, Tim; Everard, Ben (2016-09-13). Learning Computer Architecture with Raspberry Pi. John Wiley & Sons. ISBN 978-1-119-18393-8.
  2. ^ Wirth, Niklaus; Weber, Helmut (1966). "EULER: a generalization of ALGOL, and its formal definition: Part II". Communications of the ACM. New York, USA: Association for Computing Machinery (ACM). 9 (2): 89–99. doi:10.1145/365170.365202. S2CID 12124100.
  3. ^ Nori, Kesav V.; Ammann, Urs; Jensen, Kathleen; Nägeli, Hans-Heinrich; Jacobi, Christian (1975). The Pascal P Compiler Implementation Notes. Zürich, Switzerland: Eidgenössische Technische Hochschule (ETH).
  4. ^ "The p-code system".
  5. ^ Pike, Robert C. (2016). "The Design of the Go Assembler" (Conference talk). Retrieved 2017-08-25.
  6. ^ "Category Archives: Wirth - Euler - Designed by Niklaus Wirth and Helmut Weber". Pascal for small machines - Wirth languages, Pascal, UCSD, Turbo, Delphi, Freepascal, Oberon. 2018-08-02.
  7. ^ Alpert, Donald (September 1979). A Pascal P-Code Interpreter for the Stanford Emmy (PDF) (Report). Computer Systems Laboratory, Departments of Eleotrioal Engineering and Computer Scienoes, Stanford University. Technioal Note No. 164.

Further reading

By: Wikipedia.org
Edited: 2021-06-18 18:48:49
Source: Wikipedia.org