👉 Sans computing is a conceptual framework that emerged in the late 1990s and early 2000s, primarily associated with the work of researchers like Michael Negnevitsky. It refers to a computational paradigm that emphasizes the use of simple, low-level programming constructs and minimal abstractions to achieve efficient computation. Unlike traditional high-level programming languages that abstract away many details, sans computing focuses on writing code that is as close to machine code as possible, often using assembly-like syntax and minimal libraries. This approach aims to optimize performance by minimizing overhead and maximizing control over hardware resources, making it particularly useful for developing highly efficient software in domains such as embedded systems, real-time applications, and high-performance computing. The philosophy behind sans computing is to strip away unnecessary complexity, allowing developers to write code that is both highly optimized and easier to understand and maintain in critical applications.
