In computer architecture, what does vector processing mean?

Vector processing is a computing technique where the same operation is applied to multiple data elements simultaneously (in parallel), rather than sequentially. Option A correctly captures this parallel processing of vector/array elements. Option B describes sequential processing, which contradicts vector processing's core principle. Option C refers to bit-level transmission, unrelated to vector operations. Option D describes scalar pipelining, not vector processing.

Step-by-step Derivation:
Vector processing (or SIMD—Single Instruction Multiple Data) executes one instruction on multiple data points concurrently. This fundamentally differs from scalar processing (one operation at a time). When we process vectors—whether row or column oriented—the architecture applies the same operation across all elements in parallel, achieving significant performance gains for data-parallel workloads like matrix operations, signal processing, and scientific computing. Option A best encapsulates this definition.