Superscalar cores discover independent scalar instructions dynamically; vector architectures let software state data parallelism explicitly. Modern CPUs combine both ideas.
Instruction-level parallelism is the amount of independent work available among instructions in one thread. It is the raw material used by superscalar and out-of-order CPUs.
SIMD and vector processing overlap, but they are not always interchangeable terms. This guide separates fixed-width packed SIMD from richer vector-length-based execution models.
A superscalar processor can issue multiple independent instructions during the same cycle. Learn how fetch width, renaming, scheduling and execution resources make that possible.
A vector processor applies one operation across many data elements using vector registers and vector instructions. Here is how the model works and why it still matters.