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Assembly Language & x86 Low-Level Systems Programming · Lesson

Floating-Point Precision, Rounding, and Exceptions

Understand IEEE 754 representation, rounding modes, and how the FPU and SSE units signal exceptions like overflow, underflow, and invalid operations.

IEEE 754 Format

x86 floating-point follows the IEEE 754 standard. A number is stored as sign, exponent, and mantissa:

  • Single (32-bit): 1 + 8 + 23
  • Double (64-bit): 1 + 11 + 52
  • Extended (80-bit): used internally by the x87 FPU

Why Precision Matters

Most decimal fractions cannot be represented exactly in binary. For example 0.1 + 0.2 does not equal exactly 0.3. Accumulated rounding error is a core hazard in numerical code.

All lessons in this course

  1. x87 FPU Programming Basics
  2. SSE/AVX Instruction Sets Introduction
  3. Vectorizing Code with SIMD
  4. Floating-Point Precision, Rounding, and Exceptions
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