Pseudoinstruction

alpharithms fallback 1

Pseudoinstructions are elements within assembly language that abstract common sequences of instructions. These elements are implemented to simplify programmer interfacing and source code complexity.

Pseudoinstructions are software-implementations and aren’t necessary to be made at a hardware level. Common examples of Pseudoinstructions, taken from the MIPS assembly language, include the following:

  • blt 
  • bgt
  • ble
  • li
  • move

To better illustrate how pseudoinstructions are used, consider the following MIPS code:

.data
.text
main:
    li $t0, 9		# load 9 into temp. register 0
    li $v0, 10		# Begin end sequence
    syscall

Note the instruction that loads the value 9 into the first temporary register: li $t0, 9. This is a pseudoinstruction that represents the following:

addiu $8, $0, 0x00000009

There’s a lot more going on in that abstraction that one might have guessed. Let’s break things down:

  1. li gets converted to addiu
  2. $t0 gets converted to $0
  3. 9 gets converted to 0x00000009

It’s enlightening to realize that the assembler doesn’t need human-friendly register names or numerical representations. Skipping these; let’s consider how the li gets converted into the addiu and an additional element, the 0, gets added into the mix.

The $t0 register is “getting” a new value; one specified explicitly by the programmer in this case. There is no preceding operation involving other values. As such, the assembler can consider the immediate value to be relative to zero. This allows a simple and cheap operation such as add to be used for either negative or positive values.

This basic example of pseduoinstructions helps illustrate how many common commands found in assembly languages like MIPS abstract away common sequences to reduce typing—or to simply make things easier to remember. Store the result of adding 0 and 0x00000009 into register $3? No way. Just load 9 into the third temporary register.

 

 

Zαck West
Full-Stack Software Engineer with 10+ years of experience. Expertise in developing distributed systems, implementing object-oriented models with a focus on semantic clarity, driving development with TDD, enhancing interfaces through thoughtful visual design, and developing deep learning agents.