Computational Operation
TLDR: A computational operation refers to any task performed by a computer's processor that manipulates data according to specific instructions. These operations include arithmetic calculations, logical comparisons, data movement, and control flow adjustments. Introduced as a concept in the early days of computing, computational operations form the foundation of all program execution, enabling systems to perform everything from basic calculations to complex algorithms.
https://en.wikipedia.org/wiki/Computation
The primary types of computational operations include arithmetic operations (e.g., addition, subtraction, multiplication, division), logical operations (e.g., AND, OR, NOT), and bitwise operations (e.g., shifts, AND, XOR). Processors execute these tasks using machine code instructions, with each operation corresponding to a specific command in the instruction set architecture (e.g., x86 or ARM). For example, in CPP, adding two numbers (`a + b`) translates into a sequence of low-level instructions executed by the processor.
https://www.gnu.org/software/libc/manual/html_node/Arithmetic-Operations.html
Modern systems extend computational operations with advanced capabilities like vector operations (SIMD) for processing multiple data points simultaneously and floating-point arithmetic for precision calculations. These operations are optimized by compilers and specialized hardware units, such as floating-point units (FPUs) or graphics processing units (GPUs), to improve performance. The efficiency of computational operations directly impacts application performance, making their optimization a critical focus in both hardware and software design.
https://docs.oracle.com/en/java/javase/20/troubleshooting/debugging-overview.html