Severalcal

Severalcal is a conceptual programming paradigm that emphasizes the simultaneous execution of multiple independent computational processes. Unlike traditional parallel processing or concurrent programming, which often involve managing shared resources and intricate synchronization mechanisms, severalcal focuses on isolating these processes to minimize interdependencies. Each "several" is designed to operate autonomously, receiving initial input and producing its final output without direct communication or interaction with other "severals" during its execution.

The core principle of severalcal is to break down a complex problem into a collection of self-contained, deterministic units. These units can then be executed independently, potentially on different processors or even at different times. The results from these "severals" are later combined or aggregated to produce the overall solution. This approach aims to simplify development by abstracting away the complexities of inter-process communication and synchronization. It is particularly suited for problems that can be naturally decomposed into discrete, independent tasks, such as certain types of data analysis, simulations, or rendering operations. The lack of direct interaction between "severals" theoretically enhances robustness, as the failure of one "several" does not necessarily impact the others. However, the challenge lies in effectively defining and coordinating the initial inputs and final aggregation of results for all participating "severals."